SRS(Simple Realtime Server)

SRS is a simple, high-efficiency, real-time video server supporting RTMP, WebRTC, HLS, HTTP-FLV, SRT, MPEG-DASH, and GB28181.

ossrs.io

SRS/6.0 (Hang) is a simple, high-efficiency, and real-time video server, supporting RTMP/WebRTC/HLS/HTTP-FLV/SRT/MPEG-DASH/GB28181, Linux/Windows/macOS, X86_64/ARMv7/AARCH64/M1/RISCV/LOONGARCH/MIPS, and essential features.

Note: For more details on the single-node architecture for SRS, please visit the following link.

Usage

Please check the Getting Started guide in English or Chinese. We highly recommend using SRS with docker:

docker run --rm -it -p 1935:1935 -p 1985:1985 -p 8080:8080 \
    -p 8000:8000/udp -p 10080:10080/udp ossrs/srs:5

Tips: If you're in China, use this image registry.cn-hangzhou.aliyuncs.com/ossrs/srs:5 for faster speed.

Open http://localhost:8080/ to verify, and then stream using the following FFmpeg command:

ffmpeg -re -i ./doc/source.flv -c copy -f flv -y rtmp://localhost/live/livestream

Alternatively, stream by OBS using the following configuration:

• Service: Custom
• Server: rtmp://localhost/live
• Stream Key: livestream

Play the following streams using media players:

• To play an RTMP stream with URL rtmp://localhost/live/livestream on VLC player, open the player, go to Media > Open Network Stream, enter the URL and click Play.
• You can play HTTP-FLV stream URL http://localhost:8080/live/livestream.flv on a webpage using the srs-player, an HTML5-based player.
• Use srs-player for playing HLS stream with URL http://localhost:8080/live/livestream.m3u8.

If you'd like to use WebRTC, convert RTMP to WebRTC, or convert WebRTC to RTMP, please check out the wiki documentation in either English or Chinese.

To learn more about RTMP, HLS, HTTP-FLV, SRT, MPEG-DASH, WebRTC protocols, clustering, HTTP API, DVR, and transcoding, please check the documents in English or Chinese.

Sponsor

Would you like additional assistance from us? By becoming a sponsor or backer of SRS, we can provide you with the support you need:

• Backer: $5 per month, online text chat support through Discord.
• Sponsor: $100 per month, online text chat plus online meeting support.

Please visit OpenCollective to become a backer or sponsor, and send us a direct message on Discord. We are currently providing support to the developers listed below.

At SRS, our goal is to create a free, open-source community that helps developers all over the world build high-quality streaming and RTC platforms for their businesses.

Contributing

The authors, TOC(Technical Oversight Committee), and contributors are listed here. The TOC members who made significant contributions and maintained parts of SRS are listed below:

• Winlin: Founder of the project, focusing on ST and Issues/PR. Responsible for architecture and maintenance.
• ZhaoWenjie: One of the earliest contributors, focusing on HDS and Windows. Has expertise in client technology.
• ShiWei: Specializes in SRT and H.265, maintaining SRT and FLV patches for FFmpeg. An expert in codecs and FFmpeg.
• XiaoZhihong: Concentrates on WebRTC/QUIC and SRT, with expertise in network QoS. Contributed to ARM on ST and was the original contributor for WebRTC.
• WuPengqiang: Focused on H.265, initially contributed to the FFmpeg module in SRS for transcoding AAC with OPUS for WebRTC.
• XiaLixin: Specializes in GB28181, with expertise in live streaming and WebRTC.
• LiPeng: Concentrates on WebRTC and contributes to memory management and smart pointers.
• ChenGuanghua: Focused on WebRTC/QoS and introduced the Asan toolchain to SRS.
• ChenHaibo: Specializes in GB28181 and HTTP API, contributing to patches for FFmpeg with WHIP.
• ZhangJunqin: Focused on H.265, Prometheus Exporter, and API module.

A huge THANK YOU goes out to:

• All the contributors of SRS.
• All the friends of SRS who gave big support.
• Genes, Mabbott, and Michael Talyanksy for making and sharing State Threads.

We're really thankful to everyone in the community for helping us find bugs and improve the project. To stay in touch and keep helping our community, please check out this guide.

from https://github.com/ossrs/srs/