openai-whisper

You can transcribe audio locally on Apple Silicon without an API key by running the provided run.sh script with your media file, which uses the mlx-whisper runtime to process recordings entirely offline.

Yes, mlx-whisper supports batch processing and is optimized for Apple Silicon performance, making it suitable for transcribing long video recordings entirely offline without requiring external APIs.

Offline audio-to-text transcription supports plain text or JSON outputs, allowing for easy downstream processing and integration of the transcribed speech data into everyday workflows.

Local transcription with mlx-whisper protects privacy by processing audio and video files entirely on your machine without an internet connection, preventing sensitive media from being sent to external cloud APIs.

The best way to run offline transcription for multimodal media on macOS is using the Python-based transcribe_mlx.py pipeline, which loads MLX Whisper models to transcribe audio and video locally on Apple Silicon.

No, you do not need an internet connection to use MLX Whisper for speech-to-text, as the runtime loads models locally and performs all transcription offline on your Apple Silicon device.