The most reliable way to distinguish an AI-generated image from an edited photograph is to inspect its provenance record, such as Content Credentials, when one is available. That record may describe whether an image was captured, generated, or edited—but it is not conclusive proof, and its absence does not prove the image was AI-generated. Visual clues alone cannot establish the image’s history or whether the scene is real.
What the difference means
These labels describe different creation histories. A camera image may be edited after capture, an image may be generated from scratch by an AI model, or a photograph may be altered with generative tools. A credential can record a source type and actions taken, if those details were included in the record.
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- Camera-captured: The image originated with a camera. It may still have been edited later.
- AI-generated: A generative model created the image or a substantial part of it.
- Edited photograph: A captured image was changed after the fact. Edits can be conventional, generative, or a mixture of both.
These categories can overlap. For example, a camera image with a generative-fill change is both a photograph and an image modified with generative AI. C2PA guidance describes recording whether content was created anew, captured, generated by a model, or opened from an existing asset for editing: C2PA technical specification and implementation guidance.
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- Look for a Content Credentials or provenance option. Use the credential viewer or interface available for the image or service you are using. Not every file or platform exposes one.
- Check what the record actually says. Look for recorded source information—such as camera capture or model generation—and any listed editing actions. A broad AI label may not identify whether the whole image or only a small area was changed.
- Check validation and history details. A C2PA manifest is a record bound to an asset with a digital signature; a sequence of manifests can carry provenance information. Review whether the credential validates and whether it reports gaps or missing steps. See the C2PA security considerations and technical specification and implementation guidance.
- Describe only what the record supports. If the history says a photograph received a generative-fill edit, call it that. If it records a model-generated image, describe it as AI-generated. Do not infer a complete history from a partial record.
What a credential can—and cannot—tell you
A valid signed record can show what a signer recorded about an asset’s origin and edits. It does not guarantee that every step in the image’s history was captured, or independently prove that the signer’s statements are true. Most importantly, provenance does not establish that the depicted scene is factual. C2PA’s explainer puts it plainly: “Provenance information can help establish the truth about the origin, history and authenticity of digital content, but provenance information alone cannot tell you whether the digital content is true, accurate or factual.” Read the C2PA and Content Credentials Explainer.
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What it means when no credential appears
If there is no credential, there is no provenance record to consult through that mechanism. That is not evidence that the image was generated. A workflow may not support credentials, or a manifest may have been removed or separated from the image. C2PA discusses these limitations in its security considerations and explainer.
Without a usable record, the image’s history may remain unknown. Do not treat a missing credential as proof of either camera capture or AI generation.
Why visual clues are not a reliable verdict
An apparent inconsistency or odd detail may prompt closer scrutiny, but this evidence does not support using visual irregularities as a certainty test. The primary C2PA materials discussed here explain provenance recording and display; they do not validate a visual checklist or establish detection accuracy. A picture’s appearance alone cannot reliably tell you whether it was generated, edited, or captured.
Use precise labels for hybrid images
When the process is known, name it specifically: “AI-generated image,” “photograph with a generative-fill edit,” or “camera image with conventional edits.” The C2PA user-experience guidance warns that “Made with AI” can obscure whether an asset was fully or only partly generated, including cases where generative AI changed only small details. See C2PA User Experience Guidance for Implementers.
The practical distinction is between what the provenance record documents and what remains unknown. A record can help explain an image’s recorded history; neither its presence nor its absence settles whether the scene is true.
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