Frame-level face matching
Detects your face across video frames, not just thumbnails, so a swap that only appears briefly is still caught.
Deepfake protection
Face-swap video removal: remove face-swapped deepfake videos
Noticeora detects videos with your face swapped in and files takedowns against the platforms, channels, and hosts distributing them.
Capabilities
Built for video, where fabrication is hardest to prove.
Synthetic-content verification
Confirms a video is a face-swap fabrication rather than a genuine appearance before any notice is filed.
TAKE IT DOWN Act filing
Statutory notices filed under the law written for non-consensual, AI-generated intimate imagery, including video.
Cross-platform monitoring
Face-swap videos spread fastest through reposts on social and messaging platforms, and monitoring covers all of them, not one.
Search de-indexing
Cuts traffic to a hosting page before the platform responds to the takedown.
Free scan
Scan for your face across the internet before deciding to subscribe. No credit card or upfront payment required.
Enforcement at internet scale
48 Hours
Removal window for qualifying statutory notices.
24/7
Continuous internet monitoring.
Unlimited
Takedowns under one fee.
Millions
Pages continuously monitored.
Face-swap deepfake videos spread differently from images. They move through reposts on TikTok, Telegram channels, Reddit, and video-hosting sites, often shared precisely because the swap is convincing enough that viewers aren't sure it's fake. That ambiguity is part of why video is harder to get removed than a still image: a platform reviewing a report has to be convinced the face was swapped, not just told so.
Why video needs its own detection approach
A face-swap is often present for only part of a video, or blended in a way that shifts slightly from frame to frame as the source model's confidence changes. Checking a single thumbnail misses this. Noticeora's detection works at the frame level. It matches your face against a reference built from photos and videos you control, across the video's actual content rather than a preview image, so a swap that appears only intermittently is still caught.
The legal basis: why this isn't a DMCA case
A face-swap video wasn't copied from anything you made. A generative model put your likeness into footage you were never part of. DMCA doesn't apply because no original work is being infringed. The correct basis is the TAKE IT DOWN Act, which explicitly covers AI-generated non-consensual intimate content including video, and carries a mandated 48-hour removal window for covered platforms once a valid notice is filed. Read the full guide to the Act for what qualifies and why this distinction decides whether a platform is obligated to act. If you're unsure whether a specific video is covered, the TAKE IT DOWN Act eligibility checker walks through it in a few questions.
Where these videos spread, and why monitoring can't stop at one platform
A face-swap video rarely stays where it was first posted. It gets clipped, re-uploaded, and reposted across social platforms, video hosts, and private messaging channels, often by different accounts than the one that made it. Monitoring runs across all of these at once instead of tracking a single source, and every URL a takedown has already been filed against stays on a watch list, so a re-upload elsewhere is caught automatically.
Cutting off search visibility alongside the takedown
Where a face-swap video sits on an indexed page rather than a closed messaging channel, de-indexing requests go to search engines in parallel with the takedown. The page stops showing up in search even before a slower host acts on the removal request.
For fabricated still images, see deepfake porn removal or nudify app removal.
Find out if a face-swap video of you exists
Scan your face now and find out what's out there