name: telegram-voice-transcribe description: "Transcribe Telegram voice messages and audio notes into text using the OpenAI Whisper API. Use when (1) a user sends a voice message or audio note via Telegram and you need to read or understand its content, (2) you receive a message with a voice file_id in the Telegram message metadata, (3) the user explicitly asks you to transcribe an audio file. Produces the transcript as plain text so you can respond naturally. Requires OPENAI_API_KEY env var and optionally TELEGRAM_BOT_TOKEN for file_id mode. NOT for live audio streams, video transcription, or non-Telegram audio pipelines (though the script supports local files and URLs too)."

telegram-voice-transcribe

Transcribe Telegram voice notes into text via OpenAI Whisper (whisper-1).

Quick Workflow

1. Detect a voice message: look for voice.file_id or audio.file_id in the inbound message metadata.
2. Run the transcription script:

   python3 ~/openclaw/skills/telegram-voice-transcribe/scripts/transcribe.py \
     --file-id <file_id> --language es
   

3. Read the JSON output — transcript field contains the text.
4. Respond to the user based on the transcript content (treat it like typed text).

Script Modes

Always pass --language es for Spanish speakers to improve speed and accuracy.

Output

{"transcript": "Hola, necesito que hagas un cambio en el juego", "language": "es", "duration_s": 4.2}

If error key is present, surface it to the user and check setup.

Environment Requirements

• OPENAI_API_KEY — required (set via openclaw configure)
• TELEGRAM_BOT_TOKEN — required for --file-id mode

See references/setup.md for full setup, hooks integration, costs, and local Whisper alternative.

Error Handling