#[non_exhaustive]
pub struct StartDocumentTextDetectionInput { pub document_location: Option<DocumentLocation>, pub client_request_token: Option<String>, pub job_tag: Option<String>, pub notification_channel: Option<NotificationChannel>, pub output_config: Option<OutputConfig>, pub kms_key_id: Option<String>, }

Fields (Non-exhaustive)

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
document_location: Option<DocumentLocation>

The location of the document to be processed.

client_request_token: Option<String>

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.

job_tag: Option<String>

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).

notification_channel: Option<NotificationChannel>

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

output_config: Option<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.

kms_key_id: Option<String>

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.

Implementations

Consumes the builder and constructs an Operation<StartDocumentTextDetection>

Creates a new builder-style object to manufacture StartDocumentTextDetectionInput

The location of the document to be processed.

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.

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).

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

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.

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.

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