The python library for real-time communication
Expert Video Review by SEOGANT · March 2026
FastRTC is a Python library for building real-time audio and video communication applications, providing WebRTC-based peer-to-peer streaming with a high-level API designed for AI developers who want to add live voice or video processing capabilities speech-to-text transcription, voice activity detection, video analysis, real-time translation without implementing WebRTC signaling, ICE negotiation, and media pipeline management from scratch.
The library abstracts the complexity of establishing peer-to-peer media connections behind a simple server component that handles signaling and a client-side JavaScript integration that connects browser audio/video streams to the Python processing pipeline.
AI processing functions are registered as stream handlers that receive audio chunks or video frames and return processed outputs transcriptions, synthesized speech, annotated frames, or structured data that can be streamed back to the client or logged to a downstream system.
FastRTC is particularly useful for building AI voice assistants with low-latency audio pipelines, real-time meeting transcription services, video analysis applications that process live camera feeds, and interactive AI experiences where the millisecond latency of local WebRTC peer-to-peer connections matters for user experience.
The library integrates with common Python AI tools (Whisper for transcription, silero-VAD for voice activity detection, ElevenLabs for TTS) through a composable pipeline model, allowing complex real-time AI audio applications to be assembled from modular components.
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