Deepfake video technology uses neural network face-swapping to place a target's face onto an explicit actor's body in video content. The output is increasingly convincing and has become consumer-accessible through web-based tools. ScanErase covers both authentic and AI-generated intimate video content by helping users discover their exposure.

How deepfake videos are created

Deepfake videos use GAN-based face-swapping models trained on the target's face images. The model replaces the source actor's face with the target's in each video frame. Higher quality outputs require more source images and processing time; lower quality consumer tools produce cruder but increasingly convincing results in minutes.

Where deepfake intimate videos spread

Adult video platforms are the primary distribution channel for deepfake intimate videos. Reddit communities, Telegram channels, and imageboards serve as secondary distribution points. Videos are typically compressed and re-uploaded multiple times, reducing quality but increasing reach.

Finding deepfake intimate videos

ScanErase's biometric scanning identifies deepfake video content featuring your likeness across adult platforms, social media, and general web hosting. Discover where your face appears to take action yourself.

Frequently asked questions

Can platforms detect deepfake videos automatically?

Some platforms use AI detection to proactively identify deepfake content. However, automated detection is imperfect. Users may need to take additional steps to address their findings.

What if a deepfake video of me is on a streaming platform?

All major streaming platforms can feature deepfake videos. ScanErase helps you find where your face appears across all identified video hosting locations.

Related deepfake resources