Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key).
Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key).
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Local speech-to-text using Apple MLX, optimized for Apple Silicon Macs.
mlx_whisper /path/to/audio.mp3 --model mlx-community/whisper-large-v3-turbo
# 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
ModelSizeSpeedQualitymlx-community/whisper-tiny~75MBFastestBasicmlx-community/whisper-base~140MBFastGoodmlx-community/whisper-small~470MBMediumBettermlx-community/whisper-medium~1.5GBSlowerGreatmlx-community/whisper-large-v3~3GBSlowestBestmlx-community/whisper-large-v3-turbo~1.6GBFastExcellent (Recommended)
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
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.