# frozen_string_literal: true # WARNING ABOUT GENERATED CODE # # This file is generated. See the contributing guide for more information: # https://github.com/aws/aws-sdk-ruby/blob/version-3/CONTRIBUTING.md # # WARNING ABOUT GENERATED CODE require 'seahorse/client/plugins/content_length.rb' require 'aws-sdk-core/plugins/credentials_configuration.rb' require 'aws-sdk-core/plugins/logging.rb' require 'aws-sdk-core/plugins/param_converter.rb' require 'aws-sdk-core/plugins/param_validator.rb' require 'aws-sdk-core/plugins/user_agent.rb' require 'aws-sdk-core/plugins/helpful_socket_errors.rb' require 'aws-sdk-core/plugins/retry_errors.rb' require 'aws-sdk-core/plugins/global_configuration.rb' require 'aws-sdk-core/plugins/regional_endpoint.rb' require 'aws-sdk-core/plugins/endpoint_discovery.rb' require 'aws-sdk-core/plugins/endpoint_pattern.rb' require 'aws-sdk-core/plugins/response_paging.rb' require 'aws-sdk-core/plugins/stub_responses.rb' require 'aws-sdk-core/plugins/idempotency_token.rb' require 'aws-sdk-core/plugins/jsonvalue_converter.rb' require 'aws-sdk-core/plugins/client_metrics_plugin.rb' require 'aws-sdk-core/plugins/client_metrics_send_plugin.rb' require 'aws-sdk-core/plugins/transfer_encoding.rb' require 'aws-sdk-core/plugins/http_checksum.rb' require 'aws-sdk-core/plugins/checksum_algorithm.rb' require 'aws-sdk-core/plugins/request_compression.rb' require 'aws-sdk-core/plugins/defaults_mode.rb' require 'aws-sdk-core/plugins/recursion_detection.rb' require 'aws-sdk-core/plugins/sign.rb' require 'aws-sdk-core/plugins/protocols/json_rpc.rb' Aws::Plugins::GlobalConfiguration.add_identifier(:textract) module Aws::Textract # An API client for Textract. To construct a client, you need to configure a `:region` and `:credentials`. # # client = Aws::Textract::Client.new( # region: region_name, # credentials: credentials, # # ... # ) # # For details on configuring region and credentials see # the [developer guide](/sdk-for-ruby/v3/developer-guide/setup-config.html). # # See {#initialize} for a full list of supported configuration options. class Client < Seahorse::Client::Base include Aws::ClientStubs @identifier = :textract set_api(ClientApi::API) add_plugin(Seahorse::Client::Plugins::ContentLength) add_plugin(Aws::Plugins::CredentialsConfiguration) add_plugin(Aws::Plugins::Logging) add_plugin(Aws::Plugins::ParamConverter) add_plugin(Aws::Plugins::ParamValidator) add_plugin(Aws::Plugins::UserAgent) add_plugin(Aws::Plugins::HelpfulSocketErrors) add_plugin(Aws::Plugins::RetryErrors) add_plugin(Aws::Plugins::GlobalConfiguration) add_plugin(Aws::Plugins::RegionalEndpoint) add_plugin(Aws::Plugins::EndpointDiscovery) add_plugin(Aws::Plugins::EndpointPattern) add_plugin(Aws::Plugins::ResponsePaging) add_plugin(Aws::Plugins::StubResponses) add_plugin(Aws::Plugins::IdempotencyToken) add_plugin(Aws::Plugins::JsonvalueConverter) add_plugin(Aws::Plugins::ClientMetricsPlugin) add_plugin(Aws::Plugins::ClientMetricsSendPlugin) add_plugin(Aws::Plugins::TransferEncoding) add_plugin(Aws::Plugins::HttpChecksum) add_plugin(Aws::Plugins::ChecksumAlgorithm) add_plugin(Aws::Plugins::RequestCompression) add_plugin(Aws::Plugins::DefaultsMode) add_plugin(Aws::Plugins::RecursionDetection) add_plugin(Aws::Plugins::Sign) add_plugin(Aws::Plugins::Protocols::JsonRpc) add_plugin(Aws::Textract::Plugins::Endpoints) # @overload initialize(options) # @param [Hash] options # @option options [required, Aws::CredentialProvider] :credentials # Your AWS credentials. This can be an instance of any one of the # following classes: # # * `Aws::Credentials` - Used for configuring static, non-refreshing # credentials. # # * `Aws::SharedCredentials` - Used for loading static credentials from a # shared file, such as `~/.aws/config`. # # * `Aws::AssumeRoleCredentials` - Used when you need to assume a role. # # * `Aws::AssumeRoleWebIdentityCredentials` - Used when you need to # assume a role after providing credentials via the web. # # * `Aws::SSOCredentials` - Used for loading credentials from AWS SSO using an # access token generated from `aws login`. # # * `Aws::ProcessCredentials` - Used for loading credentials from a # process that outputs to stdout. # # * `Aws::InstanceProfileCredentials` - Used for loading credentials # from an EC2 IMDS on an EC2 instance. # # * `Aws::ECSCredentials` - Used for loading credentials from # instances running in ECS. # # * `Aws::CognitoIdentityCredentials` - Used for loading credentials # from the Cognito Identity service. # # When `:credentials` are not configured directly, the following # locations will be searched for credentials: # # * `Aws.config[:credentials]` # * The `:access_key_id`, `:secret_access_key`, and `:session_token` options. # * ENV['AWS_ACCESS_KEY_ID'], ENV['AWS_SECRET_ACCESS_KEY'] # * `~/.aws/credentials` # * `~/.aws/config` # * EC2/ECS IMDS instance profile - When used by default, the timeouts # are very aggressive. Construct and pass an instance of # `Aws::InstanceProfileCredentails` or `Aws::ECSCredentials` to # enable retries and extended timeouts. Instance profile credential # fetching can be disabled by setting ENV['AWS_EC2_METADATA_DISABLED'] # to true. # # @option options [required, String] :region # The AWS region to connect to. The configured `:region` is # used to determine the service `:endpoint`. When not passed, # a default `:region` is searched for in the following locations: # # * `Aws.config[:region]` # * `ENV['AWS_REGION']` # * `ENV['AMAZON_REGION']` # * `ENV['AWS_DEFAULT_REGION']` # * `~/.aws/credentials` # * `~/.aws/config` # # @option options [String] :access_key_id # # @option options [Boolean] :active_endpoint_cache (false) # When set to `true`, a thread polling for endpoints will be running in # the background every 60 secs (default). Defaults to `false`. # # @option options [Boolean] :adaptive_retry_wait_to_fill (true) # Used only in `adaptive` retry mode. When true, the request will sleep # until there is sufficent client side capacity to retry the request. # When false, the request will raise a `RetryCapacityNotAvailableError` and will # not retry instead of sleeping. # # @option options [Boolean] :client_side_monitoring (false) # When `true`, client-side metrics will be collected for all API requests from # this client. # # @option options [String] :client_side_monitoring_client_id ("") # Allows you to provide an identifier for this client which will be attached to # all generated client side metrics. Defaults to an empty string. # # @option options [String] :client_side_monitoring_host ("127.0.0.1") # Allows you to specify the DNS hostname or IPv4 or IPv6 address that the client # side monitoring agent is running on, where client metrics will be published via UDP. # # @option options [Integer] :client_side_monitoring_port (31000) # Required for publishing client metrics. The port that the client side monitoring # agent is running on, where client metrics will be published via UDP. # # @option options [Aws::ClientSideMonitoring::Publisher] :client_side_monitoring_publisher (Aws::ClientSideMonitoring::Publisher) # Allows you to provide a custom client-side monitoring publisher class. By default, # will use the Client Side Monitoring Agent Publisher. # # @option options [Boolean] :convert_params (true) # When `true`, an attempt is made to coerce request parameters into # the required types. # # @option options [Boolean] :correct_clock_skew (true) # Used only in `standard` and adaptive retry modes. Specifies whether to apply # a clock skew correction and retry requests with skewed client clocks. # # @option options [String] :defaults_mode ("legacy") # See {Aws::DefaultsModeConfiguration} for a list of the # accepted modes and the configuration defaults that are included. # # @option options [Boolean] :disable_host_prefix_injection (false) # Set to true to disable SDK automatically adding host prefix # to default service endpoint when available. # # @option options [Boolean] :disable_request_compression (false) # When set to 'true' the request body will not be compressed # for supported operations. # # @option options [String] :endpoint # The client endpoint is normally constructed from the `:region` # option. You should only configure an `:endpoint` when connecting # to test or custom endpoints. This should be a valid HTTP(S) URI. # # @option options [Integer] :endpoint_cache_max_entries (1000) # Used for the maximum size limit of the LRU cache storing endpoints data # for endpoint discovery enabled operations. Defaults to 1000. # # @option options [Integer] :endpoint_cache_max_threads (10) # Used for the maximum threads in use for polling endpoints to be cached, defaults to 10. # # @option options [Integer] :endpoint_cache_poll_interval (60) # When :endpoint_discovery and :active_endpoint_cache is enabled, # Use this option to config the time interval in seconds for making # requests fetching endpoints information. Defaults to 60 sec. # # @option options [Boolean] :endpoint_discovery (false) # When set to `true`, endpoint discovery will be enabled for operations when available. # # @option options [Boolean] :ignore_configured_endpoint_urls # Setting to true disables use of endpoint URLs provided via environment # variables and the shared configuration file. # # @option options [Aws::Log::Formatter] :log_formatter (Aws::Log::Formatter.default) # The log formatter. # # @option options [Symbol] :log_level (:info) # The log level to send messages to the `:logger` at. # # @option options [Logger] :logger # The Logger instance to send log messages to. If this option # is not set, logging will be disabled. # # @option options [Integer] :max_attempts (3) # An integer representing the maximum number attempts that will be made for # a single request, including the initial attempt. For example, # setting this value to 5 will result in a request being retried up to # 4 times. Used in `standard` and `adaptive` retry modes. # # @option options [String] :profile ("default") # Used when loading credentials from the shared credentials file # at HOME/.aws/credentials. When not specified, 'default' is used. # # @option options [Integer] :request_min_compression_size_bytes (10240) # The minimum size in bytes that triggers compression for request # bodies. The value must be non-negative integer value between 0 # and 10485780 bytes inclusive. # # @option options [Proc] :retry_backoff # A proc or lambda used for backoff. Defaults to 2**retries * retry_base_delay. # This option is only used in the `legacy` retry mode. # # @option options [Float] :retry_base_delay (0.3) # The base delay in seconds used by the default backoff function. This option # is only used in the `legacy` retry mode. # # @option options [Symbol] :retry_jitter (:none) # A delay randomiser function used by the default backoff function. # Some predefined functions can be referenced by name - :none, :equal, :full, # otherwise a Proc that takes and returns a number. This option is only used # in the `legacy` retry mode. # # @see https://www.awsarchitectureblog.com/2015/03/backoff.html # # @option options [Integer] :retry_limit (3) # The maximum number of times to retry failed requests. Only # ~ 500 level server errors and certain ~ 400 level client errors # are retried. Generally, these are throttling errors, data # checksum errors, networking errors, timeout errors, auth errors, # endpoint discovery, and errors from expired credentials. # This option is only used in the `legacy` retry mode. # # @option options [Integer] :retry_max_delay (0) # The maximum number of seconds to delay between retries (0 for no limit) # used by the default backoff function. This option is only used in the # `legacy` retry mode. # # @option options [String] :retry_mode ("legacy") # Specifies which retry algorithm to use. Values are: # # * `legacy` - The pre-existing retry behavior. This is default value if # no retry mode is provided. # # * `standard` - A standardized set of retry rules across the AWS SDKs. # This includes support for retry quotas, which limit the number of # unsuccessful retries a client can make. # # * `adaptive` - An experimental retry mode that includes all the # functionality of `standard` mode along with automatic client side # throttling. This is a provisional mode that may change behavior # in the future. # # # @option options [String] :sdk_ua_app_id # A unique and opaque application ID that is appended to the # User-Agent header as app/. It should have a # maximum length of 50. # # @option options [String] :secret_access_key # # @option options [String] :session_token # # @option options [Boolean] :simple_json (false) # Disables request parameter conversion, validation, and formatting. # Also disable response data type conversions. This option is useful # when you want to ensure the highest level of performance by # avoiding overhead of walking request parameters and response data # structures. # # When `:simple_json` is enabled, the request parameters hash must # be formatted exactly as the DynamoDB API expects. # # @option options [Boolean] :stub_responses (false) # Causes the client to return stubbed responses. By default # fake responses are generated and returned. You can specify # the response data to return or errors to raise by calling # {ClientStubs#stub_responses}. See {ClientStubs} for more information. # # ** Please note ** When response stubbing is enabled, no HTTP # requests are made, and retries are disabled. # # @option options [Aws::TokenProvider] :token_provider # A Bearer Token Provider. This can be an instance of any one of the # following classes: # # * `Aws::StaticTokenProvider` - Used for configuring static, non-refreshing # tokens. # # * `Aws::SSOTokenProvider` - Used for loading tokens from AWS SSO using an # access token generated from `aws login`. # # When `:token_provider` is not configured directly, the `Aws::TokenProviderChain` # will be used to search for tokens configured for your profile in shared configuration files. # # @option options [Boolean] :use_dualstack_endpoint # When set to `true`, dualstack enabled endpoints (with `.aws` TLD) # will be used if available. # # @option options [Boolean] :use_fips_endpoint # When set to `true`, fips compatible endpoints will be used if available. # When a `fips` region is used, the region is normalized and this config # is set to `true`. # # @option options [Boolean] :validate_params (true) # When `true`, request parameters are validated before # sending the request. # # @option options [Aws::Textract::EndpointProvider] :endpoint_provider # The endpoint provider used to resolve endpoints. Any object that responds to `#resolve_endpoint(parameters)` where `parameters` is a Struct similar to `Aws::Textract::EndpointParameters` # # @option options [URI::HTTP,String] :http_proxy A proxy to send # requests through. Formatted like 'http://proxy.com:123'. # # @option options [Float] :http_open_timeout (15) The number of # seconds to wait when opening a HTTP session before raising a # `Timeout::Error`. # # @option options [Float] :http_read_timeout (60) The default # number of seconds to wait for response data. This value can # safely be set per-request on the session. # # @option options [Float] :http_idle_timeout (5) The number of # seconds a connection is allowed to sit idle before it is # considered stale. Stale connections are closed and removed # from the pool before making a request. # # @option options [Float] :http_continue_timeout (1) The number of # seconds to wait for a 100-continue response before sending the # request body. This option has no effect unless the request has # "Expect" header set to "100-continue". Defaults to `nil` which # disables this behaviour. This value can safely be set per # request on the session. # # @option options [Float] :ssl_timeout (nil) Sets the SSL timeout # in seconds. # # @option options [Boolean] :http_wire_trace (false) When `true`, # HTTP debug output will be sent to the `:logger`. # # @option options [Boolean] :ssl_verify_peer (true) When `true`, # SSL peer certificates are verified when establishing a # connection. # # @option options [String] :ssl_ca_bundle Full path to the SSL # certificate authority bundle file