Cloudflare Whisper Worker

Transcribe audio using a deployed Cloudflare Worker Whisper endpoint. Use when converting voice/audio files (wav, mp3, m4a, ogg, webm) to text through the cu...

Use this skill to transcribe audio through the deployed Whisper Worker API.

Endpoint

• Base URL: https://lotfi-whisper-worker.medtouradmin.workers.dev
• Route: POST /transcribe
• Auth: Authorization: Bearer <API_TOKEN>
• Body: raw audio bytes (--data-binary @file)

Required environment variable

Set token once per shell:

export WHISPER_WORKER_TOKEN="<your_token>"

Transcribe a file (JSON response)

curl -sS -X POST "https://lotfi-whisper-worker.medtouradmin.workers.dev/transcribe" \
  -H "content-type: audio/wav" \
  -H "authorization: Bearer $WHISPER_WORKER_TOKEN" \
  --data-binary "@audio.wav"

Transcribe and return only text

curl -sS -X POST "https://lotfi-whisper-worker.medtouradmin.workers.dev/transcribe" \
  -H "content-type: audio/wav" \
  -H "authorization: Bearer $WHISPER_WORKER_TOKEN" \
  --data-binary "@audio.wav" \
| jq -r '.result.text // .text // .result.response // empty'

Content-Type guide

• WAV: audio/wav
• MP3: audio/mpeg
• M4A: audio/mp4
• OGG/OPUS: audio/ogg
• WEBM: audio/webm

Common errors

• 401 Unauthorized: missing/invalid bearer token
• 400 Empty audio body: file path wrong or empty file
• 400 Send raw audio...: invalid content-type header
• 500: worker/runtime/model error; retry and inspect full JSON