Voice AI is conversational artificial intelligence you talk to and that talks back in real time. Instead of typing, a person holds a spoken conversation with a machine: the AI listens, understands, reasons, and replies out loud, fast enough to feel like a natural back-and-forth. In the browser and on most production stacks today, that real-time audio runs over WebRTC.
How does Voice AI relate to WebRTC?
WebRTC is the transport layer most voice AI agents use to move audio between the user and the AI. It was built for human-to-human real-time audio and video, so it ships with the parts a voice agent needs anyway: low-latency media, the Opus codec, echo cancellation, and voice activity detection. That is why teams reach for it by default. The full picture of how voice AI uses the transport, and where it is headed, is in WebRTC for Voice AI.
What does a Voice AI stack look like?
Two pieces sit underneath every voice agent:
- The transport. Usually WebRTC. Some services use WebSocket (higher bitrate, base64 PCM audio) or the still-nascent WebTransport. Native apps sometimes use a raw QUIC path
- The voice loop. Either the classic STT to LLM to TTS pipeline (swappable speech-to-text, language model, and text-to-speech parts) or a single Speech-to-Speech model that takes audio in and produces audio out
Why WebRTC for Voice AI?
- Latency. Natural conversation needs sub-second responses. WebRTC prioritizes low latency over guaranteed delivery, which fits
- Audio quality built in. Echo cancellation and noise suppression, battle-tested across billions of calls
- Browser-native. No plugin, works everywhere
- It scales up. The moment a session grows from one human and a bot to multiple participants, WebRTC is already the right tool. You can read the implementation details in Voice AI best practices
How is Voice AI different from normal WebRTC use?
WebRTC assumes two humans on a 1:1 or group call. With voice AI, one endpoint is a machine. That changes the tuning: server-side VAD and end-of-turn logic, a single peer connection instead of two, no need for an SFU in a 1:1 bot session, and careful TURN configuration so every user can actually connect.
