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Audio Transcriber

Turn speech into text right in your browser. Upload an audio or video file or record from your microphone, and get a transcript powered by OpenAI Whisper running locally via Transformers.js. Nothing is uploaded; your audio never leaves your device.

Settings

Larger models are more accurate but slower to download and run.
Leave blank to auto-detect. Ignored for English-only models.

Audio Source

— or —
Microphone: Idle
00:00
Loading model…
Privacy: The Whisper model is downloaded once from a public CDN and cached in your browser. All transcription runs locally on your device; your audio is never uploaded to any server.

Transcript

How It Works

This tool uses OpenAI Whisper, a state-of-the-art automatic speech recognition model, executed directly in your browser with Transformers.js and ONNX Runtime (WebAssembly / WebGPU). The workflow is entirely client-side:

  1. Decode: Your audio or video file (or microphone recording) is decoded with the Web Audio API and resampled to 16 kHz mono — the format Whisper expects.
  2. Load model: The selected Whisper model is downloaded once from a public CDN and cached by your browser for future use.
  3. Transcribe: The audio is split into 30-second chunks with overlap and fed through the model to produce text, optionally with timestamps.
Tips:
  • The first run downloads the model and can take a moment; later runs are fast thanks to caching.
  • Use the Tiny model for quick drafts and Base for higher accuracy.
  • For non-English audio, pick a multilingual model and optionally set the language.
  • Clear speech and low background noise give the best results.

Embed This Util

You can embed this util on your own site as a widget. Adding ?embed=1 to the URL loads a compact version with just the tool itself; no header, menu, or documentation. Paste this snippet into your HTML: 


    

       Copy snippet
      Adjust the height to taste.
    

  




  

  
  
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