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Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key).
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
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| name | mlx-whisper |
| description | Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key). |
| metadata | {"homepage":"https://github.com/ml-explore/mlx-examples/tree/main/whisper","dependencies":{"mlx_whisper":{"description":"MLX Whisper CLI","check":"which mlx_whisper","install":"pip install mlx-whisper"}}} |
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
| 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) |
~/.cache/huggingface/mlx-community/whisper-tiny; use --model mlx-community/whisper-large-v3-turbo for best results