AWS CLI Command Reference

[ aws . transcribe ]

get-transcription-job

Description

Provides information about the specified transcription job.

To view the status of the specified transcription job, check the TranscriptionJobStatus field. If the status is COMPLETED , the job is finished and you can find the results at the location specified in TranscriptFileUri . If the status is FAILED , FailureReason provides details on why your transcription job failed.

If you enabled content redaction, the redacted transcript can be found at the location specified in RedactedTranscriptFileUri .

To get a list of your transcription jobs, use the operation.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  get-transcription-job
--transcription-job-name <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--transcription-job-name (string)

The name of the transcription job you want information about. Job names are case sensitive.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

See ‘aws help’ for descriptions of global parameters.

Examples

Note

To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.

Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .

To get information about a specific transcription job

The following get-transcription-job example gets information about a specific transcription job. To access the transcription results, use the TranscriptFileUri parameter. Use the MediaFileUri parameter to see which audio file you transcribed with this job. You can use the Settings object to see the optional features you’ve enabled in the transcription job.

aws transcribe get-transcription-job \
    --transcription-job-name your-transcription-job

Output:

{
    "TranscriptionJob": {
        "TranscriptionJobName": "your-transcription-job",
        "TranscriptionJobStatus": "COMPLETED",
        "LanguageCode": "language-code",
        "MediaSampleRateHertz": 48000,
        "MediaFormat": "mp4",
        "Media": {
            "MediaFileUri": "s3://DOC-EXAMPLE-BUCKET/your-audio-file.file-extension"
        },
        "Transcript": {
            "TranscriptFileUri": "https://Amazon-S3-file-location-of-transcription-output"
        },
        "StartTime": "2020-09-18T22:27:23.970000+00:00",
        "CreationTime": "2020-09-18T22:27:23.948000+00:00",
        "CompletionTime": "2020-09-18T22:28:21.197000+00:00",
        "Settings": {
            "ChannelIdentification": false,
            "ShowAlternatives": false
        },
        "IdentifyLanguage": true,
        "IdentifiedLanguageScore": 0.8672199249267578
    }
}

For more information, see Getting Started (AWS Command Line Interface) in the Amazon Transcribe Developer Guide.

Output

TranscriptionJob -> (structure)

Provides detailed information about the specified transcription job, including job status and, if applicable, failure reason.

TranscriptionJobName -> (string)

The name of the transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.

TranscriptionJobStatus -> (string)

Provides the status of the specified transcription job.

If the status is COMPLETED , the job is finished and you can find the results at the location specified in TranscriptFileUri (or RedactedTranscriptFileUri , if you requested transcript redaction). If the status is FAILED , FailureReason provides details on why your transcription job failed.

LanguageCode -> (string)

The language code used to create your transcription job. For a list of supported languages and their associated language codes, refer to the Supported languages table.

Note that you must include one of LanguageCode , IdentifyLanguage , or IdentifyMultipleLanguages in your request. If you include more than one of these parameters, your transcription job fails.

MediaSampleRateHertz -> (integer)

The sample rate, in Hertz, of the audio track in your input media file.

MediaFormat -> (string)

The format of the input media file.

Media -> (structure)

Describes the Amazon S3 location of the media file you want to use in your request.

MediaFileUri -> (string)

The Amazon S3 location of the media file you want to transcribe. For example:

  • s3://DOC-EXAMPLE-BUCKET/my-media-file.flac

  • s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac

Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you’re making your transcription request.

RedactedMediaFileUri -> (string)

The Amazon S3 location of the media file you want to redact. For example:

  • s3://DOC-EXAMPLE-BUCKET/my-media-file.flac

  • s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac

Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you’re making your transcription request.

Warning

RedactedMediaFileUri is only supported for Call Analytics (StartCallAnalyticsJob ) transcription requests.

Transcript -> (structure)

Provides you with the Amazon S3 URI you can use to access your transcript.

TranscriptFileUri -> (string)

The Amazon S3 location of your transcript. You can use this URI to access or download your transcript.

If you included OutputBucketName in your transcription job request, this is the URI of that bucket. If you also included OutputKey in your request, your output is located in the path you specified in your request.

