Voice to Text Converter
Add a voice note or recording — MP3, M4A, WAV, OGG or WebM — choose the language or leave it on automatic, and press Transcribe. Whisper speech recognition runs on your device: only the model downloads, about 40 or 80 MB once, and the audio is never uploaded. Clips can be up to 10 minutes long.
Updated
How to use the Voice to Text Converter
- 1Add an audio file — a WhatsApp or Telegram voice note, a phone recording, or an MP3, M4A, WAV, OGG or WebM clip.
- 2Choose the language, or leave it on automatic, and pick the faster or more accurate model.
- 3Press Transcribe. The first time, the model downloads; after that it is cached.
- 4Copy the text or download it — with timestamps and subtitles if you turned them on.
How it works
Transcription uses Whisper, OpenAI's open-source speech recognition model, converted to run in the browser with Transformers.js and ONNX Runtime Web. Your browser first decodes the audio file and resamples it to 16 kHz mono, the format Whisper expects; the model then turns 30-second windows of sound into text, overlapping them slightly so words at the edges are not lost.
The model files are the only thing downloaded — about 40 MB for the faster model and about 80 MB for the more accurate one — fetched once from Hugging Face and then cached by the browser. The audio itself stays on your device and is not sent to this site, OpenAI or anyone else, which matters for private voice messages.
Recognition runs on your own processor in a background thread, so a one-minute clip can take a few seconds on a recent laptop and a minute or more on an older phone. Clips up to 10 minutes are accepted.
Whisper is accurate on clear speech but can mishear names and specialist terms, struggles when people talk over each other, and occasionally invents words during long silences. Read the transcript before relying on it.
Tips and common mistakes
- Clear recordings transcribe best: one speaker at a time, close to the microphone, with little background noise.
- Choose the language when you know it; automatic detection can be thrown by a short clip.
- Use the more accurate model for names, numbers and specialist terms, and the faster one for quick notes.
- Read the transcript before relying on it, especially names and figures.