* Use purely RR based RTT. With normalization of NTP time stamp to local time, don't need to keep track of NTP time of publisher + local time of when a report is sent. RTT calculations can happen with RR only. Also, do not log errors when RTT cannot be calculated due to no last SR. This can happen if the receiver sends an RR before it receives an SR. As SFU is doing SRs once in 5 seconds, it is possible some RRs happen before the first SR. * use error type * correct error name
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LiveKit: High-performance WebRTC
LiveKit is an open source project that provides scalable, multi-user conferencing based on WebRTC. It's designed to provide everything you need to build real-time video/audio/data capabilities in your applications.
LiveKit's server is written in Go, using the awesome Pion WebRTC implementation.
- Scalable, distributed WebRTC SFU (Selective Forwarding Unit)
- Modern, full-featured client SDKs
- Built for production, supports JWT authentication
- Robust networking and connectivity, UDP/TCP/TURN
- Easy to deploy: single binary, Docker or Kubernetes
- Advanced features including:
Documentation & Guides
Try it live
Head to our playground and give it a spin. Build a Zoom-like conferencing app in under 100 lines of code!
SDKs & Tools
Client SDKs enable your frontend to include interactive, multi-user experiences.
|Swift (iOS / MacOS)||client-sdk-swift||Swift UI||docs | example|
|Kotlin (Android)||client-sdk-android||Compose||docs | example | Compose example|
|Flutter||client-sdk-flutter||native||docs | example|
|React Native (beta)||client-sdk-react-native||native|
Server SDKs enable your backend to generate access tokens, call server APIs, and receive webhooks. In addition, the Go SDK includes client capabilities, enabling you to build automations that behave like end-users.
Ecosystem & Tools
- Egress - export and record your rooms
- CLI - command line interface & load tester
- Docker image
- Helm charts
We recommend installing livekit-cli along with the server. It lets you access server APIs, create tokens, and generate test traffic.
brew install livekit
curl -sSL https://get.livekit.io | bash
Download the latest release here
Start LiveKit in development mode by running
livekit-server --dev. It'll use a placeholder API key/secret pair.
API Key: devkey API Secret: secret
To customize your setup for production, refer to our deployment docs
Creating access token
A user connecting to a LiveKit room requires an access token. Access tokens (JWT) encode the user's identity and the room permissions they've been granted. You can generate a token with our CLI:
livekit-cli create-token \ --api-key devkey --api-secret secret \ --join --room my-first-room --identity user1 \ --valid-for 24h
Test with example app
Once connected, your video and audio are now being published to your new LiveKit instance!
Simulating a test publisher
livekit-cli join-room \ --url ws://localhost:7880 \ --api-key devkey --api-secret secret \ --room my-first-room --identity bot-user1 \ --publish-demo
This command publishes a looped demo video to a room. Due to how the video clip was encoded (keyframes every 3s), there's a slight delay before the browser has sufficient data to begin rendering frames. This is an artifact of the simulation.
Use LiveKit Cloud
LiveKit Cloud is the fastest and most reliable way to run LiveKit. Every project gets free monthly bandwidth and transcoding credits.
Sign up for LiveKit Cloud.
Read our deployment docs for more information.
Building from source
- Go 1.16+ is installed
- GOPATH/bin is in your PATH
git clone https://github.com/livekit/livekit cd livekit ./bootstrap.sh mage
We welcome your contributions toward improving LiveKit! Please join us on Slack to discuss your ideas and/or PRs.
LiveKit server is licensed under Apache License v2.0.