There is no reliable visual tell that proves an image was made by AI. To investigate one, start with the best-quality file you can obtain, check its provenance signals, and trace where it appeared before. Treat each result as evidence with limits: a detected signal may identify a tool or issuer, while no signal does not prove a person made the image.
What can—and can’t—identify AI-generated art?
AI authorship is not something you can establish from appearance alone. Visual oddities may prompt closer inspection, but they are not proof. A stronger approach combines file provenance, supported watermark checks, and source-history research.
The Coalition for Content Provenance and Authenticity (C2PA) defines provenance as “the facts about the history of a piece of digital content (also known as an asset) in a form such as an image, video, audio recording, or document.” C2PA’s explainer describes Content Credentials as a way to record information about an asset’s origin and changes, including AI use where that information is included.
These signals document what a file or verifier can establish; they do not, by themselves, establish whether the image depicts a real event, who the individual creator was, or who owns the rights.
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How to check an image’s provenance and source
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Get the best available file
Use the original image file if you can, rather than a screenshot, preview, or social-feed copy. Editing, conversion, compression, cropping, screenshots, and sharing can remove or weaken metadata and other signals. OpenAI’s content provenance guidance explains why the file’s history and condition matter.
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Inspect Content Credentials
Open the image in a compatible viewer or verifier and look for a C2PA manifest. Review the issuer, validation status, and any available assertions about creation or editing. A credential can document a file’s recorded history, but its presence is optional; no credential may simply mean none was embedded or preserved.
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For background on how credentials work and what they can contain, see the C2PA and Content Credentials explainer.
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Check supported watermark or vendor signals
OpenAI’s public verification tool checks for supported C2PA and SynthID signals associated with OpenAI tools. It is not a general-purpose AI detector and does not identify images from every AI system. A positive result should be described as detection of the particular supported signal, not as universal proof of AI authorship. See OpenAI’s content provenance overview, its Help Center explanation of provenance signals, and its overview of content provenance work.
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Trace the image’s earlier appearances
Run a reverse image search to look for earlier copies, related images, or a likely publisher. Google’s guidance for verifying AI-generated images, videos, and audio recommends reverse image search as one way to investigate media. A match can help you find context or an earlier source, but it does not prove that the image accurately depicts the event it is associated with.
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Describe the finding precisely
Report what the check actually found and name the verifier or issuer when available. For example: “The verifier detected a supported credential issued by X.” If the check finds nothing, say it found no supported signal. Do not turn a negative result into a claim that the image is human-made.
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What each method tells you
| Method | Evidence | What a result can mean | Main limitation |
|---|---|---|---|
| Content Credentials or C2PA viewer | Recorded provenance assertions and validation information | A credential may identify an issuer and state details about origin or edits recorded in the file | Credentials are optional, and processing or sharing may remove them. A credential does not establish accuracy, ownership, context, or a specific person’s identity. |
| Supported watermark or vendor verifier | A supported embedded signal, such as a signal checked by a vendor tool | A positive result indicates that the verifier detected a signal it supports | Coverage is limited to supported signals and providers; no detection is inconclusive. |
| Reverse image search | Matches to images already indexed by the search service | Possible earlier copies, related images, or a lead to a publisher or source | A match is not proof of when an image was created or whether its associated claim is true. |
How to interpret a positive or negative check
If a signal is detected
Name the signal and issuer shown by the tool, and distinguish that from what remains unknown. Detection can support a claim about recorded provenance or a supported watermark; it does not prove that the depicted scene is accurate, establish legal ownership, or identify the human creator or their account.
If no signal is detected
That result does not establish human authorship. The image may come from a provider the checker does not support, lack optional credentials, predate a particular signal, or have lost or degraded its signals during editing or sharing. The result means only that this check did not detect a signal it supports.
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If reverse search finds an earlier copy
Use the earlier appearance as a lead: inspect the publisher, date, caption, and surrounding context, and compare the files. An earlier indexed copy helps build a timeline, but the search match alone cannot authenticate the scene or settle who created it.
When to seek additional review
For consequential decisions—such as assessing evidence, moderation, or a public claim—do not rely on one tool or a visual judgment. Preserve the original file when possible, record which verifier was used and what it reported, investigate the image’s source history, and seek human review. State uncertainty plainly when the available evidence cannot establish origin or context.
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