How to Check If an Image Is AI-Generated: 5 Evidence Signals
Learn how to check whether an image may be AI-generated using C2PA, OpenAI-style markers, EXIF metadata, byte markers, and forensic clues.
AI image provenance guides
These guides explain how to check whether an image may be AI-generated without pretending that any single signal is perfect. Start with the original file, review provenance first, and use detector-style clues as supporting context.
Learn how to check whether an image may be AI-generated using C2PA, OpenAI-style markers, EXIF metadata, byte markers, and forensic clues.
Understand what a C2PA checker can verify: manifests, claim signatures, trust policy, content binding, ingredients, and the limits of Content Credentials.
Compare AI image detectors with provenance checkers and learn why evidence reports are safer than binary real-or-fake claims.
Learn how OpenAI-style image metadata, C2PA markers, and provenance signals can help review AI image origin without overclaiming certainty.
No C2PA data is an inconclusive result, not proof that an image is fake or AI-generated. Learn why provenance metadata can be missing.
Learn why screenshots, reposts, and compressed copies often lose C2PA, EXIF, and marker evidence, and why original files produce better reports.
Learn how EXIF camera metadata can support image review, why it can disappear or be edited, and why camera-like evidence is not proof.
Understand how raw byte markers, C2PA strings, XMP labels, and provider hints can support AI provenance review without proving origin alone.
Learn what frequency analysis can reveal about AI images, why scores are not probabilities, and how compression or resizing can change results.
A practical checklist for verifying online images using original files, provenance reports, source context, reverse search, and cautious interpretation.