openai-whisper

You can transcribe audio offline without an API key by using the Whisper CLI to process local recordings. This approach ensures privacy by keeping data entirely local without exposing it to external services.

Yes, local transcription of meeting recordings is supported to preserve privacy and security. The Whisper CLI converts your local audio files into searchable text transcripts for archiving or analysis.

Yes, offline transcription requires a Whisper binary and a local model to function. Downloaded models are cached locally at ~/.cache/whisper for subsequent offline speech-to-text processing.

The best way to convert podcasts to text without external APIs is using offline speech-to-text processing. The Whisper CLI supports flexible model selection to output text or subtitles from your local audio files.

Yes, offline transcription supports different Whisper models for flexible processing. You can select your preferred local model to output text or subtitles depending on your accuracy and speed requirements.