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The most reliable way to distinguish an AI-generated image from an edited photograph is to inspect its provenance record, if one is available. Content Credentials can record an image’s source and editing actions, but they are not conclusive proof: a missing record does not identify how an image was made, and a record cannot prove the depicted scene is true.
What makes an AI-generated image different from an edited photo?
An AI-generated image is created by a generative model, either wholly or in part. An edited photo begins with a camera capture and is changed afterward. Those histories can overlap: a photograph might receive conventional adjustments, a generative fill, or other AI-assisted edits. The distinction is about how the image was made, not simply how realistic it looks.
C2PA’s guidance describes recording information about whether an asset was created anew, captured, generated by a model, or opened from an existing asset for editing. When such source and action records are present, they can help explain the difference. C2PA User Experience Guidance for Implementers
How to check an image’s Content Credentials
- Look for a provenance or Content Credentials view. Use a viewer or platform that exposes the image’s credential, when available. C2PA describes a manifest as a record bound to an asset with a digital signature; a sequence of manifests can carry provenance information. C2PA Technical Specification, version 2.4
- Check the recorded source. Look for what the record says about capture, creation, or generative-model output. Treat this as what the credential records, rather than as an independent guarantee about the scene.
- Review the listed actions. See whether the history describes edits, and whether it indicates conventional editing or generative changes. A hybrid image should be described specifically when the record supports it—for example, a camera photograph with a generative fill edit.
- Check validation and any reported gaps. A credential’s validation status and history can indicate whether the record is intact and whether steps are missing or undocumented. An intact record still reflects recorded claims, not necessarily every action that ever occurred.
What provenance can—and cannot—tell you
A signed provenance record can help establish the recorded origin and editing history of a digital asset. It cannot establish that every step was documented, that the signer’s claims are true in a broader factual sense, or that the pictured event happened as presented. C2PA’s explainer states that provenance information alone cannot tell you whether digital content is true, accurate, or factual. C2PA and Content Credentials Explainer, version 2.2
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If no credential is available, there is no provenance record to consult through that mechanism. The absence is inconclusive: a workflow may not have recorded provenance, or a manifest may have been removed or separated from the image. C2PA Security Considerations, version 2.4
Why visual clues are not a reliable verdict
Visual inspection alone does not provide a dependable yes-or-no test on the evidence available here. A visual oddity may prompt closer scrutiny, but it does not prove that an image was generated. The C2PA materials cited here address provenance recording and display; they do not establish a visual checklist or detection-accuracy rate.
Be equally cautious with broad labels. C2PA’s user-experience guidance notes that “Made with AI” does not clarify whether an image was fully generated or only partly edited with generative AI. When the process is known, a more precise description—such as “AI-generated image,” “photograph with generative fill,” or “camera image with conventional edits”—communicates more. C2PA User Experience Guidance for Implementers, version 2.2
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- Credential present and informative: Use its recorded source and actions to understand the documented history, while keeping the limits of provenance in mind.
- Credential present but incomplete or unclear: Report only what the record actually says; do not infer undocumented steps.
- No credential found: Treat the image’s creation history as unverified by that method, not as proof of AI generation or proof of an untouched photograph.
- Only visual clues available: Avoid a categorical label unless other reliable evidence supports it.
The C2PA materials do not provide a validated percentage for how accurately people or tools can distinguish generated images from edited photographs by appearance alone. A confident classification requires evidence beyond an image’s look.
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