mlx-whisper

What problem does it solve?

This Skill provides a significantly faster, privacy-preserving, and offline alternative to cloud-based speech-to-text services by leveraging Apple Silicon's MLX framework.

Core Features & Use Cases

• Local Speech-to-Text: Transcribes audio files directly on your machine without internet connectivity.
• High Speed: Achieves up to 10x faster transcription speeds compared to standard OpenAI Whisper.
• Privacy Focused: Keeps all audio data and transcriptions local, ensuring data privacy.
• Use Case: Quickly convert voice memos, meeting recordings, or any audio file into text for documentation, note-taking, or further processing, all while maintaining data security.

Quick Start

Use the mlx-whisper skill to transcribe the audio file named 'meeting_recording.mp3'.