Frame-level face matching
Detects your face across video frames, not just thumbnails — a swap that only appears briefly is still caught.
Deepfake 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 — monitoring covers all of them, not one.
Search de-indexing
Cut traffic to a hosting page before the platform even responds to the takedown.
Free scan
Run a scan of 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 have a distribution pattern that images don't: they spread through reposts on TikTok, Telegram channels, Reddit, and video-hosting sites, often shared specifically because the swap is convincing enough that viewers aren't sure if it's real. That ambiguity is part of what makes video harder to get removed than a still image — a platform reviewing a report has to be convinced the face was actually swapped, not just told so.
Why video needs its own detection approach
A face-swap is often only present for part of a video, or blended in a way that changes slightly across frames as the source model's confidence shifts. Detecting a match against a single thumbnail misses this. Noticeora's detection works at the frame level — matching your face against a reference built from photos and videos you control across the video's actual content, not just a preview image — so a swap that only appears 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 was used to insert your likeness into footage you were never part of. DMCA doesn't apply because there's no original work being infringed. The TAKE IT DOWN Act, which explicitly covers AI-generated non-consensual intimate content including video, is the correct legal basis, and it 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 determines whether a platform is actually obligated to act.
Where these videos spread, and why monitoring can't stop at one platform
A face-swap video rarely stays on the platform it was first posted to — it gets clipped, re-uploaded, and reposted across social platforms, video hosts, and private messaging channels, often by different accounts than the one that created it. Monitoring runs across all of these simultaneously rather than 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 is hosted on an indexed page rather than a closed messaging channel, de-indexing requests go to search engines in parallel with the takedown itself — so the page stops surfacing in search even before a slower-moving host acts on the removal request.
For fabricated still images specifically, 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