If you didn’t include OutputBucketName in your transcription job request, your transcript is stored in a service-managed bucket, and TranscriptFileUri provides you with a temporary URI you can use for secure access to your transcript.

Note

Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get an AccesDenied error, you can get a new temporary URI by running a GetTranscriptionJob or ListTranscriptionJob request.

RedactedTranscriptFileUri -> (string)

The Amazon S3 location of your redacted transcript. You can use this URI to access or download your transcript.

If you included OutputBucketName in your transcription job request, this is the URI of that bucket. If you also included OutputKey in your request, your output is located in the path you specified in your request.

If you didn’t include OutputBucketName in your transcription job request, your transcript is stored in a service-managed bucket, and RedactedTranscriptFileUri provides you with a temporary URI you can use for secure access to your transcript.

Note

Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get an AccesDenied error, you can get a new temporary URI by running a GetTranscriptionJob or ListTranscriptionJob request.

StartTime -> (timestamp)

The date and time the specified transcription job began processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC . For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

CreationTime -> (timestamp)

The date and time the specified transcription job request was made.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC . For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

CompletionTime -> (timestamp)

The date and time the specified transcription job finished processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC . For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.

FailureReason -> (string)

If TranscriptionJobStatus is FAILED , FailureReason contains information about why the transcription job request failed.

The FailureReason field contains one of the following values:

  • Unsupported media format . The media format specified in MediaFormat isn’t valid. Refer to MediaFormat for a list of supported formats.

  • The media format provided does not match the detected media format . The media format specified in MediaFormat doesn’t match the format of the input file. Check the media format of your media file and correct the specified value.

  • Invalid sample rate for audio file . The sample rate specified in MediaSampleRateHertz isn’t valid. The sample rate must be between 8,000 and 48,000 Hertz.

  • The sample rate provided does not match the detected sample rate . The sample rate specified in MediaSampleRateHertz doesn’t match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value.

  • Invalid file size: file size too large . The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Guidelines and quotas .

  • Invalid number of channels: number of channels too large . Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Guidelines and quotas .

Settings -> (structure)

Specify additional optional settings in your request, including channel identification, alternative transcriptions, speaker labeling; allows you to apply custom vocabularies and vocabulary filters.

If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but do not want to use automatic language identification, use Settings with the VocabularyName or VocabularyFilterName (or both) sub-parameter.

If you’re using automatic language identification with your request and want to include a custom language model, a custom vocabulary, or a custom vocabulary filter, do not use the Settings parameter; use instead the parameter with the LanguageModelName , VocabularyName or VocabularyFilterName sub-parameters.

VocabularyName -> (string)

The name of the custom vocabulary you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.

ShowSpeakerLabels -> (boolean)

Enables speaker identification (diarization) in your transcription output. Speaker identification labels the speech from individual speakers in your media file.

If you enable ShowSpeakerLabels in your request, you must also include MaxSpeakerLabels .

You can’t include both ShowSpeakerLabels and ChannelIdentification in the same request. Including both parameters returns a BadRequestException .

For more information, see Identifying speakers (diarization) .

MaxSpeakerLabels -> (integer)

Specify the maximum number of speakers you want to identify in your media.

Note that if your media contains more speakers than the specified number, multiple speakers will be identified as a single speaker.

If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.

ChannelIdentification -> (boolean)

Enables channel identification in multi-channel audio.

Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.

You can’t include both ShowSpeakerLabels and ChannelIdentification in the same request. Including both parameters returns a BadRequestException .

For more information, see Transcribing multi-channel audio .

ShowAlternatives -> (boolean)

To include alternative transcriptions within your transcription output, include ShowAlternatives in your transcription request.

If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.

If you include ShowAlternatives , you must also include MaxAlternatives , which is the maximum number of alternative transcriptions you want Amazon Transcribe to generate.

For more information, see Alternative transcriptions .

MaxAlternatives -> (integer)

Indicate the maximum number of alternative transcriptions you want Amazon Transcribe to include in your transcript.

If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe, only the actual number of alternative transcriptions are included.

