Build a live translation broadcast app with the Gemini Live API and LiveKit
Summary
This technical demonstration outlines the architecture for a real-time, multilingual broadcast application using the Gemini 3.5 Live Translate API. The system leverages LiveKit and Google Cloud Run to manage long-running WebSocket connections, enabling scalable, real-time speech translation and caption broadcasting via WebRTC data channels.
Key takeaways
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Real-Time Multilingual Broadcast
The application uses Gemini 3.5 Live Translate to set up and manage live translation sessions for multiple languages, subscribing listeners to existing sessions rather than creating new ones for every request.
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Scalable WebSockets with Cloud Run
Deploying Next.js to Google Cloud Run allows the application to maintain long-running WebSocket connections, which is critical for real-time communication.
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WebRTC for Captioning
WebRTC data channels are utilized to broadcast captions alongside the audio stream, enhancing the real-time user experience.
Technical details
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Gemini 3.5 Live Translate API
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The core functionality relies on the Gemini 3.5 model via the Gemini API to handle live, real-time speech translation across multiple languages.
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System Architecture Stack
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The application stack includes Next.js for the frontend, LiveKit for real-time communication, and Google Cloud Run for deployment, ensuring long-running WebSocket support.
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Connection Management
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The system manages WebSocket connections by subscribing listeners to existing sessions and explicitly closing the WebSocket when the last listener disconnects.
Mentioned resources
Channel & topics
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