Credits & Open Source Acknowledgments

AI models & speech recognition

The Audio to Text and Live Transcription tools run entirely in your browser using these open source models and runtime.

• Whisper (whisper-base.en)MIT

  by OpenAI

  Speech recognition model used by the Audio to Text tool. Runs locally in the browser via the ONNX export at onnx-community/whisper-base.en.

• pyannote-segmentation-3.0MIT (ONNX community export)

  by pyannote

  Speaker segmentation model used by the Audio to Text tool to label Speaker 1, Speaker 2, etc.

• MoonshineMIT

  by Useful Sensors

  Streaming speech recognition model used by the Live Transcription tool. Runs locally via onnx-community/moonshine-base-ONNX.

• Silero VADMIT

  by snakers4 / Silero Team

  Voice activity detection used by the Live Transcription tool to detect speech boundaries before transcription.

• Transformers.jsApache 2.0

  by Hugging Face

  Browser ML runtime that loads and runs the speech models entirely on the client device using WebGPU or WebAssembly.

Core framework & UI

• Next.jsMIT

  by Vercel

  React framework used to build and statically export the entire site.

• ReactMIT

  by Meta

  UI library powering every interactive tool on the site.

• Tailwind CSSMIT

  by Tailwind Labs

  Utility-first CSS framework used for all styling.

• Material SymbolsApache 2.0

  by Google

  Icon set used throughout the interface.

Tool-specific libraries

• qrcodeMIT

  by soldair

  QR code generation in the QR Code Generator tool.

• jsbarcodeMIT

  by lindell

  Barcode rendering in the Barcode Generator tool.

• pdf-libMIT

  by Hopding

  Browser PDF manipulation in the PDF Merge and Image to PDF tools.

• markedMIT

  by markedjs

  Markdown parsing in the Markdown Editor tool.

• DOMPurifyApache 2.0 / MPL 2.0

  by cure53

  HTML sanitization for safe Markdown rendering.

• TerserBSD-2-Clause

  by terser

  JavaScript minification in the JavaScript Minifier tool.