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GET
Get Transcription Job by ID

Overview

This endpoint retrieves the current status and results of a transcription job using its unique job ID. While processing is in progress, it returns the current job status. Once the job completes, it returns the full transcript data including word-level timing, speaker identification, and subtitle formats (SRT, VTT).
A valid API key is required to use this endpoint. Obtain your API key from the API Access page in your Pictory dashboard.

API Endpoint


Request Parameters

Path Parameters

uuid
required
The unique identifier (UUID) of the transcription job. This value is the jobId returned by the Video Transcription endpoint.Example: "cbbc5305-3c1c-46f0-bdde-468e5ecd763f"

Headers

string
required
API key for authentication (starts with pictai_)

Response

In-Progress Response

Returned while the transcription is still being processed:
string
The unique identifier of the transcription job
boolean
true while the job is processing
object
string
"in-progress": transcription is still being processed

Completed Response

Returned when the transcription has finished successfully. The response contains the full transcript data:
boolean
true when the job has completed successfully
string
The unique identifier of the transcription job
object
Contains the complete transcription results.

Response Examples


Code Examples

Replace YOUR_API_KEY with your actual API key and use the jobId returned from the Video Transcription endpoint.

Understanding the Transcript Response

The completed transcription response includes several output formats:

Pause Markers

The transcript array includes pause markers alongside spoken words. These entries are identified by the following characteristics:
  • is_pause is set to true
  • The word field contains an empty string
  • pause_size indicates the duration category (e.g., "small")
Pause markers are useful for understanding speech pacing and can be leveraged when building transcript-based editing workflows.

Polling Best Practices

Use a polling interval of 10–30 seconds when checking job status. Polling too frequently may result in rate limiting.
  1. Use webhooks when possible. Configure a webhook URL in the transcription request to receive automatic notification when the job completes, rather than polling.
  2. Implement timeouts. Set a maximum wait time based on the expected file duration. Longer files require more processing time.
  3. Handle all states. Verify both the in-progress status and the presence of transcript data in the response to determine completion.
  4. Cache results. Once a transcription job completes, store the results locally. Completed job data may be cleaned after a retention period.