Protect streamers from doxxing: blur on-screen notifications, chat messages, Discord pings, and accidental personal info during gameplay.
Live streamers face constant doxxing risks: a Windows notification showing your real name, a Discord ping with your address, or an accidental browser tab revealing private information can all appear on stream in seconds.
Follow the same pipeline used in the demo clip above—built for fast privacy edits in the browser.
Download your stream VOD or export gameplay footage.
Identify timestamps where notifications, chat, or personal info appeared on screen.
Apply selective blur to those regions and export for upload or archival.

Post-stream blur for VODs and highlight reels gives you a safety net: catch leaked information before clips go viral or get reuploaded by viewers.
Combine regional blur with OBS scene overlays—blur protects past streams while overlays prevent future leaks during live broadcasts.


Teams reach for this workflow when twitch vod cleanup before highlight compilation; youtube gaming uploads with accidental notifications; discord screen shares showing private channels; stream recap videos with chat or ui containing pii. BGBlur automates detection so these scenarios stay publishable without days in a timeline.
Ideal audiences include Twitch and YouTube Gaming streamers, Esports content creators, Gaming clip channels and highlight editors, VTubers with face cam overlays. Pair this example with your policy review when footage is sensitive or public-facing.

Explore similar scenarios with the same demo clips and step-by-step guidance.
Automatic face detection and blur for interviews, podcasts, and vlogs—motion-tracked so identities stay protected.
Hide readable plates in traffic, parking, and ride-along footage—ideal for motovlogs and location shoots.
Soften or replace busy backgrounds so subjects stand out—great for webinars, reviews, and product demos filmed at home.
Target arbitrary areas—logos on hoodies, on-screen addresses, signage—with precise AI-assisted selection.
Keep bystanders and non-consenting faces out of frame legally and ethically—optimized for fast turn edits.
Reduce incidental personal data in driver footage—helpful for sharing clips internally or in marketing.
Upload MP4, MOV, or M4V and apply the same blur modes shown in this example.
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