openai-whisper

To transcribe audio files locally without an API key, use the Whisper CLI to process speech-to-text directly on your machine. This approach enables on-device audio processing and ensures data privacy for interviews, lectures, or voice notes.

Yes, you can translate spoken audio from one language to another locally. The Skill uses the Whisper CLI to perform translation alongside speech-to-text transcription, allowing you to process foreign language audio files directly on your computer.

The best way to get a transcript from a recorded meeting for notes is using local speech-to-text processing. By applying the Whisper CLI to your audio file, you can output the result as a text file without relying on cloud services.

No, you do not need cloud services or external dependencies for speech-to-text transcription. This Skill provides an API-key-free solution, allowing you to convert spoken audio into written text entirely on your own machine.

To start transcribing an audio file using the medium model, apply the Whisper CLI to your audio file located at a specific path. This local speech-to-text process outputs the transcribed result directly as a text file.