streamlit-webrtc

Why we included this project

Streamlit teams that want live camera or microphone input in their dashboards often have to work around the framework's file-based model. This component brings WebRTC into the picture: the browser streams video and audio frames into Python, where a small callback processes each frame and sends it back to the page. That makes object detection, OpenCV filters, pose estimation, and style transfer practical on a live feed instead of on uploaded files. The API is compact, so a working video app fits in a few dozen lines, and the included examples range from one-way streaming to real-time speech-to-text. For teams already standardized on Streamlit, this is a low-friction way to add live-media features without leaving their usual stack.