Prompt

batch audio transcription api webhook

Artificial Intelligence / Speech & Voice AI1 observationLast seen Oct 11, 2026

Latest observation

Oct 11, 2026OpenAI APIWeb search: off

If you want a batch audio transcription API with webhook callbacks, the usual pattern is:

  1. Upload audio files or provide URLs
  2. Create a transcription job
  3. API processes files asynchronously
  4. Webhook notifies you when each file or the whole batch is done

Typical API design

1) Create a batch job

POST /transcriptions/batch

Request

{
  "files": [
    { "url": "https://example.com/audio1.mp3" },
    { "url": "https://example.com/audio2.wav" }
  ],
  "language": "en",
  "webhook_url": "https://yourapp.com/webhooks/transcription"
}

Response

{
  "batch_id": "batch_123",
  "status": "queued"
}

2) Webhook callback

When each transcript is ready, the API sends a POST to your webhook endpoint:

POST /webhooks/transcription

Payload

{
  "batch_id": "batch_123",
  "file_id": "file_1",
  "status": "completed",
  "transcript": "Hello world...",
  "confidence": 0.98
}

Or if you prefer a batch-level completion event:

{
  "batch_id": "batch_123",
  "status": "completed",
  "results": [
    {
      "file_id": "file_1",
      "transcript": "..."
    },
    {
      "file_id": "file_2",
      "transcript": "..."
    }
  ]
}

Recommended webhook fields

Include:

  • event_id
  • batch_id
  • file_id
  • status
  • transcript or result_url
  • error if failed
  • created_at
  • signature for verification

Example:

{
  "event_id": "evt_456",
  "batch_id": "batch_123",
  "file_id": "file_1",
  "event": "transcription.completed",
  "status": "completed",
  "result_url": "https://api.example.com/results/file_1",
  "created_at": "2026-10-11T12:00:00Z"
}

Important webhook best practices

  • Verify signatures to confirm requests are from the API
  • Retry on failures with exponential backoff
  • Make webhooks idempotent using event_id
  • Respond with 2xx quickly
  • Store results and process asynchronously on your side

If you’re building this API

A simple architecture:

  • API server accepts batch request
  • Queue workers handle transcription
  • Result store saves transcripts
  • Webhook sender posts completion events
  • Retry system handles webhook failures

If you want a specific implementation

I can help you with any of these:

  • Node.js webhook + batch transcription backend
  • Python/FastAPI example
  • OpenAPI spec
  • AWS/S3 + SQS architecture
  • Using OpenAI/Whisper for transcription
  • Webhook signature verification code

If you want, I can draft a full batch transcription API spec with webhook callbacks.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

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