Authenticity is broader than AI detection
An image can be authentic but misleading, or AI-generated but clearly labeled. Authenticity review should consider source, timing, caption, metadata, and visual context.
Metadata clues
Camera, software, dimensions, and file type can provide useful clues. They can also be stripped or edited, so they should not be treated as final proof.
The safest workflow is to combine the checker result with source history, caption review, and corroborating evidence.
Use the result as a checklist
A high AI signal, missing metadata, or suspicious context should push you toward more review, not an instant conclusion.
Image authenticity FAQ
Can an authentic photo have no metadata?
Yes. Many platforms remove metadata during upload or compression, even when the original image is real.
Can AI-generated images be clearly labeled?
Yes. Authenticity review should consider whether the image claim is honest, not only whether the pixels are synthetic.