If you include MaxAlternatives in your request, you must also include ShowAlternatives with a value of true .

For more information, see Alternative transcriptions .

VocabularyFilterName -> (string)

The name of the custom vocabulary filter you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod .

VocabularyFilterMethod -> (string)

Specify how you want your vocabulary filter applied to your transcript.

To replace words with *** , choose mask .

To delete words, choose remove .

To flag words without changing them, choose tag .

ModelSettings -> (structure)

The custom language model you want to include with your transcription job. If you include ModelSettings in your request, you must include the LanguageModelName sub-parameter.

LanguageModelName -> (string)

The name of the custom language model you want to use when processing your transcription job. Note that language model names are case sensitive.

The language of the specified language model must match the language code you specify in your transcription request. If the languages don’t match, the language model isn’t applied. There are no errors or warnings associated with a language mismatch.

JobExecutionSettings -> (structure)

Provides information about how your transcription job is being processed. This parameter shows if your request is queued and what data access role is being used.

AllowDeferredExecution -> (boolean)

Allows you to enable job queuing when your concurrent request limit is exceeded. When AllowDeferredExecution is set to true , transcription job requests are placed in a queue until the number of jobs falls below the concurrent request limit. If AllowDeferredExecution is set to false and the number of transcription job requests exceed the concurrent request limit, you get a LimitExceededException error.

Note that job queuing is enabled by default for Call Analytics jobs.

If you include AllowDeferredExecution in your request, you must also include DataAccessRoleArn .

DataAccessRoleArn -> (string)

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path . For example: arn:aws:iam::111122223333:role/Admin . For more information, see IAM ARNs .

Note that if you include DataAccessRoleArn in your request, you must also include AllowDeferredExecution .

ContentRedaction -> (structure)

Redacts or flags specified personally identifiable information (PII) in your transcript.

RedactionType -> (string)

Specify the category of information you want to redact; PII (personally identifiable information) is the only valid value. You can use PiiEntityTypes to choose which types of PII you want to redact.

RedactionOutput -> (string)

Specify if you want only a redacted transcript, or if you want a redacted and an unredacted transcript.

When you choose redacted Amazon Transcribe creates only a redacted transcript.

When you choose redacted_and_unredacted Amazon Transcribe creates a redacted and an unredacted transcript (as two separate files).

PiiEntityTypes -> (list)

Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you’d like, or you can select ALL .

(string)

IdentifyLanguage -> (boolean)

Indicates whether automatic language identification was enabled (TRUE ) for the specified transcription job.

IdentifyMultipleLanguages -> (boolean)

Indicates whether automatic multi-language identification was enabled (TRUE ) for the specified transcription job.

LanguageOptions -> (list)

You can specify two or more language codes that represent the languages you think may be present in your media; including more than five is not recommended. If you’re unsure what languages are present, do not include this parameter.

If you include LanguageOptions in your request, you must also include IdentifyLanguage .

For more information, refer to Supported languages .

To transcribe speech in Modern Standard Arabic (ar-SA ), your media file must be encoded at a sample rate of 16,000 Hz or higher.

(string)

IdentifiedLanguageScore -> (float)

The confidence score associated with the language identified in your media file.

Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.

LanguageCodes -> (list)

The language codes used to create your transcription job. This parameter is used with multi-language identification. For single-language identification requests, refer to the singular version of this parameter, LanguageCode .

For a list of supported languages and their associated language codes, refer to the Supported languages table.

(structure)

Provides information on the speech contained in a discreet utterance when multi-language identification is enabled in your request. This utterance represents a block of speech consisting of one language, preceded or followed by a block of speech in a different language.

LanguageCode -> (string)

Provides the language code for each language identified in your media.

DurationInSeconds -> (float)

Provides the total time, in seconds, each identified language is spoken in your media.

Tags -> (list)

Adds one or more custom tags, each in the form of a key:value pair, to a new transcription job at the time you start this new job.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources .

(structure)

Adds metadata, in the form of a key:value pair, to the specified resource.

For example, you could add the tag Department:Sales to a resource to indicate that it pertains to your organization’s sales department. You can also use tags for tag-based access control.

