textract_start_document_text_detection: Starts the asynchronous detection of text in a document
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

textract_start_document_text_detection

R Documentation

Starts the asynchronous detection of text in a document

Description

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.

See https://www.paws-r-sdk.com/docs/textract_start_document_text_detection/ for full documentation.

Usage

textract_start_document_text_detection(
  DocumentLocation,
  ClientRequestToken = NULL,
  JobTag = NULL,
  NotificationChannel = NULL,
  OutputConfig = NULL,
  KMSKeyId = NULL
)

Arguments

`DocumentLocation`	[required] The location of the document to be processed.
`ClientRequestToken`	The idempotent token that's used to identify the start request. If you use the same token with multiple `start_document_text_detection` 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.
`JobTag`	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).
`NotificationChannel`	The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.
`OutputConfig`	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.
`KMSKeyId`	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.