class Aws::Textract::Types::AnalyzeDocumentRequest
@note When making an API call, you may pass AnalyzeDocumentRequest
data as a hash: { document: { # required bytes: "data", s3_object: { bucket: "S3Bucket", name: "S3ObjectName", version: "S3ObjectVersion", }, }, feature_types: ["TABLES"], # required, accepts TABLES, FORMS human_loop_config: { human_loop_name: "HumanLoopName", # required flow_definition_arn: "FlowDefinitionArn", # required data_attributes: { content_classifiers: ["FreeOfPersonallyIdentifiableInformation"], # accepts FreeOfPersonallyIdentifiableInformation, FreeOfAdultContent }, }, }
@!attribute [rw] 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::Document]
@!attribute [rw] 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`). @return [Array<String>]
@!attribute [rw] human_loop_config
Sets the configuration for the human in the loop workflow for analyzing documents. @return [Types::HumanLoopConfig]
@see docs.aws.amazon.com/goto/WebAPI/textract-2018-06-27/AnalyzeDocumentRequest AWS API Documentation
Constants
- SENSITIVE