Speech to Text
Free Online Converter
Whisper is OpenAI's open-source speech recognition model, trained on 680,000 hours of multilingual audio. It's the underlying reason AudioSRT's transcription handles accents, background noise, and non-English speech significantly better than older rule-based tools. What makes browser-based Whisper different from API-based implementations is where the compute happens: the model runs as WebAssembly inside your browser tab, meaning no audio data is ever sent to OpenAI's servers or any other server. It's Whisper, but entirely local.
The practical upshot is that you can transcribe meetings, voice memos, interviews, lectures, and content recordings all with the same tool — and none of it leaves your device. For a broader look at audio conversion formats, see the audio to text converter. For academic-specific vocabulary handling, the lecture transcription page covers how Whisper performs on academic and technical content.
Try Whisper AI in your browser →How it works
Record or upload your audio
Load a voice memo, meeting recording, interview, or any audio source. MP3, WAV, M4A, OGG — any format, any length. The file is read locally by your browser.
Whisper AI processes locally
The Whisper model runs as compiled WebAssembly in your browser tab. No data is sent to OpenAI's API, no server request is made. The transcript is generated entirely on your device.
Get your transcript
Results appear progressively as each audio segment completes. Edit the transcript for accuracy, then export as plain text or SRT — whichever format your workflow needs.
Why Whisper AI makes the difference
OpenAI Whisper model
Trained on 680,000 hours of diverse real-world audio, Whisper achieves state-of-the-art accuracy on the kinds of recordings that trip up older transcription engines — accented speech, technical vocabulary, background noise.
Multilingual support
Whisper handles non-English speech, mixed-language recordings, and accented English natively. You don't need to select a language — the model detects it automatically from the audio.
Runs locally, not via API
Unlike tools that pipe your audio through OpenAI's Whisper API, AudioSRT runs the model as WASM in your browser. No data is sent to OpenAI or any other server — ever.
Instant start, progressive output
There's no upload queue to wait in. The model starts processing immediately, and the first results appear within about 30 seconds — you see the transcript building in real time.
Try Whisper AI in your browser
Free. No account. No upload.
Start transcribing →