How do I set up real-time voice chat with WebSockets and LLMs?

Clone a repo like this guide's example, install Ollama, run Node server, load client in Chrome. Tweak SAMPLE_RATE to 16000. Test with 'hello'—response in 400ms.

Does this work on mobile browsers?

Partially—Chrome Android yes, iOS Safari lags on Worklets. Use WASM STT fallback.

What's the latency with local Ollama vs cloud APIs?

Local: 200-600ms end-to-end. Cloud: 800ms+. Yours wins on privacy, costs zero.

🤖 AI & Machine Learning

Mic Live: Crafting Browser-Native Voice AI That Talks Back Instantly

Your browser's mic picks up your voice. Chunks fly over WebSockets to a local LLM. Response audio blasts back before you blink. This isn't sci-fi—it's today's web dev reality.

theAIcatchup Apr 07, 2026 3 min read

Diagram of browser-to-local-server voice streaming pipeline with WebSockets and LLM processing

⚡ Key Takeaways

WebSockets + Web Audio API enable true browser-native, low-latency voice streaming without cloud dependency. 𝕏
Local LLMs like Ollama slash costs and latency—200-500ms feels human, crushes HTTP polling. 𝕏
WebGPU accelerates everything; this stack predicts the end of proprietary voice SDKs by empowering devs. 𝕏

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theAIcatchup

Community-driven. Code-first.

#real-time-voice #webgpu

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Originally reported by Dev.to

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