openai-whisper

You can transcribe audio to text locally without an API key by running the Whisper CLI binary directly on your audio files. The tool processes various audio formats entirely offline on your device, requiring no external API authentication.

Yes, you can translate speech to text offline using Whisper CLI. By applying the --task translate command, the tool translates spoken audio into text locally on your device without requiring an internet connection or API key.

Yes, local speech-to-text transcription requires the Whisper binary to be installed and accessible in your system PATH. Model caches and downloads are automatically stored under your user home directory during the processing of audio files.

The best way to generate offline subtitles and meeting notes is by using the Whisper CLI for local transcription. It supports selecting different model sizes, from small to large, to balance processing speed and accuracy for your archival indexing tasks.

Yes, local audio transcription supports multiple languages and various audio formats. The Whisper CLI processes diverse audio inputs entirely offline, allowing you to select appropriate models to handle different languages and optional speech translation tasks effectively.