openai-whisper

You can transcribe audio locally without an API key by invoking the Whisper CLI, which processes files offline. This approach ensures privacy for note-taking and media analysis by keeping all data on your machine without requiring internet access.

Yes, Whisper supports offline speech-to-text transcription by utilizing local models cached in ~/.cache/whisper. It performs processing entirely on your machine, making it suitable for private podcast transcription and media analysis where internet access is unavailable.

Yes, you need the whisper binary and local models installed to transcribe audio files using this method. The required models download automatically to ~/.cache/whisper, enabling offline transcription without external API calls or internet connectivity.

The Whisper CLI supports multiple output formats including txt and srt files for audio transcription. You can select your desired format when running the transcription process, allowing flexibility for note-taking or generating subtitle files.

Local speech-to-text processing supports multiple Whisper models such as medium and large. The default model may vary depending on your installation, and all models are cached locally in ~/.cache/whisper for subsequent offline transcription tasks.

Offline transcription provides privacy-first speech-to-text processing by keeping all audio data local without external calls. This approach is ideal for sensitive media analysis and private note-taking where data security and confidentiality are primary concerns.