that should be used when # verifying peer certificates. If you do not pass # `:ssl_ca_bundle` or `:ssl_ca_directory` the the system default # will be used if available. # # @option options [String] :ssl_ca_directory Full path of the # directory that contains the unbundled SSL certificate # authority files for verifying peer certificates. If you do # not pass `:ssl_ca_bundle` or `:ssl_ca_directory` the the # system default will be used if available. # def initialize(*args) super end # @!group API Operations # Analyzes an input document for relationships between detected items. # # The types of information returned are as follows: # # * Form data (key-value pairs). The related information is returned in # two Block objects, each of type `KEY_VALUE_SET`: a KEY `Block` # object and a VALUE `Block` object. For example, *Name: Ana Silva # Carolina* contains a key and value. *Name:* is the key. *Ana Silva # Carolina* is the value. # # * Table and table cell data. A TABLE `Block` object contains # information about a detected table. A CELL `Block` object is # returned for each cell in a table. # # * Lines and words of text. A LINE `Block` object contains one or more # WORD `Block` objects. All lines and words that are detected in the # document are returned (including text that doesn't have a # relationship with the value of `FeatureTypes`). # # * Signatures. A SIGNATURE `Block` object contains the location # information of a signature in a document. If used in conjunction # with forms or tables, a signature can be given a Key-Value pairing # or be detected in the cell of a table. # # * Query. A QUERY Block object contains the query text, alias and link # to the associated Query results block object. # # * Query Result. A QUERY\_RESULT Block object contains the answer to # the query and an ID that connects it to the query asked. This Block # also contains a confidence score. # # Selection elements such as check boxes and option buttons (radio # buttons) can be detected in form data and in tables. A # SELECTION\_ELEMENT `Block` object contains information about a # selection element, including the selection status. # # You can choose which type of analysis to perform by specifying the # `FeatureTypes` list. # # The output is returned in a list of `Block` objects. # # `AnalyzeDocument` is a synchronous operation. To analyze documents # asynchronously, use StartDocumentAnalysis. # # For more information, see [Document Text Analysis][1]. # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/how-it-works-analyzing.html # # @option params [required, Types::Document] :document # The input document as base64-encoded bytes or an Amazon S3 object. If # you use the AWS CLI to call Amazon Textract operations, you can't # pass image bytes. The document must be an image in JPEG, PNG, PDF, or # TIFF format. # # If you're using an AWS SDK to call Amazon Textract, you might not # need to base64-encode image bytes that are passed using the `Bytes` # field. # # @option params [required, Array] :feature_types # A list of the types of analysis to perform. Add TABLES to the list to # return information about the tables that are detected in the input # document. Add FORMS to return detected form data. Add SIGNATURES to # return the locations of detected signatures. Add LAYOUT to the list to # return information about the layout of the document. All lines and # words detected in the document are included in the response (including # text that isn't related to the value of `FeatureTypes`). # # @option params [Types::HumanLoopConfig] :human_loop_config # Sets the configuration for the human in the loop workflow for # analyzing documents. # # @option params [Types::QueriesConfig] :queries_config # Contains Queries and the alias for those Queries, as determined by the # input. # # @option params [Types::AdaptersConfig] :adapters_config # Specifies the adapter to be used when analyzing a document. # # @return [Types::AnalyzeDocumentResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::AnalyzeDocumentResponse#document_metadata #document_metadata} => Types::DocumentMetadata # * {Types::AnalyzeDocumentResponse#blocks #blocks} => Array<Types::Block> # * {Types::AnalyzeDocumentResponse#human_loop_activation_output #human_loop_activation_output} => Types::HumanLoopActivationOutput # * {Types::AnalyzeDocumentResponse#analyze_document_model_version #analyze_document_model_version} => String # # @example Request syntax with placeholder values # # resp = client.analyze_document({ # document: { # required # bytes: "data", # s3_object: { # bucket: "S3Bucket", # name: "S3ObjectName", # version: "S3ObjectVersion", # }, # }, # feature_types: ["TABLES"], # required, accepts TABLES, FORMS, QUERIES, SIGNATURES, LAYOUT # human_loop_config: { # human_loop_name: "HumanLoopName", # required # flow_definition_arn: "FlowDefinitionArn", # required # data_attributes: { # content_classifiers: ["FreeOfPersonallyIdentifiableInformation"], # accepts FreeOfPersonallyIdentifiableInformation, FreeOfAdultContent # }, # }, # queries_config: { # queries: [ # required # { # text: "QueryInput", # required # alias: "QueryInput", # pages: ["QueryPage"], # }, # ], # }, # adapters_config: { # adapters: [ # required # { # adapter_id: "AdapterId", # required # pages: ["AdapterPage"], # version: "AdapterVersion", # required # }, # ], # }, # }) # # @example Response structure # # resp.document_metadata.pages #=> Integer # resp.blocks #=> Array # resp.blocks[0].block_type #=> String, one of "KEY_VALUE_SET", "PAGE", "LINE", "WORD", "TABLE", "CELL", "SELECTION_ELEMENT", "MERGED_CELL", "TITLE", "QUERY", "QUERY_RESULT", "SIGNATURE", "TABLE_TITLE", "TABLE_FOOTER", "LAYOUT_TEXT", "LAYOUT_TITLE", "LAYOUT_HEADER", "LAYOUT_FOOTER", "LAYOUT_SECTION_HEADER", "LAYOUT_PAGE_NUMBER", "LAYOUT_LIST", "LAYOUT_FIGURE", "LAYOUT_TABLE", "LAYOUT_KEY_VALUE" # resp.blocks[0].confidence #=> Float # resp.blocks[0].text #=> String # resp.blocks[0].text_type #=> String, one of "HANDWRITING", "PRINTED" # resp.blocks[0].row_index #=> Integer # resp.blocks[0].column_index #=> Integer # resp.blocks[0].row_span #=> Integer # resp.blocks[0].column_span #=> Integer # resp.blocks[0].geometry.bounding_box.width #=> Float # resp.blocks[0].geometry.bounding_box.height #=> Float # resp.blocks[0].geometry.bounding_box.left #=> Float # resp.blocks[0].geometry.bounding_box.top #=> Float # resp.blocks[0].geometry.polygon #=> Array # resp.blocks[0].geometry.polygon[0].x #=> Float # resp.blocks[0].geometry.polygon[0].y #=> Float # resp.blocks[0].id #=> String # resp.blocks[0].relationships #=> Array # resp.blocks[0].relationships[0].type #=> String, one of "VALUE", "CHILD", "COMPLEX_FEATURES", "MERGED_CELL", "TITLE", "ANSWER", "TABLE", "TABLE_TITLE", "TABLE_FOOTER" # resp.blocks[0].relationships[0].ids #=> Array # resp.blocks[0].relationships[0].ids[0] #=> String # resp.blocks[0].entity_types #=> Array # resp.blocks[0].entity_types[0] #=> String, one of "KEY", "VALUE", "COLUMN_HEADER", "TABLE_TITLE", "TABLE_FOOTER", "TABLE_SECTION_TITLE", "TABLE_SUMMARY", "STRUCTURED_TABLE", "SEMI_STRUCTURED_TABLE" # resp.blocks[0].selection_status #=> String, one of "SELECTED", "NOT_SELECTED" # resp.blocks[0].page #=> Integer # resp.blocks[0].query.text #=> String # resp.blocks[0].query.alias #=> String # resp.blocks[0].query.pages #=> Array # resp.blocks[0].query.pages[0] #=> String # resp.human_loop_activation_output.human_loop_arn #=> String # resp.human_loop_activation_output.human_loop_activation_reasons #=> Array # resp.human_loop_activation_output.human_loop_activation_reasons[0] #=> String # resp.human_loop_activation_output.human_loop_activation_conditions_evaluation_results #=> String # resp.analyze_document_model_version #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/AnalyzeDocument AWS API Documentation # # @overload analyze_document(params = {}) # @param [Hash] params ({}) def analyze_document(params = {}, options = {}) req = build_request(:analyze_document, params) req.send_request(options) end # `AnalyzeExpense` synchronously analyzes an input document for # financially related relationships between text. # # Information is returned as `ExpenseDocuments` and seperated as # follows: # # * `LineItemGroups`- A data set containing `LineItems` which store # information about the lines of text, such as an item purchased and # its price on a receipt. # # * `SummaryFields`- Contains all other information a receipt, such as # header information or the vendors name. # # @option params [required, Types::Document] :document # The input document, either as bytes or as an S3 object. # # You pass image bytes to an Amazon Textract API operation by using the # `Bytes` property. For example, you would use the `Bytes` property to # pass a document loaded from a local file system. Image bytes passed by # using the `Bytes` property must be base64 encoded. Your code might not # need to encode document file bytes if you're using an AWS SDK to call # Amazon Textract API operations. # # You pass images stored in an S3 bucket to an Amazon Textract API # operation by using the `S3Object` property. Documents stored in an S3 # bucket don't need to be base64 encoded. # # The AWS Region for the S3 bucket that contains the S3 object must # match the AWS Region that you use for Amazon Textract operations. # # If you use the AWS CLI to call Amazon Textract operations, passing # image bytes using the Bytes property isn't supported. You must first # upload the document to an Amazon S3 bucket, and then call the # operation using the S3Object property. # # For Amazon Textract to process an S3 object, the user must have # permission to access the S3 object. # # @return [Types::AnalyzeExpenseResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::AnalyzeExpenseResponse#document_metadata #document_metadata} => Types::DocumentMetadata # * {Types::AnalyzeExpenseResponse#expense_documents #expense_documents} => Array<Types::ExpenseDocument> # # @example Request syntax with placeholder values # # resp = client.analyze_expense({ # document: { # required # bytes: "data", # s3_object: { # bucket: "S3Bucket", # name: "S3ObjectName", # version: "S3ObjectVersion", # }, # }, # }) # # @example Response structure # # resp.document_metadata.pages #=> Integer # resp.expense_documents #=> Array # resp.expense_documents[0].expense_index #=> Integer # resp.expense_documents[0].summary_fields #=> Array # resp.expense_documents[0].summary_fields[0].type.text #=> String # resp.expense_documents[0].summary_fields[0].type.confidence #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.text #=> String # resp.expense_documents[0].summary_fields[0].label_detection.geometry.bounding_box.width #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.geometry.bounding_box.height #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.geometry.bounding_box.left #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.geometry.bounding_box.top #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.geometry.polygon #=> Array # resp.expense_documents[0].summary_fields[0].label_detection.geometry.polygon[0].x #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.geometry.polygon[0].y #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.confidence #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.text #=> String # resp.expense_documents[0].summary_fields[0].value_detection.geometry.bounding_box.width #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.geometry.bounding_box.height #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.geometry.bounding_box.left #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.geometry.bounding_box.top #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.geometry.polygon #=> Array # resp.expense_documents[0].summary_fields[0].value_detection.geometry.polygon[0].x #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.geometry.polygon[0].y #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.confidence #=> Float # resp.expense_documents[0].summary_fields[0].page_number #=> Integer # resp.expense_documents[0].summary_fields[0].currency.code #=> String # resp.expense_documents[0].summary_fields[0].currency.confidence #=> Float # resp.expense_documents[0].summary_fields[0].group_properties #=> Array # resp.expense_documents[0].summary_fields[0].group_properties[0].types #=> Array # resp.expense_documents[0].summary_fields[0].group_properties[0].types[0] #=> String # resp.expense_documents[0].summary_fields[0].group_properties[0].id #=> String # resp.expense_documents[0].line_item_groups #=> Array # resp.expense_documents[0].line_item_groups[0].line_item_group_index #=> Integer # resp.expense_documents[0].line_item_groups[0].line_items #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].type.text #=> String # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].type.confidence #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.text #=> String # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.width #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.height #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.left #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.top #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.polygon #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.polygon[0].x #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.polygon[0].y #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.confidence #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.text #=> String # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.width #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.height #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.left #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.top #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.polygon #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.polygon[0].x #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.polygon[0].y #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.confidence #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].page_number #=> Integer # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].currency.code #=> String # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].currency.confidence #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties[0].types #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties[0].types[0] #=> String # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties[0].id #=> String # resp.expense_documents[0].blocks #=> Array # resp.expense_documents[0].blocks[0].block_type #=> String, one of "KEY_VALUE_SET", "PAGE", "LINE", "WORD", "TABLE", "CELL", "SELECTION_ELEMENT", "MERGED_CELL", "TITLE", "QUERY", "QUERY_RESULT", "SIGNATURE", "TABLE_TITLE", "TABLE_FOOTER", "LAYOUT_TEXT", "LAYOUT_TITLE", "LAYOUT_HEADER", "LAYOUT_FOOTER", "LAYOUT_SECTION_HEADER", "LAYOUT_PAGE_NUMBER", "LAYOUT_LIST", "LAYOUT_FIGURE", "LAYOUT_TABLE", "LAYOUT_KEY_VALUE" # resp.expense_documents[0].blocks[0].confidence #=> Float # resp.expense_documents[0].blocks[0].text #=> String # resp.expense_documents[0].blocks[0].text_type #=> String, one of "HANDWRITING", "PRINTED" # resp.expense_documents[0].blocks[0].row_index #=> Integer # resp.expense_documents[0].blocks[0].column_index #=> Integer # resp.expense_documents[0].blocks[0].row_span #=> Integer # resp.expense_documents[0].blocks[0].column_span #=> Integer # resp.expense_documents[0].blocks[0].geometry.bounding_box.width #=> Float # resp.expense_documents[0].blocks[0].geometry.bounding_box.height #=> Float # resp.expense_documents[0].blocks[0].geometry.bounding_box.left #=> Float # resp.expense_documents[0].blocks[0].geometry.bounding_box.top #=> Float # resp.expense_documents[0].blocks[0].geometry.polygon #=> Array # resp.expense_documents[0].blocks[0].geometry.polygon[0].x #=> Float # resp.expense_documents[0].blocks[0].geometry.polygon[0].y #=> Float # resp.expense_documents[0].blocks[0].id #=> String # resp.expense_documents[0].blocks[0].relationships #=> Array # resp.expense_documents[0].blocks[0].relationships[0].type #=> String, one of "VALUE", "CHILD", "COMPLEX_FEATURES", "MERGED_CELL", "TITLE", "ANSWER", "TABLE", "TABLE_TITLE", "TABLE_FOOTER" # resp.expense_documents[0].blocks[0].relationships[0].ids #=> Array # resp.expense_documents[0].blocks[0].relationships[0].ids[0] #=> String # resp.expense_documents[0].blocks[0].entity_types #=> Array # resp.expense_documents[0].blocks[0].entity_types[0] #=> String, one of "KEY", "VALUE", "COLUMN_HEADER", "TABLE_TITLE", "TABLE_FOOTER", "TABLE_SECTION_TITLE", "TABLE_SUMMARY", "STRUCTURED_TABLE", "SEMI_STRUCTURED_TABLE" # resp.expense_documents[0].blocks[0].selection_status #=> String, one of "SELECTED", "NOT_SELECTED" # resp.expense_documents[0].blocks[0].page #=> Integer # resp.expense_documents[0].blocks[0].query.text #=> String # resp.expense_documents[0].blocks[0].query.alias #=> String # resp.expense_documents[0].blocks[0].query.pages #=> Array # resp.expense_documents[0].blocks[0].query.pages[0] #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/AnalyzeExpense AWS API Documentation # # @overload analyze_expense(params = {}) # @param [Hash] params ({}) def analyze_expense(params = {}, options = {}) req = build_request(:analyze_expense, params) req.send_request(options) end # Analyzes identity documents for relevant information. This information # is extracted and returned as `IdentityDocumentFields`, which records # both the normalized field and value of the extracted text. Unlike # other Amazon Textract operations, `AnalyzeID` doesn't return any # Geometry data. # # @option params [required, Array] :document_pages # The document being passed to AnalyzeID. # # @return [Types::AnalyzeIDResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::AnalyzeIDResponse#identity_documents #identity_documents} => Array<Types::IdentityDocument> # * {Types::AnalyzeIDResponse#document_metadata #document_metadata} => Types::DocumentMetadata # * {Types::AnalyzeIDResponse#analyze_id_model_version #analyze_id_model_version} => String # # @example Request syntax with placeholder values # # resp = client.analyze_id({ # document_pages: [ # required # { # bytes: "data", # s3_object: { # bucket: "S3Bucket", # name: "S3ObjectName", # version: "S3ObjectVersion", # }, # }, # ], # }) # # @example Response structure # # resp.identity_documents #=> Array # resp.identity_documents[0].document_index #=> Integer # resp.identity_documents[0].identity_document_fields #=> Array # resp.identity_documents[0].identity_document_fields[0].type.text #=> String # resp.identity_documents[0].identity_document_fields[0].type.normalized_value.value #=> String # resp.identity_documents[0].identity_document_fields[0].type.normalized_value.value_type #=> String, one of "DATE" # resp.identity_documents[0].identity_document_fields[0].type.confidence #=> Float # resp.identity_documents[0].identity_document_fields[0].value_detection.text #=> String # resp.identity_documents[0].identity_document_fields[0].value_detection.normalized_value.value #=> String # resp.identity_documents[0].identity_document_fields[0].value_detection.normalized_value.value_type #=> String, one of "DATE" # resp.identity_documents[0].identity_document_fields[0].value_detection.confidence #=> Float # resp.identity_documents[0].blocks #=> Array # resp.identity_documents[0].blocks[0].block_type #=> String, one of "KEY_VALUE_SET", "PAGE", "LINE", "WORD", "TABLE", "CELL", "SELECTION_ELEMENT", "MERGED_CELL", "TITLE", "QUERY", "QUERY_RESULT", "SIGNATURE", "TABLE_TITLE", "TABLE_FOOTER", "LAYOUT_TEXT", "LAYOUT_TITLE", "LAYOUT_HEADER", "LAYOUT_FOOTER", "LAYOUT_SECTION_HEADER", "LAYOUT_PAGE_NUMBER", "LAYOUT_LIST", "LAYOUT_FIGURE", "LAYOUT_TABLE", "LAYOUT_KEY_VALUE" # resp.identity_documents[0].blocks[0].confidence #=> Float # resp.identity_documents[0].blocks[0].text #=> String # resp.identity_documents[0].blocks[0].text_type #=> String, one of "HANDWRITING", "PRINTED" # resp.identity_documents[0].blocks[0].row_index #=> Integer # resp.identity_documents[0].blocks[0].column_index #=> Integer # resp.identity_documents[0].blocks[0].row_span #=> Integer # resp.identity_documents[0].blocks[0].column_span #=> Integer # resp.identity_documents[0].blocks[0].geometry.bounding_box.width #=> Float # resp.identity_documents[0].blocks[0].geometry.bounding_box.height #=> Float # resp.identity_documents[0].blocks[0].geometry.bounding_box.left #=> Float # resp.identity_documents[0].blocks[0].geometry.bounding_box.top #=> Float # resp.identity_documents[0].blocks[0].geometry.polygon #=> Array # resp.identity_documents[0].blocks[0].geometry.polygon[0].x #=> Float # resp.identity_documents[0].blocks[0].geometry.polygon[0].y #=> Float # resp.identity_documents[0].blocks[0].id #=> String # resp.identity_documents[0].blocks[0].relationships #=> Array # resp.identity_documents[0].blocks[0].relationships[0].type #=> String, one of "VALUE", "CHILD", "COMPLEX_FEATURES", "MERGED_CELL", "TITLE", "ANSWER", "TABLE", "TABLE_TITLE", "TABLE_FOOTER" # resp.identity_documents[0].blocks[0].relationships[0].ids #=> Array # resp.identity_documents[0].blocks[0].relationships[0].ids[0] #=> String # resp.identity_documents[0].blocks[0].entity_types #=> Array # resp.identity_documents[0].blocks[0].entity_types[0] #=> String, one of "KEY", "VALUE", "COLUMN_HEADER", "TABLE_TITLE", "TABLE_FOOTER", "TABLE_SECTION_TITLE", "TABLE_SUMMARY", "STRUCTURED_TABLE", "SEMI_STRUCTURED_TABLE" # resp.identity_documents[0].blocks[0].selection_status #=> String, one of "SELECTED", "NOT_SELECTED" # resp.identity_documents[0].blocks[0].page #=> Integer # resp.identity_documents[0].blocks[0].query.text #=> String # resp.identity_documents[0].blocks[0].query.alias #=> String # resp.identity_documents[0].blocks[0].query.pages #=> Array # resp.identity_documents[0].blocks[0].query.pages[0] #=> String # resp.document_metadata.pages #=> Integer # resp.analyze_id_model_version #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/AnalyzeID AWS API Documentation # # @overload analyze_id(params = {}) # @param [Hash] params ({}) def analyze_id(params = {}, options = {}) req = build_request(:analyze_id, params) req.send_request(options) end # Creates an adapter, which can be fine-tuned for enhanced performance # on user provided documents. Takes an AdapterName and FeatureType. # Currently the only supported feature type is `QUERIES`. You can also # provide a Description, Tags, and a ClientRequestToken. You can choose # whether or not the adapter should be AutoUpdated with the AutoUpdate # argument. By default, AutoUpdate is set to DISABLED. # # @option params [required, String] :adapter_name # The name to be assigned to the adapter being created. # # @option params [String] :client_request_token # Idempotent token is used to recognize the request. If the same token # is used with multiple CreateAdapter requests, the same session is # returned. This token is employed to avoid unintentionally creating the # same session multiple times. # # **A suitable default value is auto-generated.** You should normally # not need to pass this option.** # # @option params [String] :description # The description to be assigned to the adapter being created. # # @option params [required, Array] :feature_types # The type of feature that the adapter is being trained on. Currrenly, # supported feature types are: `QUERIES` # # @option params [String] :auto_update # Controls whether or not the adapter should automatically update. # # @option params [Hash] :tags # A list of tags to be added to the adapter. # # @return [Types::CreateAdapterResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::CreateAdapterResponse#adapter_id #adapter_id} => String # # @example Request syntax with placeholder values # # resp = client.create_adapter({ # adapter_name: "AdapterName", # required # client_request_token: "ClientRequestToken", # description: "AdapterDescription", # feature_types: ["TABLES"], # required, accepts TABLES, FORMS, QUERIES, SIGNATURES, LAYOUT # auto_update: "ENABLED", # accepts ENABLED, DISABLED # tags: { # "TagKey" => "TagValue", # }, # }) # # @example Response structure # # resp.adapter_id #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/CreateAdapter AWS API Documentation # # @overload create_adapter(params = {}) # @param [Hash] params ({}) def create_adapter(params = {}, options = {}) req = build_request(:create_adapter, params) req.send_request(options) end # Creates a new version of an adapter. Operates on a provided AdapterId # and a specified dataset provided via the DatasetConfig argument. # Requires that you specify an Amazon S3 bucket with the OutputConfig # argument. You can provide an optional KMSKeyId, an optional # ClientRequestToken, and optional tags. # # @option params [required, String] :adapter_id # A string containing a unique ID for the adapter that will receive a # new version. # # @option params [String] :client_request_token # Idempotent token is used to recognize the request. If the same token # is used with multiple CreateAdapterVersion requests, the same session # is returned. This token is employed to avoid unintentionally creating # the same session multiple times. # # **A suitable default value is auto-generated.** You should normally # not need to pass this option.** # # @option params [required, Types::AdapterVersionDatasetConfig] :dataset_config # Specifies a dataset used to train a new adapter version. Takes a # ManifestS3Object as the value. # # @option params [String] :kms_key_id # The identifier for your AWS Key Management Service key (AWS KMS key). # Used to encrypt your documents. # # @option params [required, Types::OutputConfig] :output_config # Sets whether or not your output will go to a user created bucket. Used # to set the name of the bucket, and the prefix on the output file. # # `OutputConfig` is an optional parameter which lets you adjust where # your output will be placed. By default, Amazon Textract will store the # results internally and can only be accessed by the Get API operations. # With `OutputConfig` enabled, you can set the name of the bucket the # output will be sent to the file prefix of the results where you can # download your results. Additionally, you can set the `KMSKeyID` # parameter to a customer master key (CMK) to encrypt your output. # Without this parameter set Amazon Textract will encrypt server-side # using the AWS managed CMK for Amazon S3. # # Decryption of Customer Content is necessary for processing of the # documents by Amazon Textract. If your account is opted out under an AI # services opt out policy then all unencrypted Customer Content is # immediately and permanently deleted after the Customer Content has # been processed by the service. No copy of of the output is retained by # Amazon Textract. For information about how to opt out, see [ Managing # AI services opt-out policy. ][1] # # For more information on data privacy, see the [Data Privacy FAQ][2]. # # # # [1]: https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_ai-opt-out.html # [2]: https://aws.amazon.com/compliance/data-privacy-faq/ # # @option params [Hash] :tags # A set of tags (key-value pairs) that you want to attach to the adapter # version. # # @return [Types::CreateAdapterVersionResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::CreateAdapterVersionResponse#adapter_id #adapter_id} => String # * {Types::CreateAdapterVersionResponse#adapter_version #adapter_version} => String # # @example Request syntax with placeholder values # # resp = client.create_adapter_version({ # adapter_id: "AdapterId", # required # client_request_token: "ClientRequestToken", # dataset_config: { # required # manifest_s3_object: { # bucket: "S3Bucket", # name: "S3ObjectName", # version: "S3ObjectVersion", # }, # }, # kms_key_id: "KMSKeyId", # output_config: { # required # s3_bucket: "S3Bucket", # required # s3_prefix: "S3ObjectName", # }, # tags: { # "TagKey" => "TagValue", # }, # }) # # @example Response structure # # resp.adapter_id #=> String # resp.adapter_version #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/CreateAdapterVersion AWS API Documentation # # @overload create_adapter_version(params = {}) # @param [Hash] params ({}) def create_adapter_version(params = {}, options = {}) req = build_request(:create_adapter_version, params) req.send_request(options) end # Deletes an Amazon Textract adapter. Takes an AdapterId and deletes the # adapter specified by the ID. # # @option params [required, String] :adapter_id # A string containing a unique ID for the adapter to be deleted. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.delete_adapter({ # adapter_id: "AdapterId", # required # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/DeleteAdapter AWS API Documentation # # @overload delete_adapter(params = {}) # @param [Hash] params ({}) def delete_adapter(params = {}, options = {}) req = build_request(:delete_adapter, params) req.send_request(options) end # Deletes an Amazon Textract adapter version. Requires that you specify # both an AdapterId and a AdapterVersion. Deletes the adapter version # specified by the AdapterId and the AdapterVersion. # # @option params [required, String] :adapter_id # A string containing a unique ID for the adapter version that will be # deleted. # # @option params [required, String] :adapter_version # Specifies the adapter version to be deleted. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.delete_adapter_version({ # adapter_id: "AdapterId", # required # adapter_version: "AdapterVersion", # required # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/DeleteAdapterVersion AWS API Documentation # # @overload delete_adapter_version(params = {}) # @param [Hash] params ({}) def delete_adapter_version(params = {}, options = {}) req = build_request(:delete_adapter_version, params) req.send_request(options) end # Detects text in the input document. Amazon Textract can detect lines # of text and the words that make up a line of text. The input document # must be in one of the following image formats: JPEG, PNG, PDF, or # TIFF. `DetectDocumentText` returns the detected text in an array of # Block objects. # # Each document page has as an associated `Block` of type PAGE. Each # PAGE `Block` object is the parent of LINE `Block` objects that # represent the lines of detected text on a page. A LINE `Block` object # is a parent for each word that makes up the line. Words are # represented by `Block` objects of type WORD. # # `DetectDocumentText` is a synchronous operation. To analyze documents # asynchronously, use StartDocumentTextDetection. # # For more information, see [Document Text Detection][1]. # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html # # @option params [required, Types::Document] :document # The input document as base64-encoded bytes or an Amazon S3 object. If # you use the AWS CLI to call Amazon Textract operations, you can't # pass image bytes. The document must be an image in JPEG or PNG format. # # If you're using an AWS SDK to call Amazon Textract, you might not # need to base64-encode image bytes that are passed using the `Bytes` # field. # # @return [Types::DetectDocumentTextResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::DetectDocumentTextResponse#document_metadata #document_metadata} => Types::DocumentMetadata # * {Types::DetectDocumentTextResponse#blocks #blocks} => Array<Types::Block> # * {Types::DetectDocumentTextResponse#detect_document_text_model_version #detect_document_text_model_version} => String # # @example Request syntax with placeholder values # # resp = client.detect_document_text({ # document: { # required # bytes: "data", # s3_object: { # bucket: "S3Bucket", # name: "S3ObjectName", # version: "S3ObjectVersion", # }, # }, # }) # # @example Response structure # # resp.document_metadata.pages #=> Integer # resp.blocks #=> Array # resp.blocks[0].block_type #=> String, one of "KEY_VALUE_SET", "PAGE", "LINE", "WORD", "TABLE", "CELL", "SELECTION_ELEMENT", "MERGED_CELL", "TITLE", "QUERY", "QUERY_RESULT", "SIGNATURE", "TABLE_TITLE", "TABLE_FOOTER", "LAYOUT_TEXT", "LAYOUT_TITLE", "LAYOUT_HEADER", "LAYOUT_FOOTER", "LAYOUT_SECTION_HEADER", "LAYOUT_PAGE_NUMBER", "LAYOUT_LIST", "LAYOUT_FIGURE", "LAYOUT_TABLE", "LAYOUT_KEY_VALUE" # resp.blocks[0].confidence #=> Float # resp.blocks[0].text #=> String # resp.blocks[0].text_type #=> String, one of "HANDWRITING", "PRINTED" # resp.blocks[0].row_index #=> Integer # resp.blocks[0].column_index #=> Integer # resp.blocks[0].row_span #=> Integer # resp.blocks[0].column_span #=> Integer # resp.blocks[0].geometry.bounding_box.width #=> Float # resp.blocks[0].geometry.bounding_box.height #=> Float # resp.blocks[0].geometry.bounding_box.left #=> Float # resp.blocks[0].geometry.bounding_box.top #=> Float # resp.blocks[0].geometry.polygon #=> Array # resp.blocks[0].geometry.polygon[0].x #=> Float # resp.blocks[0].geometry.polygon[0].y #=> Float # resp.blocks[0].id #=> String # resp.blocks[0].relationships #=> Array # resp.blocks[0].relationships[0].type #=> String, one of "VALUE", "CHILD", "COMPLEX_FEATURES", "MERGED_CELL", "TITLE", "ANSWER", "TABLE", "TABLE_TITLE", "TABLE_FOOTER" # resp.blocks[0].relationships[0].ids #=> Array # resp.blocks[0].relationships[0].ids[0] #=> String # resp.blocks[0].entity_types #=> Array # resp.blocks[0].entity_types[0] #=> String, one of "KEY", "VALUE", "COLUMN_HEADER", "TABLE_TITLE", "TABLE_FOOTER", "TABLE_SECTION_TITLE", "TABLE_SUMMARY", "STRUCTURED_TABLE", "SEMI_STRUCTURED_TABLE" # resp.blocks[0].selection_status #=> String, one of "SELECTED", "NOT_SELECTED" # resp.blocks[0].page #=> Integer # resp.blocks[0].query.text #=> String # resp.blocks[0].query.alias #=> String # resp.blocks[0].query.pages #=> Array # resp.blocks[0].query.pages[0] #=> String # resp.detect_document_text_model_version #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/DetectDocumentText AWS API Documentation # # @overload detect_document_text(params = {}) # @param [Hash] params ({}) def detect_document_text(params = {}, options = {}) req = build_request(:detect_document_text, params) req.send_request(options) end # Gets configuration information for an adapter specified by an # AdapterId, returning information on AdapterName, Description, # CreationTime, AutoUpdate status, and FeatureTypes. # # @option params [required, String] :adapter_id # A string containing a unique ID for the adapter. # # @return [Types::GetAdapterResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetAdapterResponse#adapter_id #adapter_id} => String # * {Types::GetAdapterResponse#adapter_name #adapter_name} => String # * {Types::GetAdapterResponse#creation_time #creation_time} => Time # * {Types::GetAdapterResponse#description #description} => String # * {Types::GetAdapterResponse#feature_types #feature_types} => Array<String> # * {Types::GetAdapterResponse#auto_update #auto_update} => String # * {Types::GetAdapterResponse#tags #tags} => Hash<String,String> # # @example Request syntax with placeholder values # # resp = client.get_adapter({ # adapter_id: "AdapterId", # required # }) # # @example Response structure # # resp.adapter_id #=> String # resp.adapter_name #=> String # resp.creation_time #=> Time # resp.description #=> String # resp.feature_types #=> Array # resp.feature_types[0] #=> String, one of "TABLES", "FORMS", "QUERIES", "SIGNATURES", "LAYOUT" # resp.auto_update #=> String, one of "ENABLED", "DISABLED" # resp.tags #=> Hash # resp.tags["TagKey"] #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/GetAdapter AWS API Documentation # # @overload get_adapter(params = {}) # @param [Hash] params ({}) def get_adapter(params = {}, options = {}) req = build_request(:get_adapter, params) req.send_request(options) end # Gets configuration information for the specified adapter version, # including: AdapterId, AdapterVersion, FeatureTypes, Status, # StatusMessage, DatasetConfig, KMSKeyId, OutputConfig, Tags and # EvaluationMetrics. # # @option params [required, String] :adapter_id # A string specifying a unique ID for the adapter version you want to # retrieve information for. # # @option params [required, String] :adapter_version # A string specifying the adapter version you want to retrieve # information for. # # @return [Types::GetAdapterVersionResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetAdapterVersionResponse#adapter_id #adapter_id} => String # * {Types::GetAdapterVersionResponse#adapter_version #adapter_version} => String # * {Types::GetAdapterVersionResponse#creation_time #creation_time} => Time # * {Types::GetAdapterVersionResponse#feature_types #feature_types} => Array<String> # * {Types::GetAdapterVersionResponse#status #status} => String # * {Types::GetAdapterVersionResponse#status_message #status_message} => String # * {Types::GetAdapterVersionResponse#dataset_config #dataset_config} => Types::AdapterVersionDatasetConfig # * {Types::GetAdapterVersionResponse#kms_key_id #kms_key_id} => String # * {Types::GetAdapterVersionResponse#output_config #output_config} => Types::OutputConfig # * {Types::GetAdapterVersionResponse#evaluation_metrics #evaluation_metrics} => Array<Types::AdapterVersionEvaluationMetric> # * {Types::GetAdapterVersionResponse#tags #tags} => Hash<String,String> # # @example Request syntax with placeholder values # # resp = client.get_adapter_version({ # adapter_id: "AdapterId", # required # adapter_version: "AdapterVersion", # required # }) # # @example Response structure # # resp.adapter_id #=> String # resp.adapter_version #=> String # resp.creation_time #=> Time # resp.feature_types #=> Array # resp.feature_types[0] #=> String, one of "TABLES", "FORMS", "QUERIES", "SIGNATURES", "LAYOUT" # resp.status #=> String, one of "ACTIVE", "AT_RISK", "DEPRECATED", "CREATION_ERROR", "CREATION_IN_PROGRESS" # resp.status_message #=> String # resp.dataset_config.manifest_s3_object.bucket #=> String # resp.dataset_config.manifest_s3_object.name #=> String # resp.dataset_config.manifest_s3_object.version #=> String # resp.kms_key_id #=> String # resp.output_config.s3_bucket #=> String # resp.output_config.s3_prefix #=> String # resp.evaluation_metrics #=> Array # resp.evaluation_metrics[0].baseline.f1_score #=> Float # resp.evaluation_metrics[0].baseline.precision #=> Float # resp.evaluation_metrics[0].baseline.recall #=> Float # resp.evaluation_metrics[0].adapter_version.f1_score #=> Float # resp.evaluation_metrics[0].adapter_version.precision #=> Float # resp.evaluation_metrics[0].adapter_version.recall #=> Float # resp.evaluation_metrics[0].feature_type #=> String, one of "TABLES", "FORMS", "QUERIES", "SIGNATURES", "LAYOUT" # resp.tags #=> Hash # resp.tags["TagKey"] #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/GetAdapterVersion AWS API Documentation # # @overload get_adapter_version(params = {}) # @param [Hash] params ({}) def get_adapter_version(params = {}, options = {}) req = build_request(:get_adapter_version, params) req.send_request(options) end # Gets the results for an Amazon Textract asynchronous operation that # analyzes text in a document. # # You start asynchronous text analysis by calling StartDocumentAnalysis, # which returns a job identifier (`JobId`). When the text analysis # operation finishes, Amazon Textract publishes a completion status to # the Amazon Simple Notification Service (Amazon SNS) topic that's # registered in the initial call to `StartDocumentAnalysis`. To get the # results of the text-detection operation, first check that the status # value published to the Amazon SNS topic is `SUCCEEDED`. If so, call # `GetDocumentAnalysis`, and pass the job identifier (`JobId`) from the # initial call to `StartDocumentAnalysis`. # # `GetDocumentAnalysis` returns an array of Block objects. The following # types of information are returned: # # * Form data (key-value pairs). The related information is returned in # two Block objects, each of type `KEY_VALUE_SET`: a KEY `Block` # object and a VALUE `Block` object. For example, *Name: Ana Silva # Carolina* contains a key and value. *Name:* is the key. *Ana Silva # Carolina* is the value. # # * Table and table cell data. A TABLE `Block` object contains # information about a detected table. A CELL `Block` object is # returned for each cell in a table. # # * Lines and words of text. A LINE `Block` object contains one or more # WORD `Block` objects. All lines and words that are detected in the # document are returned (including text that doesn't have a # relationship with the value of the `StartDocumentAnalysis` # `FeatureTypes` input parameter). # # * Query. A QUERY Block object contains the query text, alias and link # to the associated Query results block object. # # * Query Results. A QUERY\_RESULT Block object contains the answer to # the query and an ID that connects it to the query asked. This Block # also contains a confidence score. # # While processing a document with queries, look out for # `INVALID_REQUEST_PARAMETERS` output. This indicates that either the # per page query limit has been exceeded or that the operation is trying # to query a page in the document which doesn’t exist. # # # # Selection elements such as check boxes and option buttons (radio # buttons) can be detected in form data and in tables. A # SELECTION\_ELEMENT `Block` object contains information about a # selection element, including the selection status. # # Use the `MaxResults` parameter to limit the number of blocks that are # returned. If there are more results than specified in `MaxResults`, # the value of `NextToken` in the operation response contains a # pagination token for getting the next set of results. To get the next # page of results, call `GetDocumentAnalysis`, and populate the # `NextToken` request parameter with the token value that's returned # from the previous call to `GetDocumentAnalysis`. # # For more information, see [Document Text Analysis][1]. # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/how-it-works-analyzing.html # # @option params [required, String] :job_id # A unique identifier for the text-detection job. The `JobId` is # returned from `StartDocumentAnalysis`. A `JobId` value is only valid # for 7 days. # # @option params [Integer] :max_results # The maximum number of results to return per paginated call. The # largest value that you can specify is 1,000. If you specify a value # greater than 1,000, a maximum of 1,000 results is returned. The # default value is 1,000. # # @option params [String] :next_token # If the previous response was incomplete (because there are more blocks # to retrieve), Amazon Textract returns a pagination token in the # response. You can use this pagination token to retrieve the next set # of blocks. # # @return [Types::GetDocumentAnalysisResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetDocumentAnalysisResponse#document_metadata #document_metadata} => Types::DocumentMetadata # * {Types::GetDocumentAnalysisResponse#job_status #job_status} => String # * {Types::GetDocumentAnalysisResponse#next_token #next_token} => String # * {Types::GetDocumentAnalysisResponse#blocks #blocks} => Array<Types::Block> # * {Types::GetDocumentAnalysisResponse#warnings #warnings} => Array<Types::Warning> # * {Types::GetDocumentAnalysisResponse#status_message #status_message} => String # * {Types::GetDocumentAnalysisResponse#analyze_document_model_version #analyze_document_model_version} => String # # @example Request syntax with placeholder values # # resp = client.get_document_analysis({ # job_id: "JobId", # required # max_results: 1, # next_token: "PaginationToken", # }) # # @example Response structure # # resp.document_metadata.pages #=> Integer # resp.job_status #=> String, one of "IN_PROGRESS", "SUCCEEDED", "FAILED", "PARTIAL_SUCCESS" # resp.next_token #=> String # resp.blocks #=> Array # resp.blocks[0].block_type #=> String, one of "KEY_VALUE_SET", "PAGE", "LINE", "WORD", "TABLE", "CELL", "SELECTION_ELEMENT", "MERGED_CELL", "TITLE", "QUERY", "QUERY_RESULT", "SIGNATURE", "TABLE_TITLE", "TABLE_FOOTER", "LAYOUT_TEXT", "LAYOUT_TITLE", "LAYOUT_HEADER", "LAYOUT_FOOTER", "LAYOUT_SECTION_HEADER", "LAYOUT_PAGE_NUMBER", "LAYOUT_LIST", "LAYOUT_FIGURE", "LAYOUT_TABLE", "LAYOUT_KEY_VALUE" # resp.blocks[0].confidence #=> Float # resp.blocks[0].text #=> String # resp.blocks[0].text_type #=> String, one of "HANDWRITING", "PRINTED" # resp.blocks[0].row_index #=> Integer # resp.blocks[0].column_index #=> Integer # resp.blocks[0].row_span #=> Integer # resp.blocks[0].column_span #=> Integer # resp.blocks[0].geometry.bounding_box.width #=> Float # resp.blocks[0].geometry.bounding_box.height #=> Float # resp.blocks[0].geometry.bounding_box.left #=> Float # resp.blocks[0].geometry.bounding_box.top #=> Float # resp.blocks[0].geometry.polygon #=> Array # resp.blocks[0].geometry.polygon[0].x #=> Float # resp.blocks[0].geometry.polygon[0].y #=> Float # resp.blocks[0].id #=> String # resp.blocks[0].relationships #=> Array # resp.blocks[0].relationships[0].type #=> String, one of "VALUE", "CHILD", "COMPLEX_FEATURES", "MERGED_CELL", "TITLE", "ANSWER", "TABLE", "TABLE_TITLE", "TABLE_FOOTER" # resp.blocks[0].relationships[0].ids #=> Array # resp.blocks[0].relationships[0].ids[0] #=> String # resp.blocks[0].entity_types #=> Array # resp.blocks[0].entity_types[0] #=> String, one of "KEY", "VALUE", "COLUMN_HEADER", "TABLE_TITLE", "TABLE_FOOTER", "TABLE_SECTION_TITLE", "TABLE_SUMMARY", "STRUCTURED_TABLE", "SEMI_STRUCTURED_TABLE" # resp.blocks[0].selection_status #=> String, one of "SELECTED", "NOT_SELECTED" # resp.blocks[0].page #=> Integer # resp.blocks[0].query.text #=> String # resp.blocks[0].query.alias #=> String # resp.blocks[0].query.pages #=> Array # resp.blocks[0].query.pages[0] #=> String # resp.warnings #=> Array # resp.warnings[0].error_code #=> String # resp.warnings[0].pages #=> Array # resp.warnings[0].pages[0] #=> Integer # resp.status_message #=> String # resp.analyze_document_model_version #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/GetDocumentAnalysis AWS API Documentation # # @overload get_document_analysis(params = {}) # @param [Hash] params ({}) def get_document_analysis(params = {}, options = {}) req = build_request(:get_document_analysis, params) req.send_request(options) end # Gets the results for an Amazon Textract asynchronous operation that # detects text in a document. Amazon Textract can detect lines of text # and the words that make up a line of text. # # You start asynchronous text detection by calling # StartDocumentTextDetection, which returns a job identifier (`JobId`). # When the text detection operation finishes, Amazon Textract publishes # a completion status to the Amazon Simple Notification Service (Amazon # SNS) topic that's registered in the initial call to # `StartDocumentTextDetection`. To get the results of the text-detection # operation, first check that the status value published to the Amazon # SNS topic is `SUCCEEDED`. If so, call `GetDocumentTextDetection`, and # pass the job identifier (`JobId`) from the initial call to # `StartDocumentTextDetection`. # # `GetDocumentTextDetection` returns an array of Block objects. # # Each document page has as an associated `Block` of type PAGE. Each # PAGE `Block` object is the parent of LINE `Block` objects that # represent the lines of detected text on a page. A LINE `Block` object # is a parent for each word that makes up the line. Words are # represented by `Block` objects of type WORD. # # Use the MaxResults parameter to limit the number of blocks that are # returned. If there are more results than specified in `MaxResults`, # the value of `NextToken` in the operation response contains a # pagination token for getting the next set of results. To get the next # page of results, call `GetDocumentTextDetection`, and populate the # `NextToken` request parameter with the token value that's returned # from the previous call to `GetDocumentTextDetection`. # # For more information, see [Document Text Detection][1]. # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html # # @option params [required, String] :job_id # A unique identifier for the text detection job. The `JobId` is # returned from `StartDocumentTextDetection`. A `JobId` value is only # valid for 7 days. # # @option params [Integer] :max_results # The maximum number of results to return per paginated call. The # largest value you can specify is 1,000. If you specify a value greater # than 1,000, a maximum of 1,000 results is returned. The default value # is 1,000. # # @option params [String] :next_token # If the previous response was incomplete (because there are more blocks # to retrieve), Amazon Textract returns a pagination token in the # response. You can use this pagination token to retrieve the next set # of blocks. # # @return [Types::GetDocumentTextDetectionResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetDocumentTextDetectionResponse#document_metadata #document_metadata} => Types::DocumentMetadata # * {Types::GetDocumentTextDetectionResponse#job_status #job_status} => String # * {Types::GetDocumentTextDetectionResponse#next_token #next_token} => String # * {Types::GetDocumentTextDetectionResponse#blocks #blocks} => Array<Types::Block> # * {Types::GetDocumentTextDetectionResponse#warnings #warnings} => Array<Types::Warning> # * {Types::GetDocumentTextDetectionResponse#status_message #status_message} => String # * {Types::GetDocumentTextDetectionResponse#detect_document_text_model_version #detect_document_text_model_version} => String # # @example Request syntax with placeholder values # # resp = client.get_document_text_detection({ # job_id: "JobId", # required # max_results: 1, # next_token: "PaginationToken", # }) # # @example Response structure # # resp.document_metadata.pages #=> Integer # resp.job_status #=> String, one of "IN_PROGRESS", "SUCCEEDED", "FAILED", "PARTIAL_SUCCESS" # resp.next_token #=> String # resp.blocks #=> Array # resp.blocks[0].block_type #=> String, one of "KEY_VALUE_SET", "PAGE", "LINE", "WORD", "TABLE", "CELL", "SELECTION_ELEMENT", "MERGED_CELL", "TITLE", "QUERY", "QUERY_RESULT", "SIGNATURE", "TABLE_TITLE", "TABLE_FOOTER", "LAYOUT_TEXT", "LAYOUT_TITLE", "LAYOUT_HEADER", "LAYOUT_FOOTER", "LAYOUT_SECTION_HEADER", "LAYOUT_PAGE_NUMBER", "LAYOUT_LIST", "LAYOUT_FIGURE", "LAYOUT_TABLE", "LAYOUT_KEY_VALUE" # resp.blocks[0].confidence #=> Float # resp.blocks[0].text #=> String # resp.blocks[0].text_type #=> String, one of "HANDWRITING", "PRINTED" # resp.blocks[0].row_index #=> Integer # resp.blocks[0].column_index #=> Integer # resp.blocks[0].row_span #=> Integer # resp.blocks[0].column_span #=> Integer # resp.blocks[0].geometry.bounding_box.width #=> Float # resp.blocks[0].geometry.bounding_box.height #=> Float # resp.blocks[0].geometry.bounding_box.left #=> Float # resp.blocks[0].geometry.bounding_box.top #=> Float # resp.blocks[0].geometry.polygon #=> Array # resp.blocks[0].geometry.polygon[0].x #=> Float # resp.blocks[0].geometry.polygon[0].y #=> Float # resp.blocks[0].id #=> String # resp.blocks[0].relationships #=> Array # resp.blocks[0].relationships[0].type #=> String, one of "VALUE", "CHILD", "COMPLEX_FEATURES", "MERGED_CELL", "TITLE", "ANSWER", "TABLE", "TABLE_TITLE", "TABLE_FOOTER" # resp.blocks[0].relationships[0].ids #=> Array # resp.blocks[0].relationships[0].ids[0] #=> String # resp.blocks[0].entity_types #=> Array # resp.blocks[0].entity_types[0] #=> String, one of "KEY", "VALUE", "COLUMN_HEADER", "TABLE_TITLE", "TABLE_FOOTER", "TABLE_SECTION_TITLE", "TABLE_SUMMARY", "STRUCTURED_TABLE", "SEMI_STRUCTURED_TABLE" # resp.blocks[0].selection_status #=> String, one of "SELECTED", "NOT_SELECTED" # resp.blocks[0].page #=> Integer # resp.blocks[0].query.text #=> String # resp.blocks[0].query.alias #=> String # resp.blocks[0].query.pages #=> Array # resp.blocks[0].query.pages[0] #=> String # resp.warnings #=> Array # resp.warnings[0].error_code #=> String # resp.warnings[0].pages #=> Array # resp.warnings[0].pages[0] #=> Integer # resp.status_message #=> String # resp.detect_document_text_model_version #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/GetDocumentTextDetection AWS API Documentation # # @overload get_document_text_detection(params = {}) # @param [Hash] params ({}) def get_document_text_detection(params = {}, options = {}) req = build_request(:get_document_text_detection, params) req.send_request(options) end # Gets the results for an Amazon Textract asynchronous operation that # analyzes invoices and receipts. Amazon Textract finds contact # information, items purchased, and vendor name, from input invoices and # receipts. # # You start asynchronous invoice/receipt analysis by calling # StartExpenseAnalysis, which returns a job identifier (`JobId`). Upon # completion of the invoice/receipt analysis, Amazon Textract publishes # the completion status to the Amazon Simple Notification Service # (Amazon SNS) topic. This topic must be registered in the initial call # to `StartExpenseAnalysis`. To get the results of the invoice/receipt # analysis operation, first ensure that the status value published to # the Amazon SNS topic is `SUCCEEDED`. If so, call `GetExpenseAnalysis`, # and pass the job identifier (`JobId`) from the initial call to # `StartExpenseAnalysis`. # # Use the MaxResults parameter to limit the number of blocks that are # returned. If there are more results than specified in `MaxResults`, # the value of `NextToken` in the operation response contains a # pagination token for getting the next set of results. To get the next # page of results, call `GetExpenseAnalysis`, and populate the # `NextToken` request parameter with the token value that's returned # from the previous call to `GetExpenseAnalysis`. # # For more information, see [Analyzing Invoices and Receipts][1]. # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/invoices-receipts.html # # @option params [required, String] :job_id # A unique identifier for the text detection job. The `JobId` is # returned from `StartExpenseAnalysis`. A `JobId` value is only valid # for 7 days. # # @option params [Integer] :max_results # The maximum number of results to return per paginated call. The # largest value you can specify is 20. If you specify a value greater # than 20, a maximum of 20 results is returned. The default value is 20. # # @option params [String] :next_token # If the previous response was incomplete (because there are more blocks # to retrieve), Amazon Textract returns a pagination token in the # response. You can use this pagination token to retrieve the next set # of blocks. # # @return [Types::GetExpenseAnalysisResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetExpenseAnalysisResponse#document_metadata #document_metadata} => Types::DocumentMetadata # * {Types::GetExpenseAnalysisResponse#job_status #job_status} => String # * {Types::GetExpenseAnalysisResponse#next_token #next_token} => String # * {Types::GetExpenseAnalysisResponse#expense_documents #expense_documents} => Array<Types::ExpenseDocument> # * {Types::GetExpenseAnalysisResponse#warnings #warnings} => Array<Types::Warning> # * {Types::GetExpenseAnalysisResponse#status_message #status_message} => String # * {Types::GetExpenseAnalysisResponse#analyze_expense_model_version #analyze_expense_model_version} => String # # @example Request syntax with placeholder values # # resp = client.get_expense_analysis({ # job_id: "JobId", # required # max_results: 1, # next_token: "PaginationToken", # }) # # @example Response structure # # resp.document_metadata.pages #=> Integer # resp.job_status #=> String, one of "IN_PROGRESS", "SUCCEEDED", "FAILED", "PARTIAL_SUCCESS" # resp.next_token #=> String # resp.expense_documents #=> Array # resp.expense_documents[0].expense_index #=> Integer # resp.expense_documents[0].summary_fields #=> Array # resp.expense_documents[0].summary_fields[0].type.text #=> String # resp.expense_documents[0].summary_fields[0].type.confidence #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.text #=> String # resp.expense_documents[0].summary_fields[0].label_detection.geometry.bounding_box.width #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.geometry.bounding_box.height #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.geometry.bounding_box.left #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.geometry.bounding_box.top #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.geometry.polygon #=> Array # resp.expense_documents[0].summary_fields[0].label_detection.geometry.polygon[0].x #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.geometry.polygon[0].y #=> Float # resp.expense_documents[0].summary_fields[0].label_detection.confidence #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.text #=> String # resp.expense_documents[0].summary_fields[0].value_detection.geometry.bounding_box.width #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.geometry.bounding_box.height #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.geometry.bounding_box.left #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.geometry.bounding_box.top #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.geometry.polygon #=> Array # resp.expense_documents[0].summary_fields[0].value_detection.geometry.polygon[0].x #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.geometry.polygon[0].y #=> Float # resp.expense_documents[0].summary_fields[0].value_detection.confidence #=> Float # resp.expense_documents[0].summary_fields[0].page_number #=> Integer # resp.expense_documents[0].summary_fields[0].currency.code #=> String # resp.expense_documents[0].summary_fields[0].currency.confidence #=> Float # resp.expense_documents[0].summary_fields[0].group_properties #=> Array # resp.expense_documents[0].summary_fields[0].group_properties[0].types #=> Array # resp.expense_documents[0].summary_fields[0].group_properties[0].types[0] #=> String # resp.expense_documents[0].summary_fields[0].group_properties[0].id #=> String # resp.expense_documents[0].line_item_groups #=> Array # resp.expense_documents[0].line_item_groups[0].line_item_group_index #=> Integer # resp.expense_documents[0].line_item_groups[0].line_items #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].type.text #=> String # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].type.confidence #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.text #=> String # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.width #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.height #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.left #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.top #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.polygon #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.polygon[0].x #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.polygon[0].y #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.confidence #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.text #=> String # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.width #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.height #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.left #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.top #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.polygon #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.polygon[0].x #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.polygon[0].y #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.confidence #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].page_number #=> Integer # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].currency.code #=> String # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].currency.confidence #=> Float # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties[0].types #=> Array # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties[0].types[0] #=> String # resp.expense_documents[0].line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties[0].id #=> String # resp.expense_documents[0].blocks #=> Array # resp.expense_documents[0].blocks[0].block_type #=> String, one of "KEY_VALUE_SET", "PAGE", "LINE", "WORD", "TABLE", "CELL", "SELECTION_ELEMENT", "MERGED_CELL", "TITLE", "QUERY", "QUERY_RESULT", "SIGNATURE", "TABLE_TITLE", "TABLE_FOOTER", "LAYOUT_TEXT", "LAYOUT_TITLE", "LAYOUT_HEADER", "LAYOUT_FOOTER", "LAYOUT_SECTION_HEADER", "LAYOUT_PAGE_NUMBER", "LAYOUT_LIST", "LAYOUT_FIGURE", "LAYOUT_TABLE", "LAYOUT_KEY_VALUE" # resp.expense_documents[0].blocks[0].confidence #=> Float # resp.expense_documents[0].blocks[0].text #=> String # resp.expense_documents[0].blocks[0].text_type #=> String, one of "HANDWRITING", "PRINTED" # resp.expense_documents[0].blocks[0].row_index #=> Integer # resp.expense_documents[0].blocks[0].column_index #=> Integer # resp.expense_documents[0].blocks[0].row_span #=> Integer # resp.expense_documents[0].blocks[0].column_span #=> Integer # resp.expense_documents[0].blocks[0].geometry.bounding_box.width #=> Float # resp.expense_documents[0].blocks[0].geometry.bounding_box.height #=> Float # resp.expense_documents[0].blocks[0].geometry.bounding_box.left #=> Float # resp.expense_documents[0].blocks[0].geometry.bounding_box.top #=> Float # resp.expense_documents[0].blocks[0].geometry.polygon #=> Array # resp.expense_documents[0].blocks[0].geometry.polygon[0].x #=> Float # resp.expense_documents[0].blocks[0].geometry.polygon[0].y #=> Float # resp.expense_documents[0].blocks[0].id #=> String # resp.expense_documents[0].blocks[0].relationships #=> Array # resp.expense_documents[0].blocks[0].relationships[0].type #=> String, one of "VALUE", "CHILD", "COMPLEX_FEATURES", "MERGED_CELL", "TITLE", "ANSWER", "TABLE", "TABLE_TITLE", "TABLE_FOOTER" # resp.expense_documents[0].blocks[0].relationships[0].ids #=> Array # resp.expense_documents[0].blocks[0].relationships[0].ids[0] #=> String # resp.expense_documents[0].blocks[0].entity_types #=> Array # resp.expense_documents[0].blocks[0].entity_types[0] #=> String, one of "KEY", "VALUE", "COLUMN_HEADER", "TABLE_TITLE", "TABLE_FOOTER", "TABLE_SECTION_TITLE", "TABLE_SUMMARY", "STRUCTURED_TABLE", "SEMI_STRUCTURED_TABLE" # resp.expense_documents[0].blocks[0].selection_status #=> String, one of "SELECTED", "NOT_SELECTED" # resp.expense_documents[0].blocks[0].page #=> Integer # resp.expense_documents[0].blocks[0].query.text #=> String # resp.expense_documents[0].blocks[0].query.alias #=> String # resp.expense_documents[0].blocks[0].query.pages #=> Array # resp.expense_documents[0].blocks[0].query.pages[0] #=> String # resp.warnings #=> Array # resp.warnings[0].error_code #=> String # resp.warnings[0].pages #=> Array # resp.warnings[0].pages[0] #=> Integer # resp.status_message #=> String # resp.analyze_expense_model_version #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/GetExpenseAnalysis AWS API Documentation # # @overload get_expense_analysis(params = {}) # @param [Hash] params ({}) def get_expense_analysis(params = {}, options = {}) req = build_request(:get_expense_analysis, params) req.send_request(options) end # Gets the results for an Amazon Textract asynchronous operation that # analyzes text in a lending document. # # You start asynchronous text analysis by calling # `StartLendingAnalysis`, which returns a job identifier (`JobId`). When # the text analysis operation finishes, Amazon Textract publishes a # completion status to the Amazon Simple Notification Service (Amazon # SNS) topic that's registered in the initial call to # `StartLendingAnalysis`. # # To get the results of the text analysis operation, first check that # the status value published to the Amazon SNS topic is SUCCEEDED. If # so, call GetLendingAnalysis, and pass the job identifier (`JobId`) # from the initial call to `StartLendingAnalysis`. # # @option params [required, String] :job_id # A unique identifier for the lending or text-detection job. The `JobId` # is returned from `StartLendingAnalysis`. A `JobId` value is only valid # for 7 days. # # @option params [Integer] :max_results # The maximum number of results to return per paginated call. The # largest value that you can specify is 30. If you specify a value # greater than 30, a maximum of 30 results is returned. The default # value is 30. # # @option params [String] :next_token # If the previous response was incomplete, Amazon Textract returns a # pagination token in the response. You can use this pagination token to # retrieve the next set of lending results. # # @return [Types::GetLendingAnalysisResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetLendingAnalysisResponse#document_metadata #document_metadata} => Types::DocumentMetadata # * {Types::GetLendingAnalysisResponse#job_status #job_status} => String # * {Types::GetLendingAnalysisResponse#next_token #next_token} => String # * {Types::GetLendingAnalysisResponse#results #results} => Array<Types::LendingResult> # * {Types::GetLendingAnalysisResponse#warnings #warnings} => Array<Types::Warning> # * {Types::GetLendingAnalysisResponse#status_message #status_message} => String # * {Types::GetLendingAnalysisResponse#analyze_lending_model_version #analyze_lending_model_version} => String # # @example Request syntax with placeholder values # # resp = client.get_lending_analysis({ # job_id: "JobId", # required # max_results: 1, # next_token: "PaginationToken", # }) # # @example Response structure # # resp.document_metadata.pages #=> Integer # resp.job_status #=> String, one of "IN_PROGRESS", "SUCCEEDED", "FAILED", "PARTIAL_SUCCESS" # resp.next_token #=> String # resp.results #=> Array # resp.results[0].page #=> Integer # resp.results[0].page_classification.page_type #=> Array # resp.results[0].page_classification.page_type[0].value #=> String # resp.results[0].page_classification.page_type[0].confidence #=> Float # resp.results[0].page_classification.page_number #=> Array # resp.results[0].page_classification.page_number[0].value #=> String # resp.results[0].page_classification.page_number[0].confidence #=> Float # resp.results[0].extractions #=> Array # resp.results[0].extractions[0].lending_document.lending_fields #=> Array # resp.results[0].extractions[0].lending_document.lending_fields[0].type #=> String # resp.results[0].extractions[0].lending_document.lending_fields[0].key_detection.text #=> String # resp.results[0].extractions[0].lending_document.lending_fields[0].key_detection.selection_status #=> String, one of "SELECTED", "NOT_SELECTED" # resp.results[0].extractions[0].lending_document.lending_fields[0].key_detection.geometry.bounding_box.width #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].key_detection.geometry.bounding_box.height #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].key_detection.geometry.bounding_box.left #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].key_detection.geometry.bounding_box.top #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].key_detection.geometry.polygon #=> Array # resp.results[0].extractions[0].lending_document.lending_fields[0].key_detection.geometry.polygon[0].x #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].key_detection.geometry.polygon[0].y #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].key_detection.confidence #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].value_detections #=> Array # resp.results[0].extractions[0].lending_document.lending_fields[0].value_detections[0].text #=> String # resp.results[0].extractions[0].lending_document.lending_fields[0].value_detections[0].selection_status #=> String, one of "SELECTED", "NOT_SELECTED" # resp.results[0].extractions[0].lending_document.lending_fields[0].value_detections[0].geometry.bounding_box.width #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].value_detections[0].geometry.bounding_box.height #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].value_detections[0].geometry.bounding_box.left #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].value_detections[0].geometry.bounding_box.top #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].value_detections[0].geometry.polygon #=> Array # resp.results[0].extractions[0].lending_document.lending_fields[0].value_detections[0].geometry.polygon[0].x #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].value_detections[0].geometry.polygon[0].y #=> Float # resp.results[0].extractions[0].lending_document.lending_fields[0].value_detections[0].confidence #=> Float # resp.results[0].extractions[0].lending_document.signature_detections #=> Array # resp.results[0].extractions[0].lending_document.signature_detections[0].confidence #=> Float # resp.results[0].extractions[0].lending_document.signature_detections[0].geometry.bounding_box.width #=> Float # resp.results[0].extractions[0].lending_document.signature_detections[0].geometry.bounding_box.height #=> Float # resp.results[0].extractions[0].lending_document.signature_detections[0].geometry.bounding_box.left #=> Float # resp.results[0].extractions[0].lending_document.signature_detections[0].geometry.bounding_box.top #=> Float # resp.results[0].extractions[0].lending_document.signature_detections[0].geometry.polygon #=> Array # resp.results[0].extractions[0].lending_document.signature_detections[0].geometry.polygon[0].x #=> Float # resp.results[0].extractions[0].lending_document.signature_detections[0].geometry.polygon[0].y #=> Float # resp.results[0].extractions[0].expense_document.expense_index #=> Integer # resp.results[0].extractions[0].expense_document.summary_fields #=> Array # resp.results[0].extractions[0].expense_document.summary_fields[0].type.text #=> String # resp.results[0].extractions[0].expense_document.summary_fields[0].type.confidence #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].label_detection.text #=> String # resp.results[0].extractions[0].expense_document.summary_fields[0].label_detection.geometry.bounding_box.width #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].label_detection.geometry.bounding_box.height #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].label_detection.geometry.bounding_box.left #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].label_detection.geometry.bounding_box.top #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].label_detection.geometry.polygon #=> Array # resp.results[0].extractions[0].expense_document.summary_fields[0].label_detection.geometry.polygon[0].x #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].label_detection.geometry.polygon[0].y #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].label_detection.confidence #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].value_detection.text #=> String # resp.results[0].extractions[0].expense_document.summary_fields[0].value_detection.geometry.bounding_box.width #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].value_detection.geometry.bounding_box.height #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].value_detection.geometry.bounding_box.left #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].value_detection.geometry.bounding_box.top #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].value_detection.geometry.polygon #=> Array # resp.results[0].extractions[0].expense_document.summary_fields[0].value_detection.geometry.polygon[0].x #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].value_detection.geometry.polygon[0].y #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].value_detection.confidence #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].page_number #=> Integer # resp.results[0].extractions[0].expense_document.summary_fields[0].currency.code #=> String # resp.results[0].extractions[0].expense_document.summary_fields[0].currency.confidence #=> Float # resp.results[0].extractions[0].expense_document.summary_fields[0].group_properties #=> Array # resp.results[0].extractions[0].expense_document.summary_fields[0].group_properties[0].types #=> Array # resp.results[0].extractions[0].expense_document.summary_fields[0].group_properties[0].types[0] #=> String # resp.results[0].extractions[0].expense_document.summary_fields[0].group_properties[0].id #=> String # resp.results[0].extractions[0].expense_document.line_item_groups #=> Array # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_item_group_index #=> Integer # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items #=> Array # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields #=> Array # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].type.text #=> String # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].type.confidence #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.text #=> String # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.width #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.height #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.left #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.bounding_box.top #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.polygon #=> Array # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.polygon[0].x #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.geometry.polygon[0].y #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].label_detection.confidence #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.text #=> String # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.width #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.height #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.left #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.bounding_box.top #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.polygon #=> Array # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.polygon[0].x #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.geometry.polygon[0].y #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].value_detection.confidence #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].page_number #=> Integer # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].currency.code #=> String # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].currency.confidence #=> Float # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties #=> Array # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties[0].types #=> Array # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties[0].types[0] #=> String # resp.results[0].extractions[0].expense_document.line_item_groups[0].line_items[0].line_item_expense_fields[0].group_properties[0].id #=> String # resp.results[0].extractions[0].expense_document.blocks #=> Array # resp.results[0].extractions[0].expense_document.blocks[0].block_type #=> String, one of "KEY_VALUE_SET", "PAGE", "LINE", "WORD", "TABLE", "CELL", "SELECTION_ELEMENT", "MERGED_CELL", "TITLE", "QUERY", "QUERY_RESULT", "SIGNATURE", "TABLE_TITLE", "TABLE_FOOTER", "LAYOUT_TEXT", "LAYOUT_TITLE", "LAYOUT_HEADER", "LAYOUT_FOOTER", "LAYOUT_SECTION_HEADER", "LAYOUT_PAGE_NUMBER", "LAYOUT_LIST", "LAYOUT_FIGURE", "LAYOUT_TABLE", "LAYOUT_KEY_VALUE" # resp.results[0].extractions[0].expense_document.blocks[0].confidence #=> Float # resp.results[0].extractions[0].expense_document.blocks[0].text #=> String # resp.results[0].extractions[0].expense_document.blocks[0].text_type #=> String, one of "HANDWRITING", "PRINTED" # resp.results[0].extractions[0].expense_document.blocks[0].row_index #=> Integer # resp.results[0].extractions[0].expense_document.blocks[0].column_index #=> Integer # resp.results[0].extractions[0].expense_document.blocks[0].row_span #=> Integer # resp.results[0].extractions[0].expense_document.blocks[0].column_span #=> Integer # resp.results[0].extractions[0].expense_document.blocks[0].geometry.bounding_box.width #=> Float # resp.results[0].extractions[0].expense_document.blocks[0].geometry.bounding_box.height #=> Float # resp.results[0].extractions[0].expense_document.blocks[0].geometry.bounding_box.left #=> Float # resp.results[0].extractions[0].expense_document.blocks[0].geometry.bounding_box.top #=> Float # resp.results[0].extractions[0].expense_document.blocks[0].geometry.polygon #=> Array # resp.results[0].extractions[0].expense_document.blocks[0].geometry.polygon[0].x #=> Float # resp.results[0].extractions[0].expense_document.blocks[0].geometry.polygon[0].y #=> Float # resp.results[0].extractions[0].expense_document.blocks[0].id #=> String # resp.results[0].extractions[0].expense_document.blocks[0].relationships #=> Array # resp.results[0].extractions[0].expense_document.blocks[0].relationships[0].type #=> String, one of "VALUE", "CHILD", "COMPLEX_FEATURES", "MERGED_CELL", "TITLE", "ANSWER", "TABLE", "TABLE_TITLE", "TABLE_FOOTER" # resp.results[0].extractions[0].expense_document.blocks[0].relationships[0].ids #=> Array # resp.results[0].extractions[0].expense_document.blocks[0].relationships[0].ids[0] #=> String # resp.results[0].extractions[0].expense_document.blocks[0].entity_types #=> Array # resp.results[0].extractions[0].expense_document.blocks[0].entity_types[0] #=> String, one of "KEY", "VALUE", "COLUMN_HEADER", "TABLE_TITLE", "TABLE_FOOTER", "TABLE_SECTION_TITLE", "TABLE_SUMMARY", "STRUCTURED_TABLE", "SEMI_STRUCTURED_TABLE" # resp.results[0].extractions[0].expense_document.blocks[0].selection_status #=> String, one of "SELECTED", "NOT_SELECTED" # resp.results[0].extractions[0].expense_document.blocks[0].page #=> Integer # resp.results[0].extractions[0].expense_document.blocks[0].query.text #=> String # resp.results[0].extractions[0].expense_document.blocks[0].query.alias #=> String # resp.results[0].extractions[0].expense_document.blocks[0].query.pages #=> Array # resp.results[0].extractions[0].expense_document.blocks[0].query.pages[0] #=> String # resp.results[0].extractions[0].identity_document.document_index #=> Integer # resp.results[0].extractions[0].identity_document.identity_document_fields #=> Array # resp.results[0].extractions[0].identity_document.identity_document_fields[0].type.text #=> String # resp.results[0].extractions[0].identity_document.identity_document_fields[0].type.normalized_value.value #=> String # resp.results[0].extractions[0].identity_document.identity_document_fields[0].type.normalized_value.value_type #=> String, one of "DATE" # resp.results[0].extractions[0].identity_document.identity_document_fields[0].type.confidence #=> Float # resp.results[0].extractions[0].identity_document.identity_document_fields[0].value_detection.text #=> String # resp.results[0].extractions[0].identity_document.identity_document_fields[0].value_detection.normalized_value.value #=> String # resp.results[0].extractions[0].identity_document.identity_document_fields[0].value_detection.normalized_value.value_type #=> String, one of "DATE" # resp.results[0].extractions[0].identity_document.identity_document_fields[0].value_detection.confidence #=> Float # resp.results[0].extractions[0].identity_document.blocks #=> Array # resp.results[0].extractions[0].identity_document.blocks[0].block_type #=> String, one of "KEY_VALUE_SET", "PAGE", "LINE", "WORD", "TABLE", "CELL", "SELECTION_ELEMENT", "MERGED_CELL", "TITLE", "QUERY", "QUERY_RESULT", "SIGNATURE", "TABLE_TITLE", "TABLE_FOOTER", "LAYOUT_TEXT", "LAYOUT_TITLE", "LAYOUT_HEADER", "LAYOUT_FOOTER", "LAYOUT_SECTION_HEADER", "LAYOUT_PAGE_NUMBER", "LAYOUT_LIST", "LAYOUT_FIGURE", "LAYOUT_TABLE", "LAYOUT_KEY_VALUE" # resp.results[0].extractions[0].identity_document.blocks[0].confidence #=> Float # resp.results[0].extractions[0].identity_document.blocks[0].text #=> String # resp.results[0].extractions[0].identity_document.blocks[0].text_type #=> String, one of "HANDWRITING", "PRINTED" # resp.results[0].extractions[0].identity_document.blocks[0].row_index #=> Integer # resp.results[0].extractions[0].identity_document.blocks[0].column_index #=> Integer # resp.results[0].extractions[0].identity_document.blocks[0].row_span #=> Integer # resp.results[0].extractions[0].identity_document.blocks[0].column_span #=> Integer # resp.results[0].extractions[0].identity_document.blocks[0].geometry.bounding_box.width #=> Float # resp.results[0].extractions[0].identity_document.blocks[0].geometry.bounding_box.height #=> Float # resp.results[0].extractions[0].identity_document.blocks[0].geometry.bounding_box.left #=> Float # resp.results[0].extractions[0].identity_document.blocks[0].geometry.bounding_box.top #=> Float # resp.results[0].extractions[0].identity_document.blocks[0].geometry.polygon #=> Array # resp.results[0].extractions[0].identity_document.blocks[0].geometry.polygon[0].x #=> Float # resp.results[0].extractions[0].identity_document.blocks[0].geometry.polygon[0].y #=> Float # resp.results[0].extractions[0].identity_document.blocks[0].id #=> String # resp.results[0].extractions[0].identity_document.blocks[0].relationships #=> Array # resp.results[0].extractions[0].identity_document.blocks[0].relationships[0].type #=> String, one of "VALUE", "CHILD", "COMPLEX_FEATURES", "MERGED_CELL", "TITLE", "ANSWER", "TABLE", "TABLE_TITLE", "TABLE_FOOTER" # resp.results[0].extractions[0].identity_document.blocks[0].relationships[0].ids #=> Array # resp.results[0].extractions[0].identity_document.blocks[0].relationships[0].ids[0] #=> String # resp.results[0].extractions[0].identity_document.blocks[0].entity_types #=> Array # resp.results[0].extractions[0].identity_document.blocks[0].entity_types[0] #=> String, one of "KEY", "VALUE", "COLUMN_HEADER", "TABLE_TITLE", "TABLE_FOOTER", "TABLE_SECTION_TITLE", "TABLE_SUMMARY", "STRUCTURED_TABLE", "SEMI_STRUCTURED_TABLE" # resp.results[0].extractions[0].identity_document.blocks[0].selection_status #=> String, one of "SELECTED", "NOT_SELECTED" # resp.results[0].extractions[0].identity_document.blocks[0].page #=> Integer # resp.results[0].extractions[0].identity_document.blocks[0].query.text #=> String # resp.results[0].extractions[0].identity_document.blocks[0].query.alias #=> String # resp.results[0].extractions[0].identity_document.blocks[0].query.pages #=> Array # resp.results[0].extractions[0].identity_document.blocks[0].query.pages[0] #=> String # resp.warnings #=> Array # resp.warnings[0].error_code #=> String # resp.warnings[0].pages #=> Array # resp.warnings[0].pages[0] #=> Integer # resp.status_message #=> String # resp.analyze_lending_model_version #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/GetLendingAnalysis AWS API Documentation # # @overload get_lending_analysis(params = {}) # @param [Hash] params ({}) def get_lending_analysis(params = {}, options = {}) req = build_request(:get_lending_analysis, params) req.send_request(options) end # Gets summarized results for the `StartLendingAnalysis` operation, # which analyzes text in a lending document. The returned summary # consists of information about documents grouped together by a common # document type. Information like detected signatures, page numbers, and # split documents is returned with respect to the type of grouped # document. # # You start asynchronous text analysis by calling # `StartLendingAnalysis`, which returns a job identifier (`JobId`). When # the text analysis operation finishes, Amazon Textract publishes a # completion status to the Amazon Simple Notification Service (Amazon # SNS) topic that's registered in the initial call to # `StartLendingAnalysis`. # # To get the results of the text analysis operation, first check that # the status value published to the Amazon SNS topic is SUCCEEDED. If # so, call `GetLendingAnalysisSummary`, and pass the job identifier # (`JobId`) from the initial call to `StartLendingAnalysis`. # # @option params [required, String] :job_id # A unique identifier for the lending or text-detection job. The `JobId` # is returned from StartLendingAnalysis. A `JobId` value is only valid # for 7 days. # # @return [Types::GetLendingAnalysisSummaryResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetLendingAnalysisSummaryResponse#document_metadata #document_metadata} => Types::DocumentMetadata # * {Types::GetLendingAnalysisSummaryResponse#job_status #job_status} => String # * {Types::GetLendingAnalysisSummaryResponse#summary #summary} => Types::LendingSummary # * {Types::GetLendingAnalysisSummaryResponse#warnings #warnings} => Array<Types::Warning> # * {Types::GetLendingAnalysisSummaryResponse#status_message #status_message} => String # * {Types::GetLendingAnalysisSummaryResponse#analyze_lending_model_version #analyze_lending_model_version} => String # # @example Request syntax with placeholder values # # resp = client.get_lending_analysis_summary({ # job_id: "JobId", # required # }) # # @example Response structure # # resp.document_metadata.pages #=> Integer # resp.job_status #=> String, one of "IN_PROGRESS", "SUCCEEDED", "FAILED", "PARTIAL_SUCCESS" # resp.summary.document_groups #=> Array # resp.summary.document_groups[0].type #=> String # resp.summary.document_groups[0].split_documents #=> Array # resp.summary.document_groups[0].split_documents[0].index #=> Integer # resp.summary.document_groups[0].split_documents[0].pages #=> Array # resp.summary.document_groups[0].split_documents[0].pages[0] #=> Integer # resp.summary.document_groups[0].detected_signatures #=> Array # resp.summary.document_groups[0].detected_signatures[0].page #=> Integer # resp.summary.document_groups[0].undetected_signatures #=> Array # resp.summary.document_groups[0].undetected_signatures[0].page #=> Integer # resp.summary.undetected_document_types #=> Array # resp.summary.undetected_document_types[0] #=> String # resp.warnings #=> Array # resp.warnings[0].error_code #=> String # resp.warnings[0].pages #=> Array # resp.warnings[0].pages[0] #=> Integer # resp.status_message #=> String # resp.analyze_lending_model_version #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/GetLendingAnalysisSummary AWS API Documentation # # @overload get_lending_analysis_summary(params = {}) # @param [Hash] params ({}) def get_lending_analysis_summary(params = {}, options = {}) req = build_request(:get_lending_analysis_summary, params) req.send_request(options) end # List all version of an adapter that meet the specified filtration # criteria. # # @option params [String] :adapter_id # A string containing a unique ID for the adapter to match for when # listing adapter versions. # # @option params [Time,DateTime,Date,Integer,String] :after_creation_time # Specifies the lower bound for the ListAdapterVersions operation. # Ensures ListAdapterVersions returns only adapter versions created # after the specified creation time. # # @option params [Time,DateTime,Date,Integer,String] :before_creation_time # Specifies the upper bound for the ListAdapterVersions operation. # Ensures ListAdapterVersions returns only adapter versions created # after the specified creation time. # # @option params [Integer] :max_results # The maximum number of results to return when listing adapter versions. # # @option params [String] :next_token # Identifies the next page of results to return when listing adapter # versions. # # @return [Types::ListAdapterVersionsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::ListAdapterVersionsResponse#adapter_versions #adapter_versions} => Array<Types::AdapterVersionOverview> # * {Types::ListAdapterVersionsResponse#next_token #next_token} => String # # The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}. # # @example Request syntax with placeholder values # # resp = client.list_adapter_versions({ # adapter_id: "AdapterId", # after_creation_time: Time.now, # before_creation_time: Time.now, # max_results: 1, # next_token: "PaginationToken", # }) # # @example Response structure # # resp.adapter_versions #=> Array # resp.adapter_versions[0].adapter_id #=> String # resp.adapter_versions[0].adapter_version #=> String # resp.adapter_versions[0].creation_time #=> Time # resp.adapter_versions[0].feature_types #=> Array # resp.adapter_versions[0].feature_types[0] #=> String, one of "TABLES", "FORMS", "QUERIES", "SIGNATURES", "LAYOUT" # resp.adapter_versions[0].status #=> String, one of "ACTIVE", "AT_RISK", "DEPRECATED", "CREATION_ERROR", "CREATION_IN_PROGRESS" # resp.adapter_versions[0].status_message #=> String # resp.next_token #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/ListAdapterVersions AWS API Documentation # # @overload list_adapter_versions(params = {}) # @param [Hash] params ({}) def list_adapter_versions(params = {}, options = {}) req = build_request(:list_adapter_versions, params) req.send_request(options) end # Lists all adapters that match the specified filtration criteria. # # @option params [Time,DateTime,Date,Integer,String] :after_creation_time # Specifies the lower bound for the ListAdapters operation. Ensures # ListAdapters returns only adapters created after the specified # creation time. # # @option params [Time,DateTime,Date,Integer,String] :before_creation_time # Specifies the upper bound for the ListAdapters operation. Ensures # ListAdapters returns only adapters created before the specified # creation time. # # @option params [Integer] :max_results # The maximum number of results to return when listing adapters. # # @option params [String] :next_token # Identifies the next page of results to return when listing adapters. # # @return [Types::ListAdaptersResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::ListAdaptersResponse#adapters #adapters} => Array<Types::AdapterOverview> # * {Types::ListAdaptersResponse#next_token #next_token} => String # # The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}. # # @example Request syntax with placeholder values # # resp = client.list_adapters({ # after_creation_time: Time.now, # before_creation_time: Time.now, # max_results: 1, # next_token: "PaginationToken", # }) # # @example Response structure # # resp.adapters #=> Array # resp.adapters[0].adapter_id #=> String # resp.adapters[0].adapter_name #=> String # resp.adapters[0].creation_time #=> Time # resp.adapters[0].feature_types #=> Array # resp.adapters[0].feature_types[0] #=> String, one of "TABLES", "FORMS", "QUERIES", "SIGNATURES", "LAYOUT" # resp.next_token #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/ListAdapters AWS API Documentation # # @overload list_adapters(params = {}) # @param [Hash] params ({}) def list_adapters(params = {}, options = {}) req = build_request(:list_adapters, params) req.send_request(options) end # Lists all tags for an Amazon Textract resource. # # @option params [required, String] :resource_arn # The Amazon Resource Name (ARN) that specifies the resource to list # tags for. # # @return [Types::ListTagsForResourceResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::ListTagsForResourceResponse#tags #tags} => Hash<String,String> # # @example Request syntax with placeholder values # # resp = client.list_tags_for_resource({ # resource_arn: "AmazonResourceName", # required # }) # # @example Response structure # # resp.tags #=> Hash # resp.tags["TagKey"] #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/ListTagsForResource AWS API Documentation # # @overload list_tags_for_resource(params = {}) # @param [Hash] params ({}) def list_tags_for_resource(params = {}, options = {}) req = build_request(:list_tags_for_resource, params) req.send_request(options) end # Starts the asynchronous analysis of an input document for # relationships between detected items such as key-value pairs, tables, # and selection elements. # # `StartDocumentAnalysis` can analyze text in documents that are in # JPEG, PNG, TIFF, and PDF format. The documents are stored in an Amazon # S3 bucket. Use DocumentLocation to specify the bucket name and file # name of the document. # # `StartDocumentAnalysis` returns a job identifier (`JobId`) that you # use to get the results of the operation. When text analysis is # finished, Amazon Textract publishes a completion status to the Amazon # Simple Notification Service (Amazon SNS) topic that you specify in # `NotificationChannel`. To get the results of the text analysis # operation, first check that the status value published to the Amazon # SNS topic is `SUCCEEDED`. If so, call GetDocumentAnalysis, and pass # the job identifier (`JobId`) from the initial call to # `StartDocumentAnalysis`. # # For more information, see [Document Text Analysis][1]. # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/how-it-works-analyzing.html # # @option params [required, Types::DocumentLocation] :document_location # The location of the document to be processed. # # @option params [required, Array] :feature_types # A list of the types of analysis to perform. Add TABLES to the list to # return information about the tables that are detected in the input # document. Add FORMS to return detected form data. To perform both # types of analysis, add TABLES and FORMS to `FeatureTypes`. All lines # and words detected in the document are included in the response # (including text that isn't related to the value of `FeatureTypes`). # # @option params [String] :client_request_token # The idempotent token that you use to identify the start request. If # you use the same token with multiple `StartDocumentAnalysis` requests, # the same `JobId` is returned. Use `ClientRequestToken` to prevent the # same job from being accidentally started more than once. For more # information, see [Calling Amazon Textract Asynchronous Operations][1]. # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/api-async.html # # @option params [String] :job_tag # An identifier that you specify that's included in the completion # notification published to the Amazon SNS topic. For example, you can # use `JobTag` to identify the type of document that the completion # notification corresponds to (such as a tax form or a receipt). # # @option params [Types::NotificationChannel] :notification_channel # The Amazon SNS topic ARN that you want Amazon Textract to publish the # completion status of the operation to. # # @option params [Types::OutputConfig] :output_config # Sets if the output will go to a customer defined bucket. By default, # Amazon Textract will save the results internally to be accessed by the # GetDocumentAnalysis operation. # # @option params [String] :kms_key_id # The KMS key used to encrypt the inference results. This can be in # either Key ID or Key Alias format. When a KMS key is provided, the KMS # key will be used for server-side encryption of the objects in the # customer bucket. When this parameter is not enabled, the result will # be encrypted server side,using SSE-S3. # # @option params [Types::QueriesConfig] :queries_config # # @option params [Types::AdaptersConfig] :adapters_config # Specifies the adapter to be used when analyzing a document. # # @return [Types::StartDocumentAnalysisResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::StartDocumentAnalysisResponse#job_id #job_id} => String # # @example Request syntax with placeholder values # # resp = client.start_document_analysis({ # document_location: { # required # s3_object: { # bucket: "S3Bucket", # name: "S3ObjectName", # version: "S3ObjectVersion", # }, # }, # feature_types: ["TABLES"], # required, accepts TABLES, FORMS, QUERIES, SIGNATURES, LAYOUT # client_request_token: "ClientRequestToken", # job_tag: "JobTag", # notification_channel: { # sns_topic_arn: "SNSTopicArn", # required # role_arn: "RoleArn", # required # }, # output_config: { # s3_bucket: "S3Bucket", # required # s3_prefix: "S3ObjectName", # }, # kms_key_id: "KMSKeyId", # queries_config: { # queries: [ # required # { # text: "QueryInput", # required # alias: "QueryInput", # pages: ["QueryPage"], # }, # ], # }, # adapters_config: { # adapters: [ # required # { # adapter_id: "AdapterId", # required # pages: ["AdapterPage"], # version: "AdapterVersion", # required # }, # ], # }, # }) # # @example Response structure # # resp.job_id #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/StartDocumentAnalysis AWS API Documentation # # @overload start_document_analysis(params = {}) # @param [Hash] params ({}) def start_document_analysis(params = {}, options = {}) req = build_request(:start_document_analysis, params) req.send_request(options) end # Starts the asynchronous detection of text in a document. Amazon # Textract can detect lines of text and the words that make up a line of # text. # # `StartDocumentTextDetection` can analyze text in documents that are in # JPEG, PNG, TIFF, and PDF format. The documents are stored in an Amazon # S3 bucket. Use DocumentLocation to specify the bucket name and file # name of the document. # # `StartTextDetection` returns a job identifier (`JobId`) that you use # to get the results of the operation. When text detection is finished, # Amazon Textract publishes a completion status to the Amazon Simple # Notification Service (Amazon SNS) topic that you specify in # `NotificationChannel`. To get the results of the text detection # operation, first check that the status value published to the Amazon # SNS topic is `SUCCEEDED`. If so, call GetDocumentTextDetection, and # pass the job identifier (`JobId`) from the initial call to # `StartDocumentTextDetection`. # # For more information, see [Document Text Detection][1]. # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/how-it-works-detecting.html # # @option params [required, Types::DocumentLocation] :document_location # The location of the document to be processed. # # @option params [String] :client_request_token # The idempotent token that's used to identify