Building Your Own Live Video Streaming Pipeline: A Practical Guide to FFmpeg × MediaMTX

Problem: The camera speaks via RTSP, but the browser cannot hear.

Let's say you want to display live footage from security cameras and IoT devices on a web application. Most cameras stream using RTSP (Real Time Streaming Protocol). However, browsers have discontinued support for RTSP since the 2010s. In short, the fundamental problem is that the “language the camera is speaking” and the “language the browser can understand” are different.

The ones responsible for this translation are FFmpeg (the Swiss Army knife of video processing) and MediaMTX (a protocol conversion server). By combining these two, you can create a professional-grade low-latency streaming pipeline.

Tool Explanation

FFmpeg: A magic wand to convert any video format

FFmpeg processing flow:

• Demultiplexing: Separate video and audio from the container
• Decode: Convert compressed data to raw frames
• Filtering: Apply scaling, color correction, etc.
• Encoding: Compressed with H.264 or VP9
• Multiplex: Packaged in the output container

For streaming purposes, FFmpeg acts as the input engine. It captures video from webcams and files, encodes it efficiently, and sends it to the server via RTSP or RTMP.

MediaMTX: Multi-client compatible protocol hub

FFmpeg has a single output, but MediaMTX can stream to multiple clients simultaneously. Furthermore:

• Receiving via RTSP/RTMP/WebRTC/HLS
• Repackaging for different clients
• Convert RTSP to WebRTC (playable in browsers)
• Authentication, Load Balancing, Client Management

With just one binary and a YAML configuration file, it can handle complex scenarios that previously required multiple dedicated servers.

Implementation Steps

Step 1: Install the tool

Ubuntu/Debian:

sudo apt update sudo apt install autoconf automake build-essential pkg-config libx264-dev libvpx-dev libfdk-aac-dev git clone ffmpeg cd ffmpeg ./configure --enable-gpl --enable-libx264 --enable-nonfree make -j$(nproc) sudo make install

macOS:

brew install ffmpeg

Windows: Download from gydan.dev → Unzip to C:\ffmpeg → Add to system PATH

MediaMTX v1.15.0 is also installed (easy with a single binary).

Step 2: Stream the video file

Create mediamtx.yml:

paths: test_video: source: publisher

Start MediaMTX:

mediamtx mediamtx.yml

Sending video via RTSP with FFmpeg:

ffmpeg -re -i video.mp4 -c:v libx264 -preset fast -c:a aac -f rtsp rtsp://localhost:8554/test_video

-re: Frame rate preservation (required for live streaming) -preset fast: Balance of encoding speed

Check with VLC Media Player: Media → Open Network Stream → rtsp://localhost:8554/test_video

Step 3: Live stream with the webcam

Windows:

ffmpeg -f dshow -rtbufsize 100M -i video=“Integrated Webcam” -c:v libx264 -preset ultrafast -tune zerolatency -f rtsp rtsp://localhost:8554/webcam

macOS:

ffmpeg -f avfoundation -framerate 30 -video_size 1280x720 -i “0” -c:v libx264 -preset ultrafast -tune zerolatency -f rtsp rtsp://localhost:8554/webcam

Linux:

ffmpeg -f v4l2 -i /dev/video0 -c:v libx264 -preset ultrafast -tune zerolatency -c:a aac -f rtsp rtsp://localhost:8554/webcam

-tune zerolatency is the point. Real-time streaming optimization.

Step 4: Play in the browser (WebRTC)

Update mediamtx.yml:

webrtc: yes webrtcAddress: :8889 webrtcEncryption: no webrtcAllowOrigin: '*'

paths: webcam: source: publisher

Restart MediaMTX and open http://localhost:8889 in your browser → the live video will be displayed in the browser.

Data Flow

1. Webcam → Live Frame Generation
2. FFmpeg → Encode with H.264 & RTSP transmission
3. MediaMTX → RTSP reception and WebRTC conversion
4. Browser → Real-time playback with WebRTC

MediaMTX does not re-encode. It simply repackages H.264 streams into different protocol containers. This is how low latency is achieved.

Summary of This Time

Basic pipeline completed:

• FFmpeg and MediaMTX have been installed
• Check streaming of video files and webcam
• Browser playback successful via WebRTC

However, there are challenges in the production operation:

• No authentication or security
• Works only on localhost
• Compatible with real IP cameras
• No error handling

In Part 2, we will proceed with adding authentication, connecting IP cameras, and internet compatibility.