package Paws::Rekognition::GetTextDetectionResponse; use Moose; has JobStatus => (is => 'ro', isa => 'Str'); has NextToken => (is => 'ro', isa => 'Str'); has StatusMessage => (is => 'ro', isa => 'Str'); has TextDetections => (is => 'ro', isa => 'ArrayRef[Paws::Rekognition::TextDetectionResult]'); has TextModelVersion => (is => 'ro', isa => 'Str'); has VideoMetadata => (is => 'ro', isa => 'Paws::Rekognition::VideoMetadata'); has _request_id => (is => 'ro', isa => 'Str'); ### main pod documentation begin ### =head1 NAME Paws::Rekognition::GetTextDetectionResponse =head1 ATTRIBUTES =head2 JobStatus => Str Current status of the text detection job. Valid values are: C<"IN_PROGRESS">, C<"SUCCEEDED">, C<"FAILED"> =head2 NextToken => Str If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of text. =head2 StatusMessage => Str If the job fails, C provides a descriptive error message. =head2 TextDetections => ArrayRef[L] An array of text detected in the video. Each element contains the detected text, the time in milliseconds from the start of the video that the text was detected, and where it was detected on the screen. =head2 TextModelVersion => Str Version number of the text detection model that was used to detect text. =head2 VideoMetadata => L =head2 _request_id => Str =cut 1;