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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.

Datos de origen

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ThinkfleetAI/thinkfleet-engine
Última actividad en el origen
1 de febrero de 2026 a las 21:09
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SKILL.md
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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 ```bash 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 ```bash transcribe /path/to/audio.mp3 [language] ``` - Default language: `es` (Spanish) - Use `auto` for auto-detection - Outputs plain text to stdout ## Examples ```bash 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
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