{"library":"mlx-whisper","title":"mlx-whisper","description":"mlx-whisper is a fast implementation of OpenAI's Whisper model optimized for Apple Silicon (M1/M2/M3) using Apple's MLX framework. Version 0.4.3 supports transcription, language detection, and word-level timestamps with Hugging Face Hub integration. Updates are frequent, roughly weekly.","language":"python","status":"active","last_verified":"Fri May 01","install":{"commands":["pip install mlx-whisper"],"cli":{"name":"mlx_whisper","version":""}},"imports":["from mlx_whisper import load_audio","from mlx_whisper import transcribe"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"from mlx_whisper import transcribe\nresult = transcribe(\"audio.mp3\")\nprint(result[\"text\"])","lang":"python","description":"Transcribe an audio file (supported formats: .mp3, .wav, .m4a, .flac, .ogg).","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}