What the tool does
The tool turns speech from audio into editable text with a browser-based Whisper model. Before transcription, the browser may prepare audio through a WASM decoder, download the model, and then use your computer or phone resources.
How to use it
- Add an audio file in a format supported by your browser.
- Choose a speech language, or keep automatic detection.
- Start transcription and watch the stages: audio preparation, model loading, recognition, and result.
- Review the text, edit it if needed, then copy it or download a TXT file.
Formats, speech quality, and accuracy
The transcriber is useful for voice notes, interviews, lectures, podcasts, and messenger audio. MP3, WAV, M4A, OGG, WebM, and other files usually work when the browser or the WASM decoder can read them. After opening, the sound is prepared for recognition, so clear speech matters more than the original container.
Noise, background music, echo, overlapping speakers, and very quiet recordings reduce accuracy. A high bitrate does not automatically create a better transcript, but heavily compressed audio with artifacts is harder to recognize. For podcasts and subtitles, split long recordings and manually check names, numbers, and technical terms.
Local processing and browser limits
Recognition runs on your device: the browser downloads the Whisper model and uses CPU, memory, and sometimes hardware acceleration. The audio file itself is not uploaded to the All Tools server, which makes the tool practical for work notes, draft transcripts, and personal voice messages.
The first run can be slow because the model has to load. Long recordings need a lot of memory, especially on phones and older laptops; if the tab crashes or the browser reports an error, try a shorter file, close other tabs, or use a desktop browser.