audio transcription api with webhooks

If you want an audio transcription API with webhooks, the basic pattern is:

1. Upload audio to the API
2. Receive a job ID
3. Get notified via webhook when transcription is done
4. Fetch the transcript from the job result endpoint

Common options

A few services that support this flow:

• AssemblyAI — transcription + webhook callbacks
• Deepgram — async transcription with webhooks
• Rev AI — async jobs + webhooks
• Speechmatics — supports async processing and callbacks
• OpenAI — transcription APIs exist, but webhook-style async job callbacks are not the typical built-in pattern

Typical webhook workflow

1) Create a transcription job

POST /transcriptions

Example request:

{
  "audio_url": "https://example.com/audio.mp3",
  "webhook_url": "https://yourapp.com/webhooks/transcription"
}

2) API responds immediately

{
  "job_id": "abc123",
  "status": "processing"
}

3) Webhook is sent when done

{
  "job_id": "abc123",
  "status": "completed",
  "transcript_url": "https://api.service.com/transcripts/abc123"
}

4) Your app fetches transcript

GET /transcriptions/abc123

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What to look for in an API

When choosing one, check for:

• Webhook signing / verification
• Async job support
• Timestamped transcripts
• Speaker diarization
• Streaming vs batch transcription
• Language support
• File size limits
• Retry behavior for webhooks

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If you want to build it yourself

Your backend should expose a webhook endpoint like:

from flask import Flask, request

app = Flask(__name__)

@app.post("/webhooks/transcription")
def transcription_webhook():
    data = request.json
    if data["status"] == "completed":
        print("Transcript:", data["transcript"])
    return {"ok": True}

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Recommendation

If you want a straightforward production-ready solution with webhooks, AssemblyAI and Deepgram are usually the first places to check.

If you want, I can also give you:

• a comparison table
• a Node.js or Python example
• or help you pick the best one for your use case.