Audio to Text Transcription Online Free
Runs 100% in your browser — your files never leave your device.
Interviews, voice memos, meeting recordings, and lecture captures all become searchable text without a single byte leaving your machine. A speech-recognition model runs entirely in your browser: drop an audio file, let it load once, and copy or download the transcript. Private by architecture, not just by promise.
How it works
- 1
Add your file
Drop it into the box or click to browse. The file never leaves your device.
- 2
Run the on-device model
The first run includes a quick one-time setup — every run after that starts instantly. Setup begins as soon as your file is added.
- 3
Save the result
Download or copy the finished output instantly — nothing was ever uploaded.
About this tool
How the transcription works
A speech-recognition model runs entirely in your browser: drop an audio file, the model loads once (about 80 MB), and the transcription appears with nothing sent to any server. After the one-time setup, the tool works even offline — your recordings are processed on your own device from start to finish.
What transcribes well
Clear speech at steady volume — interviews, voice memos, lectures, meeting recordings — transcribes with high accuracy. Heavy background music, crosstalk, and strong accents produce rougher output; the transcript remains fully editable, so fixes are always a rewrite away.
From transcript to usable text
The output is plain text: quote it, edit it, feed it onward. Common next steps run through the summarizer for long recordings, the grammar fixer for cleanup, and the word counter to check limits.
Frequently asked questions
Is my recording uploaded anywhere?
No — the speech model runs in your browser after a one-time download. Your recording is transcribed on your own device and never sent anywhere.
What formats and lengths work?
MP3, WAV, M4A, OGG, FLAC, and video containers with audio. Practical sessions run to roughly an hour; transcription takes a fraction of the audio length.
Which languages does it support?
The on-device model handles English best and common European languages decently. Dense technical vocabulary and heavy accents produce rougher output that stays editable.