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use Moose;
has AnalyzeDocumentModelVersion => (is => 'ro', isa => 'Str');
has Blocks => (is => 'ro', isa => 'ArrayRef[Paws::Textract::Block]');
has DocumentMetadata => (is => 'ro', isa => 'Paws::Textract::DocumentMetadata');
has JobStatus => (is => 'ro', isa => 'Str');
has NextToken => (is => 'ro', isa => 'Str');
has StatusMessage => (is => 'ro', isa => 'Str');
has Warnings => (is => 'ro', isa => 'ArrayRef[Paws::Textract::Warning]');
has _request_id => (is => 'ro', isa => 'Str');
### main pod documentation begin ###
=head1 NAME
Paws::Textract::GetDocumentAnalysisResponse
=head1 ATTRIBUTES
=head2 AnalyzeDocumentModelVersion => Str
=head2 Blocks => ArrayRef[L<Paws::Textract::Block>]
The results of the text-analysis operation.
=head2 DocumentMetadata => L<Paws::Textract::DocumentMetadata>
Information about a document that Amazon Textract processed.
C<DocumentMetadata> is returned in every page of paginated responses
from an Amazon Textract video operation.
=head2 JobStatus => Str
The current status of the text detection job.
Valid values are: C<"IN_PROGRESS">, C<"SUCCEEDED">, C<"FAILED">, C<"PARTIAL_SUCCESS">
=head2 NextToken => Str
If the response is truncated, Amazon Textract returns this token. You
can use this token in the subsequent request to retrieve the next set
of text detection results.
=head2 StatusMessage => Str
Returns if the detection job could not be completed. Contains
explanation for what error occured.
=head2 Warnings => ArrayRef[L<Paws::Textract::Warning>]
A list of warnings that occurred during the document-analysis
operation.
=head2 _request_id => Str
=cut
1;