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Bereitstellung und Betrieb · SKILL.md

transcribe

transcribe

Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill-Dokumentation

GitHub

name: transcribe description: Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.

Transcribe

Local audio transcription using faster-whisper in Docker.

Installation

cd /path/to/skills/transcribe/scripts
chmod +x install.sh
./install.sh

This builds the Docker image whisper:local and installs the transcribe CLI.

Usage

transcribe /path/to/audio.mp3 [language]
  • Default language: es (Spanish)
  • Use auto for auto-detection
  • Outputs plain text to stdout

Examples

transcribe /tmp/voice.ogg          # Spanish (default)
transcribe /tmp/meeting.mp3 en     # English
transcribe /tmp/audio.m4a auto     # Auto-detect

Supported Formats

mp3, m4a, ogg, wav, webm, flac, aac

When Receiving Voice Messages

  1. Save the audio attachment to a temp file
  2. Run transcribe <path>
  3. Include the transcription in your response
  4. Clean up the temp file

Files

  • scripts/transcribe - CLI wrapper (bash)
  • scripts/install.sh - Installation script (includes Dockerfile inline)

Notes

  • Model: small (fast) - edit install.sh for large-v3 (accurate)
  • Fully local, no API key needed
Gespeicherte Skills