Replacing the face in an existing image or video with a different person's face. Distinct from generating an original synthetic persona: a face swap always has a source identity, which is why swapping real people without consent is prohibited on most platforms and legally risky.
Face swap tools map a source face onto a target image or video, preserving the target's pose, lighting and expression while substituting identity. The technique itself is neutral — film productions license it for stunt doubles and de-aging — but consumer face swapping almost always involves a real, identifiable person, and that is where the problems start.
Using a real person's face without permission can violate likeness and publicity rights, data-protection law and platform policy, and a growing number of jurisdictions regulate it directly as a form of deepfake. Face-swapping real people without consent is prohibited on InfluencerForge.app and legally risky — the likeness rights guide explains the legal landscape in plain language. This is general information, not legal advice.
The clean alternative is structural, not cosmetic: train an original synthetic persona. A trained identity corresponds to no real person, so there is no source face and no consent question — the persona is brand-owned IP from day one. That distinction (borrowed identity vs. no source identity) is the line between a face swap and everything InfluencerForge.app is built for.
Frequently asked questions
Related terms
In everyday use, AI-generated media that depicts a real, identifiable person doing or saying something they did not. The EU AI Act's legal definition is wider: Art. 3(60) covers content resembling persons, objects, places, entities or events that would falsely appear authentic — which reaches a photorealistic synthetic person who resembles no one in particular. Deepfakes of real people without consent are prohibited on InfluencerForge.app; photorealistic synthetic personas are allowed but must be disclosed when published.
Fixing a persona's facial identity at training time so that every subsequent generation shares the same face and build. The alternative — re-describing a character in each prompt — produces visible identity drift between images.
Any media (images, video, audio) generated or substantially modified by AI rather than captured from reality. Regulations such as the EU AI Act attach transparency obligations to synthetic media that depicts realistic people.