openai-whisper

Local speech-to-text transcription can be performed directly on your machine using the OpenAI Whisper CLI. It processes audio files offline, ensuring all your spoken audio data remains completely private on your local drive.

Offline speech-to-text transcription supports various audio input formats for processing. The transcription output can be generated as either a plain text file or an SRT subtitle format, depending on your documentation or subtitle requirements.

Yes, local transcription requires the Whisper binary to be installed and accessible in your system's PATH. This local installation is what enables the offline audio processing and translation tasks without relying on external APIs.

Yes, you can transcribe a local meeting recording into SRT subtitle format using the Whisper CLI. By specifying the audio file path and desired model, the transcription process outputs timestamped subtitles suitable for video documentation.

The best way to ensure privacy during speech-to-text conversion is to use local offline transcription. By processing audio files entirely on your own machine with the Whisper CLI, you prevent sensitive meeting or voice data from being sent to external cloud APIs.

To transcribe an mp3 file locally, use the Whisper CLI and specify the audio file path along with your desired model, such as the medium model. The CLI processes the audio offline and outputs the resulting transcription as a text file.