Standard reverse image search (like Google Images) looks for visual duplicates. FaceCheck.ID does something different: it uses . The AI analyzes unique geometric features of a face—distance between eyes, shape of the jawline, curve of the lips—and compares that "faceprint" against a massive index of publicly available images scraped from the open web.
This is the core engine. Facechek.id creates a mathematical facial map from the user’s selfie and compares it to the face on the ID. It returns a similarity score (e.g., 92.5%). Businesses can set their own threshold (usually >85% for standard KYC, >95% for high-risk transactions).
: Content creators can search for their own photos to see if their likeness is being misused or impersonated on third-party sites.