mlx-whisper – OpenClaw Skill

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name: mlx-whisper version: 1.0.0 description: Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key). homepage: https://github.com/ml-explore/mlx-examples/tree/main/whisper metadata: {"clawdbot":{"emoji":"🍎","requires":{"bins":["mlx_whisper"]},"install":[{"id":"pip","kind":"pip","package":"mlx-whisper","bins":["mlx_whisper"],"label":"Install mlx-whisper (pip)"}]}}

MLX Whisper

Local speech-to-text using Apple MLX, optimized for Apple Silicon Macs.

Quick Start

mlx_whisper /path/to/audio.mp3 --model mlx-community/whisper-large-v3-turbo

Common Usage

# Transcribe to text file
mlx_whisper audio.m4a -f txt -o ./output

# Transcribe with language hint
mlx_whisper audio.mp3 --language en --model mlx-community/whisper-large-v3-turbo

# Generate subtitles (SRT)
mlx_whisper video.mp4 -f srt -o ./subs

# Translate to English
mlx_whisper foreign.mp3 --task translate

Models (download on first use)

Model	Size	Speed	Quality
mlx-community/whisper-tiny	~75MB	Fastest	Basic
mlx-community/whisper-base	~140MB	Fast	Good
mlx-community/whisper-small	~470MB	Medium	Better
mlx-community/whisper-medium	~1.5GB	Slower	Great
mlx-community/whisper-large-v3	~3GB	Slowest	Best
mlx-community/whisper-large-v3-turbo	~1.6GB	Fast	Excellent (Recommended)

Notes

• Requires Apple Silicon Mac (M1/M2/M3/M4)
• Models cache to ~/.cache/huggingface/
• Default model is mlx-community/whisper-tiny; use --model mlx-community/whisper-large-v3-turbo for best results