To learn more about tagging, see Tagging resources .

Key -> (string)

The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag Department:Sales , the key is ‘Department’.

Value -> (string)

The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag Department:Sales , the value is ‘Sales’.

Note that you can set the value of a tag to an empty string, but you can’t set the value of a tag to null. Omitting the tag value is the same as using an empty string.

Subtitles -> (structure)

Generate subtitles for your media file with your transcription request.

Formats -> (list)

Provides the format of your subtitle files. If your request included both WebVTT (vtt ) and SubRip (srt ) formats, both formats are shown.

(string)

SubtitleFileUris -> (list)

The Amazon S3 location of your transcript. You can use this URI to access or download your subtitle file. Your subtitle file is stored in the same location as your transcript. If you specified both WebVTT and SubRip subtitle formats, two URIs are provided.

If you included OutputBucketName in your transcription job request, this is the URI of that bucket. If you also included OutputKey in your request, your output is located in the path you specified in your request.

If you didn’t include OutputBucketName in your transcription job request, your subtitle file is stored in a service-managed bucket, and TranscriptFileUri provides you with a temporary URI you can use for secure access to your subtitle file.

Note

Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get an AccesDenied error, you can get a new temporary URI by running a GetTranscriptionJob or ListTranscriptionJob request.

(string)

OutputStartIndex -> (integer)

Provides the start index value for your subtitle files. If you did not specify a value in your request, the default value of 0 is used.

LanguageIdSettings -> (map)

If using automatic language identification (IdentifyLanguage ) in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include LanguageIdSettings with the relevant sub-parameters (VocabularyName , LanguageModelName , and VocabularyFilterName ).

You can specify two or more language codes that represent the languages you think may be present in your media; including more than five is not recommended. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The languages you specify must match the languages of the specified custom language models, custom vocabularies, and custom vocabulary filters.

To include language options using IdentifyLanguage without including a custom language model, a custom vocabulary, or a custom vocabulary filter, use LanguageOptions instead of LanguageIdSettings . Including language options can improve the accuracy of automatic language identification.

If you want to include a custom language model with your request but do not want to use automatic language identification, use instead the parameter with the LanguageModelName sub-parameter.

If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but do not want to use automatic language identification, use instead the parameter with the VocabularyName or VocabularyFilterName (or both) sub-parameter.

key -> (string)

value -> (structure)

If using automatic language identification (IdentifyLanguage ) in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include LanguageIdSettings with the relevant sub-parameters (VocabularyName , LanguageModelName , and VocabularyFilterName ).

You can specify two or more language codes that represent the languages you think may be present in your media; including more than five is not recommended. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The languages you specify must match the languages of the specified custom language models, custom vocabularies, and custom vocabulary filters.

To include language options using IdentifyLanguage without including a custom language model, a custom vocabulary, or a custom vocabulary filter, use LanguageOptions instead of LanguageIdSettings . Including language options can improve the accuracy of automatic language identification.

If you want to include a custom language model with your request but do not want to use automatic language identification, use instead the parameter with the LanguageModelName sub-parameter.

If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but do not want to use automatic language identification, use instead the parameter with the VocabularyName or VocabularyFilterName (or both) sub-parameter.

VocabularyName -> (string)

The name of the custom vocabulary you want to use when processing your transcription job. Vocabulary names are case sensitive.

The language of the specified vocabulary must match the language code you specify in your transcription request. If the languages don’t match, the vocabulary isn’t applied. There are no errors or warnings associated with a language mismatch.

VocabularyFilterName -> (string)

The name of the custom vocabulary filter you want to use when processing your transcription job. Vocabulary filter names are case sensitive.

The language of the specified vocabulary filter must match the language code you specify in your transcription request. If the languages don’t match, the vocabulary filter isn’t applied. There are no errors or warnings associated with a language mismatch.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod .

LanguageModelName -> (string)

The name of the custom language model you want to use when processing your transcription job. Note that language model names are case sensitive.

The language of the specified language model must match the language code you specify in your transcription request. If the languages don’t match, the language model isn’t applied. There are no errors or warnings associated with a language mismatch.

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