package Paws::Textract::StartDocumentTextDetection; use Moose; has ClientRequestToken => (is => 'ro', isa => 'Str'); has DocumentLocation => (is => 'ro', isa => 'Paws::Textract::DocumentLocation', required => 1); has JobTag => (is => 'ro', isa => 'Str'); has KMSKeyId => (is => 'ro', isa => 'Str'); has NotificationChannel => (is => 'ro', isa => 'Paws::Textract::NotificationChannel'); has OutputConfig => (is => 'ro', isa => 'Paws::Textract::OutputConfig'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'StartDocumentTextDetection'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Textract::StartDocumentTextDetectionResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Textract::StartDocumentTextDetection - Arguments for method StartDocumentTextDetection on L =head1 DESCRIPTION This class represents the parameters used for calling the method StartDocumentTextDetection on the L service. Use the attributes of this class as arguments to method StartDocumentTextDetection. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to StartDocumentTextDetection. =head1 SYNOPSIS my $textract = Paws->service('Textract'); my $StartDocumentTextDetectionResponse = $textract->StartDocumentTextDetection( DocumentLocation => { S3Object => { Bucket => 'MyS3Bucket', # min: 3, max: 255; OPTIONAL Name => 'MyS3ObjectName', # min: 1, max: 1024; OPTIONAL Version => 'MyS3ObjectVersion', # min: 1, max: 1024; OPTIONAL }, # OPTIONAL }, ClientRequestToken => 'MyClientRequestToken', # OPTIONAL JobTag => 'MyJobTag', # OPTIONAL KMSKeyId => 'MyKMSKeyId', # OPTIONAL NotificationChannel => { RoleArn => 'MyRoleArn', # min: 20, max: 2048 SNSTopicArn => 'MySNSTopicArn', # min: 20, max: 1024 }, # OPTIONAL OutputConfig => { S3Bucket => 'MyS3Bucket', # min: 3, max: 255; OPTIONAL S3Prefix => 'MyS3ObjectName', # min: 1, max: 1024; OPTIONAL }, # OPTIONAL ); # Results: my $JobId = $StartDocumentTextDetectionResponse->JobId; # Returns a L object. Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see L =head1 ATTRIBUTES =head2 ClientRequestToken => Str The idempotent token that's used to identify the start request. If you use the same token with multiple C requests, the same C is returned. Use C to prevent the same job from being accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations (https://docs.aws.amazon.com/textract/latest/dg/api-async.html). =head2 B DocumentLocation => L The location of the document to be processed. =head2 JobTag => Str An identifier that you specify that's included in the completion notification published to the Amazon SNS topic. For example, you can use C to identify the type of document that the completion notification corresponds to (such as a tax form or a receipt). =head2 KMSKeyId => Str 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. =head2 NotificationChannel => L The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to. =head2 OutputConfig => L 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. =head1 SEE ALSO This class forms part of L, documenting arguments for method StartDocumentTextDetection in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut