Class: Aws::Textract::Types::StartDocumentAnalysisRequest

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-textract/lib/aws-sdk-textract/types.rb

Overview

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#adapters_configTypes::AdaptersConfig

Specifies the adapter to be used when analyzing a document.



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# File 'gems/aws-sdk-textract/lib/aws-sdk-textract/types.rb', line 2785

class StartDocumentAnalysisRequest < Struct.new(
  :document_location,
  :feature_types,
  :client_request_token,
  :job_tag,
  :notification_channel,
  :output_config,
  :kms_key_id,
  :queries_config,
  :adapters_config)
  SENSITIVE = []
  include Aws::Structure
end

#client_request_tokenString

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.

Returns:

  • (String)


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# File 'gems/aws-sdk-textract/lib/aws-sdk-textract/types.rb', line 2785

class StartDocumentAnalysisRequest < Struct.new(
  :document_location,
  :feature_types,
  :client_request_token,
  :job_tag,
  :notification_channel,
  :output_config,
  :kms_key_id,
  :queries_config,
  :adapters_config)
  SENSITIVE = []
  include Aws::Structure
end

#document_locationTypes::DocumentLocation

The location of the document to be processed.



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# File 'gems/aws-sdk-textract/lib/aws-sdk-textract/types.rb', line 2785

class StartDocumentAnalysisRequest < Struct.new(
  :document_location,
  :feature_types,
  :client_request_token,
  :job_tag,
  :notification_channel,
  :output_config,
  :kms_key_id,
  :queries_config,
  :adapters_config)
  SENSITIVE = []
  include Aws::Structure
end

#feature_typesArray<String>

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).

Returns:

  • (Array<String>)


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# File 'gems/aws-sdk-textract/lib/aws-sdk-textract/types.rb', line 2785

class StartDocumentAnalysisRequest < Struct.new(
  :document_location,
  :feature_types,
  :client_request_token,
  :job_tag,
  :notification_channel,
  :output_config,
  :kms_key_id,
  :queries_config,
  :adapters_config)
  SENSITIVE = []
  include Aws::Structure
end

#job_tagString

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).

Returns:

  • (String)


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# File 'gems/aws-sdk-textract/lib/aws-sdk-textract/types.rb', line 2785

class StartDocumentAnalysisRequest < Struct.new(
  :document_location,
  :feature_types,
  :client_request_token,
  :job_tag,
  :notification_channel,
  :output_config,
  :kms_key_id,
  :queries_config,
  :adapters_config)
  SENSITIVE = []
  include Aws::Structure
end

#kms_key_idString

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.

Returns:

  • (String)


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# File 'gems/aws-sdk-textract/lib/aws-sdk-textract/types.rb', line 2785

class StartDocumentAnalysisRequest < Struct.new(
  :document_location,
  :feature_types,
  :client_request_token,
  :job_tag,
  :notification_channel,
  :output_config,
  :kms_key_id,
  :queries_config,
  :adapters_config)
  SENSITIVE = []
  include Aws::Structure
end

#notification_channelTypes::NotificationChannel

The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.



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# File 'gems/aws-sdk-textract/lib/aws-sdk-textract/types.rb', line 2785

class StartDocumentAnalysisRequest < Struct.new(
  :document_location,
  :feature_types,
  :client_request_token,
  :job_tag,
  :notification_channel,
  :output_config,
  :kms_key_id,
  :queries_config,
  :adapters_config)
  SENSITIVE = []
  include Aws::Structure
end

#output_configTypes::OutputConfig

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.

Returns:



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# File 'gems/aws-sdk-textract/lib/aws-sdk-textract/types.rb', line 2785

class StartDocumentAnalysisRequest < Struct.new(
  :document_location,
  :feature_types,
  :client_request_token,
  :job_tag,
  :notification_channel,
  :output_config,
  :kms_key_id,
  :queries_config,
  :adapters_config)
  SENSITIVE = []
  include Aws::Structure
end

#queries_configTypes::QueriesConfig



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# File 'gems/aws-sdk-textract/lib/aws-sdk-textract/types.rb', line 2785

class StartDocumentAnalysisRequest < Struct.new(
  :document_location,
  :feature_types,
  :client_request_token,
  :job_tag,
  :notification_channel,
  :output_config,
  :kms_key_id,
  :queries_config,
  :adapters_config)
  SENSITIVE = []
  include Aws::Structure
end