ia WebGPU - 136 TTS models across 53 languages (Piper, Coqui, Mimic3, Matcha)

For those who prefer cloud providers, it also supports OpenAI Realtime API, Google Gemini Live, Palabra.ai, Volcengine ST, Doubao AST 2.0, and any OpenAI-compatible endpoint.

The browser extension integrates with Google Meet, Teams, Zoom, Discord, Slack, and others — it can capture participant audio and inject translated speech via a virtual microphone.

Tech stack: React + Zustand + Vite, Electron Forge, sherpa-onnx compiled to WASM, HuggingFace Transformers.js for WebGPU inference. Models are downloaded on demand and cached in IndexedDB.

I built this because existing translation tools either require expensive API keys, send your audio to the cloud, or don't support enough languages. The local inference mode makes it practical for privacy-sensitive use cases and for people without reliable internet.

AGPL-3.0 licensed. Available on Windows, macOS, Linux, Chrome Web Store, and Edge Add-ons.

GitHub: https://github.com/kizuna-ai-lab/sokuji Offical site: https://sokuji.kizuna.ai18:T559,I built recordsv.lt to explore a problem I ran into as a vinyl collector: once your collection grows, Discogs is great for cataloging but not great for understanding the collection itself.

Recordsv connects to Discogs and analyzes your collection using the full release metadata — not just album titles but pressings, contributors, labels, and release history. The idea is to surface patterns that are hard to see manually.

Some examples: * Pressing insights – compares different pressings of the same album and highlights when the version you own might not be the best sounding or most collectible one. * Contributor networks – maps relationships between artists, producers, engineers, and labels across your collection. You often discover unexpected connection

Tiny, 45 base long RNA can make copies of itself

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