# FastRTC: Real-Time Communication Library for Python Functions

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FastRTC is a powerful Python library designed for real-time communication, enabling developers to transform any Python function into an audio and video stream over WebRTC or WebSockets. It simplifies the creation of interactive, real-time applications, particularly in the AI domain, by handling complex streaming logistics. This library offers robust features for building conversational AI, live video analysis, and more.

GitHub: https://github.com/gradio-app/fastrtc
OSRepos URL: https://osrepos.com/repo/gradio-app-fastrtc

## Summary

FastRTC is a powerful Python library designed for real-time communication, enabling developers to transform any Python function into an audio and video stream over WebRTC or WebSockets. It simplifies the creation of interactive, real-time applications, particularly in the AI domain, by handling complex streaming logistics. This library offers robust features for building conversational AI, live video analysis, and more.

## Topics

- python
- real-time
- webrtc
- websockets
- artificial-intelligence
- llm
- speech-to-text
- gradio

## Repository Information

Last analyzed by OSRepos: Thu Jan 15 2026 00:00:28 GMT+0000 (Western European Standard Time)
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## Content

## Introduction
FastRTC, developed by gradio-app, is a cutting-edge Python library that revolutionizes real-time communication. It allows you to effortlessly turn any Python function into a dynamic audio and video stream, leveraging the power of WebRTC and WebSockets. This library is ideal for building interactive applications, especially those involving AI, speech processing, and live video analysis.

## Installation
Getting started with FastRTC is straightforward. You can install the core library using pip:

bash
pip install fastrtc


For advanced features like built-in pause detection and text-to-speech capabilities, install with the `vad` and `tts` extras:

bash
pip install "fastrtc[vad, tts]"


## Examples
FastRTC provides a rich set of examples to demonstrate its versatility. Some notable use cases include:

*   **LLM Voice Chat**: Create real-time conversational AI interfaces with large language models.
*   **Webcam Stream**: Easily set up and manipulate live video feeds from a webcam.
*   **Object Detection**: Integrate real-time object detection models, such as YOLOv10, directly into video streams.
*   **Speech Transcription**: Utilize models like Whisper for real-time speech-to-text transcription.

For a comprehensive collection of examples and practical recipes, explore the official [Cookbook](https://fastrtc.org/cookbook/).

## Why Use FastRTC
FastRTC stands out with its robust feature set, designed to streamline real-time application development:

*   **Automatic Voice Detection and Turn Taking**: Focus on your application logic, as FastRTC handles conversational flow.
*   **Automatic UI**: Launch a built-in, WebRTC-enabled Gradio UI with a single method call for quick testing and sharing.
*   **WebRTC and Websocket Support**: Seamlessly integrate real-time streams into your existing FastAPI applications.
*   **Automatic Telephone Support**: Get a temporary phone number to connect to your stream, enabling voice-only interactions.
*   **Completely Customizable Backend**: Mount your `Stream` on a FastAPI app, offering full flexibility for production environments and custom frontends.

## Links
*   [GitHub Repository](https://github.com/gradio-app/fastrtc)
*   [Official Documentation](https://fastrtc.org)