How automatic face blur works in video
For recorded video, detect and track faces, review the processed footage and export the file. Live streams need face processing before broadcast output. InnoLive blurs unregistered faces in live camera video in real time.
Recorded video: detect, track and review
Import a recording into an editor and select the faces to hide. Editors with face detection and tracking can follow moving face regions.
Replay the result to check for missed faces and misplaced masks. Correct them before export. Automatic detection and manual correction options vary by tool.
Live video: process before broadcasting
Process camera input and send the result to the platform as you broadcast. Check the preview and the platform's start procedure first.
InnoLive keeps registered guests visible and blurs unregistered faces. Its current effect is blur, not pixelated mosaic.
Choose a tool for your video source
Use a recorded-video editor when you need to upload, correct and export a file. InnoLive processes live camera video and does not provide recorded-file editing or export.
For live face blur, try the camera demo and check guest registration before preparing your broadcast in the app.
Keep guests visible during outdoor streams
Register the people you want to show before streaming. Try the camera demo, then follow the face registration and streaming software guides to prepare your broadcast.
Frequently asked questions
Can I edit recorded files as I would with CapCut mosaic?
InnoLive applies real-time blur to unregistered faces in live camera video. To import recordings, track and correct face masks, and export files, use a video editor that provides those features.
How is the web demo different from an online video blur editor?
The web demo lets you inspect face detection and blur on camera input. It does not offer video file uploads, edited-video review or processed-file downloads.