the start request. If # you use the same token with multiple `StartDocumentTextDetection` # requests, the same `JobId` is returned. Use `ClientRequestToken` to # prevent the same job from being accidentally started more than once. # For more information, see [Calling Amazon Textract Asynchronous # Operations][1]. # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/api-async.html # # @option params [String] :job_tag # An identifier that you specify that's included in the completion # notification published to the Amazon SNS topic. For example, you can # use `JobTag` to identify the type of document that the completion # notification corresponds to (such as a tax form or a receipt). # # @option params [Types::NotificationChannel] :notification_channel # The Amazon SNS topic ARN that you want Amazon Textract to publish the # completion status of the operation to. # # @option params [Types::OutputConfig] :output_config # Sets if the output will go to a customer defined bucket. By default # Amazon Textract will save the results internally to be accessed with # the GetDocumentTextDetection operation. # # @option params [String] :kms_key_id # The KMS key used to encrypt the inference results. This can be in # either Key ID or Key Alias format. When a KMS key is provided, the KMS # key will be used for server-side encryption of the objects in the # customer bucket. When this parameter is not enabled, the result will # be encrypted server side,using SSE-S3. # # @return [Types::StartDocumentTextDetectionResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::StartDocumentTextDetectionResponse#job_id #job_id} => String # # @example Request syntax with placeholder values # # resp = client.start_document_text_detection({ # document_location: { # required # s3_object: { # bucket: "S3Bucket", # name: "S3ObjectName", # version: "S3ObjectVersion", # }, # }, # client_request_token: "ClientRequestToken", # job_tag: "JobTag", # notification_channel: { # sns_topic_arn: "SNSTopicArn", # required # role_arn: "RoleArn", # required # }, # output_config: { # s3_bucket: "S3Bucket", # required # s3_prefix: "S3ObjectName", # }, # kms_key_id: "KMSKeyId", # }) # # @example Response structure # # resp.job_id #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/StartDocumentTextDetection AWS API Documentation # # @overload start_document_text_detection(params = {}) # @param [Hash] params ({}) def start_document_text_detection(params = {}, options = {}) req = build_request(:start_document_text_detection, params) req.send_request(options) end # Starts the asynchronous analysis of invoices or receipts for data like # contact information, items purchased, and vendor names. # # `StartExpenseAnalysis` can analyze text in documents that are in JPEG, # PNG, and PDF format. The documents must be stored in an Amazon S3 # bucket. Use the DocumentLocation parameter to specify the name of your # S3 bucket and the name of the document in that bucket. # # `StartExpenseAnalysis` returns a job identifier (`JobId`) that you # will provide to `GetExpenseAnalysis` to retrieve the results of the # operation. When the analysis of the input invoices/receipts is # finished, Amazon Textract publishes a completion status to the Amazon # Simple Notification Service (Amazon SNS) topic that you provide to the # `NotificationChannel`. To obtain the results of the invoice and # receipt analysis operation, ensure that the status value published to # the Amazon SNS topic is `SUCCEEDED`. If so, call GetExpenseAnalysis, # and pass the job identifier (`JobId`) that was returned by your call # to `StartExpenseAnalysis`. # # For more information, see [Analyzing Invoices and Receipts][1]. # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/invoice-receipts.html # # @option params [required, Types::DocumentLocation] :document_location # The location of the document to be processed. # # @option params [String] :client_request_token # The idempotent token that's used to identify the start request. If # you use the same token with multiple `StartDocumentTextDetection` # requests, the same `JobId` is returned. Use `ClientRequestToken` to # prevent the same job from being accidentally started more than once. # For more information, see [Calling Amazon Textract Asynchronous # Operations][1] # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/api-async.html # # @option params [String] :job_tag # An identifier you specify that's included in the completion # notification published to the Amazon SNS topic. For example, you can # use `JobTag` to identify the type of document that the completion # notification corresponds to (such as a tax form or a receipt). # # @option params [Types::NotificationChannel] :notification_channel # The Amazon SNS topic ARN that you want Amazon Textract to publish the # completion status of the operation to. # # @option params [Types::OutputConfig] :output_config # Sets if the output will go to a customer defined bucket. By default, # Amazon Textract will save the results internally to be accessed by the # `GetExpenseAnalysis` operation. # # @option params [String] :kms_key_id # The KMS key used to encrypt the inference results. This can be in # either Key ID or Key Alias format. When a KMS key is provided, the KMS # key will be used for server-side encryption of the objects in the # customer bucket. When this parameter is not enabled, the result will # be encrypted server side,using SSE-S3. # # @return [Types::StartExpenseAnalysisResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::StartExpenseAnalysisResponse#job_id #job_id} => String # # @example Request syntax with placeholder values # # resp = client.start_expense_analysis({ # document_location: { # required # s3_object: { # bucket: "S3Bucket", # name: "S3ObjectName", # version: "S3ObjectVersion", # }, # }, # client_request_token: "ClientRequestToken", # job_tag: "JobTag", # notification_channel: { # sns_topic_arn: "SNSTopicArn", # required # role_arn: "RoleArn", # required # }, # output_config: { # s3_bucket: "S3Bucket", # required # s3_prefix: "S3ObjectName", # }, # kms_key_id: "KMSKeyId", # }) # # @example Response structure # # resp.job_id #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/StartExpenseAnalysis AWS API Documentation # # @overload start_expense_analysis(params = {}) # @param [Hash] params ({}) def start_expense_analysis(params = {}, options = {}) req = build_request(:start_expense_analysis, params) req.send_request(options) end # Starts the classification and analysis of an input document. # `StartLendingAnalysis` initiates the classification and analysis of a # packet of lending documents. `StartLendingAnalysis` operates on a # document file located in an Amazon S3 bucket. # # `StartLendingAnalysis` can analyze text in documents that are in one # of the following formats: JPEG, PNG, TIFF, PDF. Use `DocumentLocation` # to specify the bucket name and the file name of the document. # # `StartLendingAnalysis` returns a job identifier (`JobId`) that you use # to get the results of the operation. When the text analysis is # finished, Amazon Textract publishes a completion status to the Amazon # Simple Notification Service (Amazon SNS) topic that you specify in # `NotificationChannel`. To get the results of the text analysis # operation, first check that the status value published to the Amazon # SNS topic is SUCCEEDED. If the status is SUCCEEDED you can call either # `GetLendingAnalysis` or `GetLendingAnalysisSummary` and provide the # `JobId` to obtain the results of the analysis. # # If using `OutputConfig` to specify an Amazon S3 bucket, the output # will be contained within the specified prefix in a directory labeled # with the job-id. In the directory there are 3 sub-directories: # # * detailedResponse (contains the GetLendingAnalysis response) # # * summaryResponse (for the GetLendingAnalysisSummary response) # # * splitDocuments (documents split across logical boundaries) # # @option params [required, Types::DocumentLocation] :document_location # The Amazon S3 bucket that contains the document to be processed. It's # used by asynchronous operations. # # The input document can be an image file in JPEG or PNG format. It can # also be a file in PDF format. # # @option params [String] :client_request_token # The idempotent token that you use to identify the start request. If # you use the same token with multiple `StartLendingAnalysis` requests, # the same `JobId` is returned. Use `ClientRequestToken` to prevent the # same job from being accidentally started more than once. For more # information, see [Calling Amazon Textract Asynchronous Operations][1]. # # # # [1]: https://docs.aws.amazon.com/textract/latest/dg/api-sync.html # # @option params [String] :job_tag # An identifier that you specify to be included in the completion # notification published to the Amazon SNS topic. For example, you can # use `JobTag` to identify the type of document that the completion # notification corresponds to (such as a tax form or a receipt). # # @option params [Types::NotificationChannel] :notification_channel # The Amazon Simple Notification Service (Amazon SNS) topic to which # Amazon Textract publishes the completion status of an asynchronous # document operation. # # @option params [Types::OutputConfig] :output_config # Sets whether or not your output will go to a user created bucket. Used # to set the name of the bucket, and the prefix on the output file. # # `OutputConfig` is an optional parameter which lets you adjust where # your output will be placed. By default, Amazon Textract will store the # results internally and can only be accessed by the Get API operations. # With `OutputConfig` enabled, you can set the name of the bucket the # output will be sent to the file prefix of the results where you can # download your results. Additionally, you can set the `KMSKeyID` # parameter to a customer master key (CMK) to encrypt your output. # Without this parameter set Amazon Textract will encrypt server-side # using the AWS managed CMK for Amazon S3. # # Decryption of Customer Content is necessary for processing of the # documents by Amazon Textract. If your account is opted out under an AI # services opt out policy then all unencrypted Customer Content is # immediately and permanently deleted after the Customer Content has # been processed by the service. No copy of of the output is retained by # Amazon Textract. For information about how to opt out, see [ Managing # AI services opt-out policy. ][1] # # For more information on data privacy, see the [Data Privacy FAQ][2]. # # # # [1]: https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_ai-opt-out.html # [2]: https://aws.amazon.com/compliance/data-privacy-faq/ # # @option params [String] :kms_key_id # The KMS key used to encrypt the inference results. This can be in # either Key ID or Key Alias format. When a KMS key is provided, the KMS # key will be used for server-side encryption of the objects in the # customer bucket. When this parameter is not enabled, the result will # be encrypted server side, using SSE-S3. # # @return [Types::StartLendingAnalysisResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::StartLendingAnalysisResponse#job_id #job_id} => String # # @example Request syntax with placeholder values # # resp = client.start_lending_analysis({ # document_location: { # required # s3_object: { # bucket: "S3Bucket", # name: "S3ObjectName", # version: "S3ObjectVersion", # }, # }, # client_request_token: "ClientRequestToken", # job_tag: "JobTag", # notification_channel: { # sns_topic_arn: "SNSTopicArn", # required # role_arn: "RoleArn", # required # }, # output_config: { # s3_bucket: "S3Bucket", # required # s3_prefix: "S3ObjectName", # }, # kms_key_id: "KMSKeyId", # }) # # @example Response structure # # resp.job_id #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/StartLendingAnalysis AWS API Documentation # # @overload start_lending_analysis(params = {}) # @param [Hash] params ({}) def start_lending_analysis(params = {}, options = {}) req = build_request(:start_lending_analysis, params) req.send_request(options) end # Adds one or more tags to the specified resource. # # @option params [required, String] :resource_arn # The Amazon Resource Name (ARN) that specifies the resource to be # tagged. # # @option params [required, Hash] :tags # A set of tags (key-value pairs) that you want to assign to the # resource. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.tag_resource({ # resource_arn: "AmazonResourceName", # required # tags: { # required # "TagKey" => "TagValue", # }, # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/TagResource AWS API Documentation # # @overload tag_resource(params = {}) # @param [Hash] params ({}) def tag_resource(params = {}, options = {}) req = build_request(:tag_resource, params) req.send_request(options) end # Removes any tags with the specified keys from the specified resource. # # @option params [required, String] :resource_arn # The Amazon Resource Name (ARN) that specifies the resource to be # untagged. # # @option params [required, Array] :tag_keys # Specifies the tags to be removed from the resource specified by the # ResourceARN. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.untag_resource({ # resource_arn: "AmazonResourceName", # required # tag_keys: ["TagKey"], # required # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/UntagResource AWS API Documentation # # @overload untag_resource(params = {}) # @param [Hash] params ({}) def untag_resource(params = {}, options = {}) req = build_request(:untag_resource, params) req.send_request(options) end # Update the configuration for an adapter. FeatureTypes configurations # cannot be updated. At least one new parameter must be specified as an # argument. # # @option params [required, String] :adapter_id # A string containing a unique ID for the adapter that will be updated. # # @option params [String] :description # The new description to be applied to the adapter. # # @option params [String] :adapter_name # The new name to be applied to the adapter. # # @option params [String] :auto_update # The new auto-update status to be applied to the adapter. # # @return [Types::UpdateAdapterResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::UpdateAdapterResponse#adapter_id #adapter_id} => String # * {Types::UpdateAdapterResponse#adapter_name #adapter_name} => String # * {Types::UpdateAdapterResponse#creation_time #creation_time} => Time # * {Types::UpdateAdapterResponse#description #description} => String # * {Types::UpdateAdapterResponse#feature_types #feature_types} => Array<String> # * {Types::UpdateAdapterResponse#auto_update #auto_update} => String # # @example Request syntax with placeholder values # # resp = client.update_adapter({ # adapter_id: "AdapterId", # required # description: "AdapterDescription", # adapter_name: "AdapterName", # auto_update: "ENABLED", # accepts ENABLED, DISABLED # }) # # @example Response structure # # resp.adapter_id #=> String # resp.adapter_name #=> String # resp.creation_time #=> Time # resp.description #=> String # resp.feature_types #=> Array # resp.feature_types[0] #=> String, one of "TABLES", "FORMS", "QUERIES", "SIGNATURES", "LAYOUT" # resp.auto_update #=> String, one of "ENABLED", "DISABLED" # # @see http://docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/UpdateAdapter AWS API Documentation # # @overload update_adapter(params = {}) # @param [Hash] params ({}) def update_adapter(params = {}, options = {}) req = build_request(:update_adapter, params) req.send_request(options) end # @!endgroup # @param params ({}) # @api private def build_request(operation_name, params = {}) handlers = @handlers.for(operation_name) context = Seahorse::Client::RequestContext.new( operation_name: operation_name, operation: config.api.operation(operation_name), client: self, params: params, config: config) context[:gem_name] = 'aws-sdk-textract' context[:gem_version] = '1.55.0' Seahorse::Client::Request.new(handlers, context) end # @api private # @deprecated def waiter_names [] end class << self # @api private attr_reader :identifier # @api private def errors_module Errors end end end end