Use ListTranscriptionJobs with an AWS SDK or CLI - AWS SDK Code Examples

There are more AWS SDK examples available in the AWS Doc SDK Examples GitHub repo.

Use ListTranscriptionJobs with an AWS SDK or CLI

The following code examples show how to use ListTranscriptionJobs.

.NET
AWS SDK for .NET
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

/// <summary> /// List transcription jobs, optionally with a name filter. /// </summary> /// <param name="jobNameContains">Optional name filter for the transcription jobs.</param> /// <returns>A list of transcription job summaries.</returns> public async Task<List<TranscriptionJobSummary>> ListTranscriptionJobs(string? jobNameContains = null) { var response = await _amazonTranscribeService.ListTranscriptionJobsAsync( new ListTranscriptionJobsRequest() { JobNameContains = jobNameContains }); return response.TranscriptionJobSummaries; }
CLI
AWS CLI

To list your transcription jobs

The following list-transcription-jobs example lists the transcription jobs associated with your AWS account and Region.

aws transcribe list-transcription-jobs

Output:

{ "NextToken": "NextToken", "TranscriptionJobSummaries": [ { "TranscriptionJobName": "speak-id-job-1", "CreationTime": "2020-08-17T21:06:15.391000+00:00", "StartTime": "2020-08-17T21:06:15.416000+00:00", "CompletionTime": "2020-08-17T21:07:05.098000+00:00", "LanguageCode": "language-code", "TranscriptionJobStatus": "COMPLETED", "OutputLocationType": "SERVICE_BUCKET" }, { "TranscriptionJobName": "job-1", "CreationTime": "2020-08-17T20:50:24.207000+00:00", "StartTime": "2020-08-17T20:50:24.230000+00:00", "CompletionTime": "2020-08-17T20:52:18.737000+00:00", "LanguageCode": "language-code", "TranscriptionJobStatus": "COMPLETED", "OutputLocationType": "SERVICE_BUCKET" }, { "TranscriptionJobName": "sdk-test-job-4", "CreationTime": "2020-08-17T20:32:27.917000+00:00", "StartTime": "2020-08-17T20:32:27.956000+00:00", "CompletionTime": "2020-08-17T20:33:15.126000+00:00", "LanguageCode": "language-code", "TranscriptionJobStatus": "COMPLETED", "OutputLocationType": "SERVICE_BUCKET" }, { "TranscriptionJobName": "Diarization-speak-id", "CreationTime": "2020-08-10T22:10:09.066000+00:00", "StartTime": "2020-08-10T22:10:09.116000+00:00", "CompletionTime": "2020-08-10T22:26:48.172000+00:00", "LanguageCode": "language-code", "TranscriptionJobStatus": "COMPLETED", "OutputLocationType": "SERVICE_BUCKET" }, { "TranscriptionJobName": "your-transcription-job-name", "CreationTime": "2020-07-29T17:45:09.791000+00:00", "StartTime": "2020-07-29T17:45:09.826000+00:00", "CompletionTime": "2020-07-29T17:46:20.831000+00:00", "LanguageCode": "language-code", "TranscriptionJobStatus": "COMPLETED", "OutputLocationType": "SERVICE_BUCKET" } ] }

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

Java
SDK for Java 2.x
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

public class ListTranscriptionJobs { public static void main(String[] args) { TranscribeClient transcribeClient = TranscribeClient.builder() .region(Region.US_EAST_1) .build(); listTranscriptionJobs(transcribeClient); } public static void listTranscriptionJobs(TranscribeClient transcribeClient) { ListTranscriptionJobsRequest listJobsRequest = ListTranscriptionJobsRequest.builder() .build(); transcribeClient.listTranscriptionJobsPaginator(listJobsRequest).stream() .flatMap(response -> response.transcriptionJobSummaries().stream()) .forEach(jobSummary -> { System.out.println("Job Name: " + jobSummary.transcriptionJobName()); System.out.println("Job Status: " + jobSummary.transcriptionJobStatus()); System.out.println("Output Location: " + jobSummary.outputLocationType()); // Add more information as needed // Retrieve additional details for the job if necessary GetTranscriptionJobResponse jobDetails = transcribeClient.getTranscriptionJob( GetTranscriptionJobRequest.builder() .transcriptionJobName(jobSummary.transcriptionJobName()) .build()); // Display additional details System.out.println("Language Code: " + jobDetails.transcriptionJob().languageCode()); System.out.println("Media Format: " + jobDetails.transcriptionJob().mediaFormat()); // Add more details as needed System.out.println("--------------"); }); } }
JavaScript
SDK for JavaScript (v3)
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

List transcription jobs.

// Import the required AWS SDK clients and commands for Node.js import { ListTranscriptionJobsCommand } from "@aws-sdk/client-transcribe"; import { transcribeClient } from "./libs/transcribeClient.js"; // Set the parameters export const params = { JobNameContains: "KEYWORD", // Not required. Returns only transcription // job names containing this string }; export const run = async () => { try { const data = await transcribeClient.send( new ListTranscriptionJobsCommand(params), ); console.log("Success", data.TranscriptionJobSummaries); return data; // For unit tests. } catch (err) { console.log("Error", err); } }; run();

Create the client.

import { TranscribeClient } from "@aws-sdk/client-transcribe"; // Set the AWS Region. const REGION = "REGION"; //e.g. "us-east-1" // Create an Amazon Transcribe service client object. const transcribeClient = new TranscribeClient({ region: REGION }); export { transcribeClient };
Python
SDK for Python (Boto3)
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

def list_jobs(job_filter, transcribe_client): """ Lists summaries of the transcription jobs for the current AWS account. :param job_filter: The list of returned jobs must contain this string in their names. :param transcribe_client: The Boto3 Transcribe client. :return: The list of retrieved transcription job summaries. """ try: response = transcribe_client.list_transcription_jobs(JobNameContains=job_filter) jobs = response["TranscriptionJobSummaries"] next_token = response.get("NextToken") while next_token is not None: response = transcribe_client.list_transcription_jobs( JobNameContains=job_filter, NextToken=next_token ) jobs += response["TranscriptionJobSummaries"] next_token = response.get("NextToken") logger.info("Got %s jobs with filter %s.", len(jobs), job_filter) except ClientError: logger.exception("Couldn't get jobs with filter %s.", job_filter) raise else: return jobs