AI image detector vs deepfake detector

Main difference

AI image detection asks whether an image, in general, was created or substantially altered by a generative model. Deepfake detection asks a narrower, identity-focused question: has a specific person's face or likeness been synthetically inserted, swapped, or manipulated.

When to use each

Use AI image detection when evaluating whether any image — a product photo, artwork, or listing image — was AI-generated. Use deepfake detection specifically when identity or impersonation is the concern, such as dating profiles, video calls, or reputation-related content.

• AI image detector: was this created by AI, generally
• Deepfake detector: has this person's identity been manipulated
• Both can apply to the same image
• PhotoProof AI runs both signal types together

Recommended workflow

For identity-sensitive contexts, run both checks together: a general AI-generation probability score alongside face-consistency and manipulation analysis, then review metadata and source context before drawing a conclusion.

Can an image be flagged by one detector and not the other?

Yes. A fully AI-generated face with no real identity behind it may score high on AI-image detection but is not a deepfake in the identity-impersonation sense.

Which is more relevant for dating-profile checks?

Both matter, but deepfake and face-consistency signals are typically more directly relevant, since the core risk is a misrepresented identity rather than AI generation alone.