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