asr-transcribe-to-text

Yes, you can transcribe audio and video offline using local MLX mode on Apple Silicon devices, which automatically optimizes the path and persists your configuration for future offline speech-to-text sessions.

Yes, this speech-to-text tool supports remote API processing, enabling scalable cloud transcription for audio and video files when local resources are limited or when handling large volumes of recordings.

Yes, you can use ASR transcription for screen recordings and interviews, as the tool quickly converts spoken content into text for easy search, note-taking, and analysis across various media formats.

Yes, you need an Apple Silicon device for local MLX audio transcription, because the local inference path relies on the mlx-audio dependency to process speech-to-text tasks offline with platform auto-detection.

The best way to switch between local and remote ASR is using the built-in platform auto-detection, which automatically chooses the optimal transcription path and persists the configuration for your future sessions.