TranscribeService / Client / get_transcription_job
get_transcription_job#
- TranscribeService.Client.get_transcription_job(**kwargs)#
Provides information about the specified transcription job.
To view the status of the specified transcription job, check the
TranscriptionJobStatus
field. If the status isCOMPLETED
, the job is finished. You can find the results at the location specified inTranscriptFileUri
. If the status isFAILED
,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
Request Syntax
response = client.get_transcription_job( TranscriptionJobName='string' )
- Parameters:
TranscriptionJobName (string) –
[REQUIRED]
The name of the transcription job you want information about. Job names are case sensitive.
- Return type:
dict
- Returns:
Response Syntax
{ 'TranscriptionJob': { 'TranscriptionJobName': 'string', 'TranscriptionJobStatus': 'QUEUED'|'IN_PROGRESS'|'FAILED'|'COMPLETED', 'LanguageCode': 'af-ZA'|'ar-AE'|'ar-SA'|'da-DK'|'de-CH'|'de-DE'|'en-AB'|'en-AU'|'en-GB'|'en-IE'|'en-IN'|'en-US'|'en-WL'|'es-ES'|'es-US'|'fa-IR'|'fr-CA'|'fr-FR'|'he-IL'|'hi-IN'|'id-ID'|'it-IT'|'ja-JP'|'ko-KR'|'ms-MY'|'nl-NL'|'pt-BR'|'pt-PT'|'ru-RU'|'ta-IN'|'te-IN'|'tr-TR'|'zh-CN'|'zh-TW'|'th-TH'|'en-ZA'|'en-NZ'|'vi-VN'|'sv-SE', 'MediaSampleRateHertz': 123, 'MediaFormat': 'mp3'|'mp4'|'wav'|'flac'|'ogg'|'amr'|'webm', 'Media': { 'MediaFileUri': 'string', 'RedactedMediaFileUri': 'string' }, 'Transcript': { 'TranscriptFileUri': 'string', 'RedactedTranscriptFileUri': 'string' }, 'StartTime': datetime(2015, 1, 1), 'CreationTime': datetime(2015, 1, 1), 'CompletionTime': datetime(2015, 1, 1), 'FailureReason': 'string', 'Settings': { 'VocabularyName': 'string', 'ShowSpeakerLabels': True|False, 'MaxSpeakerLabels': 123, 'ChannelIdentification': True|False, 'ShowAlternatives': True|False, 'MaxAlternatives': 123, 'VocabularyFilterName': 'string', 'VocabularyFilterMethod': 'remove'|'mask'|'tag' }, 'ModelSettings': { 'LanguageModelName': 'string' }, 'JobExecutionSettings': { 'AllowDeferredExecution': True|False, 'DataAccessRoleArn': 'string' }, 'ContentRedaction': { 'RedactionType': 'PII', 'RedactionOutput': 'redacted'|'redacted_and_unredacted', 'PiiEntityTypes': [ 'BANK_ACCOUNT_NUMBER'|'BANK_ROUTING'|'CREDIT_DEBIT_NUMBER'|'CREDIT_DEBIT_CVV'|'CREDIT_DEBIT_EXPIRY'|'PIN'|'EMAIL'|'ADDRESS'|'NAME'|'PHONE'|'SSN'|'ALL', ] }, 'IdentifyLanguage': True|False, 'IdentifyMultipleLanguages': True|False, 'LanguageOptions': [ 'af-ZA'|'ar-AE'|'ar-SA'|'da-DK'|'de-CH'|'de-DE'|'en-AB'|'en-AU'|'en-GB'|'en-IE'|'en-IN'|'en-US'|'en-WL'|'es-ES'|'es-US'|'fa-IR'|'fr-CA'|'fr-FR'|'he-IL'|'hi-IN'|'id-ID'|'it-IT'|'ja-JP'|'ko-KR'|'ms-MY'|'nl-NL'|'pt-BR'|'pt-PT'|'ru-RU'|'ta-IN'|'te-IN'|'tr-TR'|'zh-CN'|'zh-TW'|'th-TH'|'en-ZA'|'en-NZ'|'vi-VN'|'sv-SE', ], 'IdentifiedLanguageScore': ..., 'LanguageCodes': [ { 'LanguageCode': 'af-ZA'|'ar-AE'|'ar-SA'|'da-DK'|'de-CH'|'de-DE'|'en-AB'|'en-AU'|'en-GB'|'en-IE'|'en-IN'|'en-US'|'en-WL'|'es-ES'|'es-US'|'fa-IR'|'fr-CA'|'fr-FR'|'he-IL'|'hi-IN'|'id-ID'|'it-IT'|'ja-JP'|'ko-KR'|'ms-MY'|'nl-NL'|'pt-BR'|'pt-PT'|'ru-RU'|'ta-IN'|'te-IN'|'tr-TR'|'zh-CN'|'zh-TW'|'th-TH'|'en-ZA'|'en-NZ'|'vi-VN'|'sv-SE', 'DurationInSeconds': ... }, ], 'Tags': [ { 'Key': 'string', 'Value': 'string' }, ], 'Subtitles': { 'Formats': [ 'vtt'|'srt', ], 'SubtitleFileUris': [ 'string', ], 'OutputStartIndex': 123 }, 'LanguageIdSettings': { 'string': { 'VocabularyName': 'string', 'VocabularyFilterName': 'string', 'LanguageModelName': 'string' } } } }
Response Structure
(dict) –
TranscriptionJob (dict) –
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 inTranscriptFileUri
(orRedactedTranscriptFileUri
, if you requested transcript redaction). If the status isFAILED
,FailureReason
provides details on why your transcription job failed.LanguageCode (string) –
The language code used to create your transcription job. This parameter is used with single-language identification. For multi-language identification requests, refer to the plural version of this parameter,
LanguageCodes
.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 (dict) –
Provides the Amazon S3 location of the media file you used 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
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.
