WhisperWeb converts audio and video files into text or subtitles locally in your browser using Whisper models without uploading recordings.
What it is
WhisperWeb is a browser-based workspace designed for speech recognition and subtitle management. Built around open-source Whisper models from OpenAI, it runs processing directly on your device rather than sending files to a cloud service. Users can select local audio or video files, review transcripts in real time, edit text and timing segments, and export results without registering an account.
Key features
- Local browser processing ensures audio files remain on your device without cloud uploads
- Multiple OpenAI Whisper model sizes including tiny, base, and small options
- Subtitle generation and file conversion between SRT and VTT formats
- Built-in review workspace for editing words and start or end timestamps
- Free exports for plain text TXT files and timed subtitle tracks
- Support for multiple spoken languages with optional translation to English
Who it's for
WhisperWeb serves podcasters, journalists, researchers, and video editors who need to convert interviews, meetings, lectures, or media recordings into editable text and captions while maintaining local control over sensitive audio data.
Pricing
Free. All transcription, subtitle generation, and format conversion features are available at no cost without requiring user registration.
