AI Image Detection
Look for metadata clues, software tags and content-credential hints.
What is C2PA?
C2PA is an industry effort for content provenance and authenticity. Some tools embed credentials that can survive in image files.
Why some AI images cannot be detected
Many tools do not add clear metadata, and screenshots or exports can remove it. This tool can only evaluate what is still present.
How to verify image authenticity
Combine metadata review with source checks, reverse image search and contextual judgment when the decision matters.
How AI detection works
- C2PA: Looks for content credential hints and related provenance strings.
- EXIF: Checks software, creator and export-related metadata fields.
- Signatures: Searches for common AI-related labels or processing traces.
Why use AI Image Detection?
AI image detection is best treated as clue collection, not truth serum. This page checks metadata and explains the limits of what those signals can really prove.
Highlight AI-related markers that are easy to miss manually.
Explain the limits of metadata-based detection honestly.
Give a fast first pass before deeper verification.
Common use cases
Review marketplace or user-submitted images.
Teach teams what AI-related metadata can and cannot show.
Check whether exported files still carry AI software traces.
FAQ
Can this prove an image is human-made?
No. A clean result only means no supported markers were found. Metadata can be stripped or never added.
Why is the confidence score not proof?
The score reflects how strong the detected clues are, not a forensic certainty.
What should I combine this with?
Use reverse image search, source checks, visual inspection and context when the decision matters.
Related tools
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