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Speech & Transcription @kevin37li Updated 2/26/2026

🍎 Mlx Whisper OpenClaw Skill - ClawHub

Do you want your AI agent to automate Mlx Whisper workflows? This free skill from ClawHub helps with speech & transcription tasks without building custom tools from scratch.

What this skill does

Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key).

Install

npx clawhub@latest install mlx-whisper

Full SKILL.md

Open original
nameversiondescriptionhomepage
mlx-whisper1.0.0Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key).https://github.com/ml-explore/mlx-examples/tree/main/whisper

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
Original URL: https://github.com/openclaw/skills/blob/main/skills/kevin37li/mlx-whisper

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