# Show HN: Speech-to-text in the browser with Whisper and Parakeet, no server

> Source: <https://whisper.tanpreet.xyz/>
> Published: 2026-10-26 10:53:04+00:00



``` js
import { BrowserWhisper } from 'browser-whisper';

const whisper = new BrowserWhisper({ model: 'whisper-base' });

for await (const { text, start, end } of whisper.transcribe(file)) {
    console.log(`[${start}-${end}s]: ${text}`);
}
```

Try it in the browser

        Native [WebGPU](https://developer.mozilla.org/en-US/docs/Web/API/WebGPU_API) audio
        transcription. Connects directly to [WebCodecs](https://developer.mozilla.org/en-US/docs/Web/API/WebCodecs_API) ([mediabunny](https://mediabunny.dev)) and [Transformers.js](https://huggingface.co/docs/transformers.js) for zero-server
        inference.
      

Models & language support

| Model | Languages | `language` | 
|---|---|---|
| `whisper-tiny` | Multilingual · 99 languages | ✓ | 
| `whisper-base` | Multilingual · 99 languages | ✓ | 
| `whisper-small` | Multilingual · 99 languages | ✓ | 
| `moonshine-tiny` | English only | — | 
| `moonshine-base` | English only | — | 
| `distil-whisper-small` | English only | — | 
| `parakeet-ctc-0.6b` | English only | — | 
| `parakeet-tdt-0.6b-v3` | 25 European languages, auto-detected (WebGPU only) | — | 

  Model credits: [Parakeet TDT 0.6B v3](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) by NVIDIA, licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Changes: converted to ONNX and quantized by [istupakov](https://huggingface.co/istupakov/parakeet-tdt-0.6b-v3-onnx)/[ysdede](https://huggingface.co/ysdede/parakeet-tdt-0.6b-v3-onnx); runs with [parakeet.js](https://github.com/ysdede/parakeet.js) (MIT). [Parakeet CTC 0.6B](https://huggingface.co/nvidia/parakeet-ctc-0.6b) by NVIDIA, licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Changes: converted to ONNX and quantized by [onnx-community](https://huggingface.co/onnx-community). Whisper by OpenAI (MIT). Moonshine by Useful Sensors (MIT). Distil-Whisper by Hugging Face (MIT). Lite-Whisper by efficient-speech (Apache-2.0). ONNX exports by [onnx-community](https://huggingface.co/onnx-community). [All third-party notices](https://github.com/tanpreetjolly/browser-whisper/blob/main/THIRD_PARTY_NOTICES.md).

Pass any BCP-47 code as `language` to skip auto-detection — slightly faster and more accurate when the language is known.