Whisper in browser
Speech recognition with a multilingual model running locally.
Convert speech to text with Whisper directly in your browser and download the transcript as TXT or SRT subtitles.
MP3, WAV, M4A, OGG, WebM, or another format your browser can decode. Maximum 100 MB and 30 minutes.
The tool decodes audio in your browser, converts it to Whisper’s sample rate, and runs speech recognition locally. Review or copy the text, and download timestamped subtitles.
Speech recognition with a multilingual model running locally.
Leave language detection on automatic or choose a language manually.
The file does not need to be sent to UtiliTools Pro servers.
Check and modify the transcription before downloading.
Generate subtitle blocks from timestamps.
Copy the result or save it as TXT and SRT.
Select an audio file compatible with your browser.
Leave language detection on automatic or select the spoken language.
Click “Transcribe with AI” and wait for Whisper to process the audio.
Check the text and copy it or download it as TXT or SRT.
Whisper runs in your browser through Transformers.js. The model downloads on the first run, but audio is processed locally without a paid transcription API.
Whisper Tiny balances speed and memory use. Clear audio with little background noise usually gives better results. Longer tasks may take several minutes, depending on your device.
Yes. It uses an ONNX version of Whisper Tiny compatible with Transformers.js for speech recognition in your browser.
It is not uploaded to UtiliTools Pro servers. Your browser downloads the model and processes the audio locally on your device.
Whisper supports multiple languages. Use automatic detection or select a common language such as Spanish, English, French, German, Portuguese, Dutch, Arabic, Korean, Japanese, or Chinese.
Support depends on your browser, but MP3, WAV, M4A/AAC, OGG, and WebM usually work. The browser’s audio features must be able to decode the file.
Yes. The tool requests timestamps from Whisper and generates an SRT file. If the model does not return segments, it creates a single block spanning the full duration.
Yes. The first time you have to download and prepare the Whisper model. The following transcripts can take advantage of the files stored in cache.
Convert text to speech using neural voices and download it as WAV.
Extract audio from a video file before transcribing it.
Select only the fragment you need to transcribe.
Convert audio to WAV directly in your browser.
Adjust the audio level before processing.