Transcript (dict) –
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 includedOutputKey
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, andTranscriptFileUri
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 aGetTranscriptionJob
orListTranscriptionJob
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 includedOutputKey
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, andRedactedTranscriptFileUri
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 aGetTranscriptionJob
orListTranscriptionJob
request.
StartTime (datetime) –
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 (datetime) –
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 (datetime) –
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
isFAILED
,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 inMediaFormat
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 inMediaFormat
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 inMediaSampleRateHertz
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 inMediaSampleRateHertz
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 (dict) –
Provides information on any additional settings that were included in your request. Additional settings include channel identification, alternative transcriptions, speaker partitioning, custom vocabularies, and custom vocabulary filters.
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 partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.
If you enable
ShowSpeakerLabels
in your request, you must also includeMaxSpeakerLabels
.You can’t include both
ShowSpeakerLabels
andChannelIdentification
in the same request. Including both parameters returns aBadRequestException
.For more information, see Partitioning speakers (diarization).
MaxSpeakerLabels (integer) –
Specify the maximum number of speakers you want to partition in your media.
Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.
If you specify the
MaxSpeakerLabels
field, you must set theShowSpeakerLabels
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
andChannelIdentification
in the same request. Including both parameters returns aBadRequestException
.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 includeMaxAlternatives
, 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 includeShowAlternatives
with a value oftrue
.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 includeVocabularyFilterMethod
.VocabularyFilterMethod (string) –
Specify how you want your custom vocabulary filter applied to your transcript.
To replace words with
***
, choosemask
.To delete words, choose
remove
.To flag words without changing them, choose
tag
.
ModelSettings (dict) –
Provides information on the custom language model you included in your request.
LanguageModelName (string) –
The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages don’t match, the custom language model isn’t applied. There are no errors or warnings associated with a language mismatch.
JobExecutionSettings (dict) –
Provides information about how your transcription job was processed. This parameter shows if your request was queued and what data access role was used.
AllowDeferredExecution (boolean) –
Makes it possible to enable job queuing when your concurrent request limit is exceeded. When
AllowDeferredExecution
is set totrue
, transcription job requests are placed in a queue until the number of jobs falls below the concurrent request limit. IfAllowDeferredExecution
is set tofalse
and the number of transcription job requests exceed the concurrent request limit, you get aLimitExceededException
error.If you include
AllowDeferredExecution
in your request, you must also includeDataAccessRoleArn
.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 that 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 includeAllowDeferredExecution
.
ContentRedaction (dict) –
Indicates whether redaction was enabled 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 usePiiEntityTypes
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) –
Provides the language codes you specified in your request.
(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
.(dict) –
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) –
The tags, each in the form of a key:value pair, assigned to the specified transcription job.
(dict) –
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 (dict) –
Indicates whether subtitles were generated with your transcription.
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 includedOutputKey
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, andTranscriptFileUri
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 aGetTranscriptionJob
orListTranscriptionJob
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 (dict) –
Provides the name and language of all custom language models, custom vocabularies, and custom vocabulary filters that you included in your request.
(string) –
(dict) –
If using automatic language identification 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
, andVocabularyFilterName
). Note that multi-language identification (IdentifyMultipleLanguages
) doesn’t support custom language models.LanguageIdSettings
supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.It’s recommended that you include
LanguageOptions
when usingLanguageIdSettings
to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is inen-US
but Amazon Transcribe determines that the language spoken in your media isen-AU
, your custom vocabulary is not applied to your transcription. If you includeLanguageOptions
and includeen-US
as the only English language dialect, your custom vocabulary is applied to your transcription.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 theVocabularyName
orVocabularyFilterName
(or both) sub-parameter.VocabularyName (string) –
The name of the custom vocabulary you want to use when processing your transcription job. Custom vocabulary names are case sensitive.
The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages don’t match, the custom 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. Custom vocabulary filter names are case sensitive.
The language of the specified custom vocabulary filter must match the language code that you specify in your transcription request. If the languages don’t match, the custom 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 includeVocabularyFilterMethod
.LanguageModelName (string) –
The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages don’t match, the custom language model isn’t applied. There are no errors or warnings associated with a language mismatch.
Exceptions
TranscribeService.Client.exceptions.BadRequestException
TranscribeService.Client.exceptions.LimitExceededException
TranscribeService.Client.exceptions.InternalFailureException
TranscribeService.Client.exceptions.NotFoundException