parakeet.wgsl – Fast, accurate ASR in the browser, via raw WebGPU & SIMD WASM

High-performance inference of NVIDIA's Parakeet TDT 0.6B V2 English transcription model, in the browser. Check out the live demo: https://parakeet.narcotic.sh/ A fully custom, dependancy-free implementation with raw WebGPU compute shaders and SIMD WebAssembly audio frontend. 1 hour of audio transcribed in 20 seconds (Apple M5, Google Chrome 151.0.7922.72). Check out the source and use in your own projects! https://github.com/narcotic-sh/parakeet.wgsl https://www.npmjs.com/package/parakeet.wgsl This might be the first instance of fast & accurate transcription running locally in the browser. So long as your device has a GPU and can run a WebGPU-capable browser, parakeet.wgsl will run on it. And as WebGPU transpiles to practically any GPU, this also opens up the path to getting parakeet.wgsl running offline / outside of the browser, via Dawn or wgpu, so that fast, accurate transcription can be brought to offline programs, with GPU acceleration and support for nearly all hardware/devices. Interested in what you guys think about about this project. And lastly, I'm looking for job. If you like my work and think I'd be a good fit for your team, I'd love to chat. I've done some other work too that you can find at https://hamzaq.com Cheers, everyone. Enjoy fast, cross-platform GPU-accelerated local transcription! submitted by /u/hamza_q_ [link] [comments]

Related

• LFM 2.5 230M running at 1440 tok/s in-browser through a custom backend
• Bonsai 27B: 1-bit dense LLM running locally in your browser using custom WebGPU kernels
• microsoft/VibeVoice-ASR-BitNet

Source: r/LocalLLaMA | 2026-08-07