How to convert speech to text online
- Choose your language from the selector so the recognizer knows what to listen for.
- Press start and speak — the transcript builds live, with a timestamp on every line. Press again to stop.
- Have a recording instead? Use the on-device Whisper AI transcription to turn audio files into text without uploading them.
- Export the finished transcript as plain TXT or as SRT subtitles with timecodes.
This speech to text online tool covers both halves of transcription: live dictation when the words are still in your head, and AI transcription when they are already trapped in a recording. Students dictate notes faster than they could type them, podcasters pull quotes and show notes from episodes, and video creators generate SRT subtitle files in minutes instead of typing timecodes by hand. The Whisper AI engine runs on your own device, so interviews, meetings and voice memos stay private — and everything is free, with no signup and no per-minute billing.
FAQ
How do I transcribe speech to text for free?
Pick your language, press start and talk — the transcript appears live, line by line, with a timestamp on every entry. You can also transcribe existing recordings with the on-device Whisper AI mode. Both are free, with no account and no usage caps.
Is my voice sent to a server for transcription?
The Whisper AI mode runs the model entirely on your device, so audio files never leave your browser. Live mic mode uses your browser's built-in speech recognition, which in some browsers (like Chrome) processes audio through the browser vendor's speech service.
Can I export subtitles for my videos?
Yes — alongside plain TXT, the transcript exports as an SRT subtitle file with proper sequence numbers and timecodes, ready to load into video editors, YouTube or any player that supports subtitles.
How accurate is the transcription?
With a decent microphone, clear speech and little background noise, accuracy is high for everyday language. Heavy accents, crosstalk, technical jargon and noisy rooms lower it — a quick pass with the noise remover before transcribing a file often helps.