Speech to text

Get transcription job

Get one async transcription job by ID. Poll this endpoint after calling async-transcribe until status is completed, then read the transcription from result. Authenticate with the X-API-Key header.

GET

https://api.nabrah.ai/api/ext/stt/jobs/{job_id}

curl --request GET \
  --url 'https://api.nabrah.ai/api/ext/stt/jobs/<job_id>' \
  --header 'X-API-Key: <your-api-key>'

{
  "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
  "status": "completed",
  "project_id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
  "result": {
    "text_result": "string",
    "audio_duration": 0,
    "timestamps": {
      "timestep": [
        0
      ],
      "char": [],
      "word": [],
      "segment": []
    }
  },
  "created_at": "2026-07-23T12:00:00Z",
  "updated_at": "2026-07-23T12:00:00Z",
  "filename": "recording.mp3"
}

Response shape

One job record with its current status and, once finished, the transcription.

status

queued, in_progress, completed, failed, or canceled.

result

null until the job completes. On completion it contains text_result (the transcription), audio_duration, and timestamps (same timing structure as the synchronous transcribe endpoint).

text_resultaudio_durationtimestamps

filename

The original uploaded audio filename.

recognition_config

The recognition settings the job was queued with: recognition_model, end_of_utterance_silence_ms, priority_words and priority_words_strength.

recognition_config

Authorization

X-API-Keystringheaderrequired

Your workspace API key. Create one in the dashboard under API keys.

Path parameters

job_idstringrequired

The job ID returned by the async-transcribe endpoint.

Response

200

Successful Response

application/json

422

Validation Error

application/json