transcription

name	transcription
description	Use when the user wants to transcribe audio files (MP3, WAV, M4A) to text using MLX Whisper on Apple Silicon

Audio Transcription

Fast local transcription using MLX Whisper with Apple Silicon GPU/Neural Engine acceleration.

Requirements

• Apple Silicon Mac (M1+)
• Python 3.11+ with mlx-whisper package
• Model: mlx-community/whisper-large-v3-turbo (auto-downloaded on first use)

Usage

The script at ${CLAUDE_PLUGIN_ROOT}/scripts/transcribe.py processes MP3/WAV/M4A files:

python3 ${CLAUDE_PLUGIN_ROOT}/scripts/transcribe.py /path/to/audio/files/

• Processes all audio files in the given directory
• Outputs transcription text to stdout
• Reports timing statistics per file

Setup

python3 -m venv .venv
source .venv/bin/activate
pip install mlx-whisper