How to detect AI-generated images on your website
Learn how to detect AI-generated images using C2PA provenance, invisible markers like SynthID, and visual artifacts, and why it matters for copyright risk.
How to detect AI-generated images on your website
To detect AI-generated images, check three things: C2PA Content Credentials (tamper-evident provenance metadata that tools like Adobe Firefly attach), invisible generator markers such as Google's SynthID, and visual artifacts like distorted hands, garbled text, or inconsistent lighting. No single check is conclusive, so the practical approach is to scan every image on your site with a tool that reads these signals and returns a per-image risk score. This matters because AI images usually cannot be copyrighted, yet they can still infringe someone else's copyright.
Below is a step-by-step method for spotting AI-generated images, plus why disclosure and copyright risk both depend on getting this right.
Why detecting AI images matters for your website
There are two separate reasons to care whether an image on your site was made by AI.
The first is disclosure and trust. Search engines, ad networks, and some jurisdictions increasingly expect sites to label AI-generated visuals. Publishing synthetic images as if they were real photography can erode reader trust and, in regulated niches (finance, health, news), create compliance exposure.
The second is copyright risk, and this is where most site owners get caught off guard. AI images sit in an unusual legal position:
- They generally cannot be copyrighted by you. Under current US Copyright Office guidance, works lacking human authorship typically are not eligible for copyright protection. If you generated an image purely from a text prompt, you likely do not own an enforceable copyright in it, which affects how you can license or defend it.
- They can still infringe someone else's copyright. Generators are trained on huge datasets, and outputs sometimes reproduce protected elements: a recognizable character, a distinctive photograph's composition, or a stock-agency image the model absorbed. If an AI output closely mirrors a protected work, using it can trigger the same enforcement as any other unlicensed image.
That second point is the one that turns into demand letters. Enforcement firms like Higbee & Associates and PicRights pursue unlicensed image use aggressively, and Getty Images runs perceptual-hash crawling through PicScout to find matches across the web. US statutory damages run from $750 to $30,000 per work, and up to $150,000 per work for willful infringement (17 U.S.C. 504). Whether an image was "made by AI" is not a defense if the output copied a protected work.
If you want the deeper legal picture, see our guide on whether AI-generated images can be copyrighted.
Method 1: Read C2PA Content Credentials (provenance metadata)
The C2PA Content Credentials standard embeds tamper-evident provenance metadata directly into a file. When a supporting tool creates or edits an image, it records what generator was used and what edits were applied, then cryptographically signs that record so alterations become detectable.
Several AI tools attach these credentials automatically. Adobe Firefly is a notable example: images it produces carry Content Credentials that identify them as AI-generated. Adobe's own apps and the public verify tools can read the manifest back out.
How to check manually:
- Open the image's metadata (many viewers show a "Content Credentials" or "cr" section).
- Look for a signed provenance manifest naming a generative tool.
- Note that the signature makes tampering evident, but it does not prove authenticity if the credential is simply absent. Plenty of AI images have no C2PA data at all.
Limitation: provenance metadata is easy to strip. Re-saving a file, screenshotting it, or running it through an editor that ignores C2PA can remove the credential entirely. So a present credential is strong evidence, but a missing one tells you nothing.
Method 2: Look for invisible AI markers like SynthID
Some generators embed markers that are invisible to the eye and designed to survive common edits. Google's SynthID is the best-known example: it watermarks the pixels themselves, so the signal can persist through cropping, compression, resizing, and color adjustments that would destroy ordinary metadata.
This is a meaningful complement to C2PA. Where Content Credentials live in the file's metadata and can be stripped, an invisible pixel-level marker travels with the image content. Detecting it usually requires the matching detector, which is why tooling matters here more than manual inspection.
Limitation: invisible markers only exist if the generator added them. Many models add nothing, and coverage varies by provider, so absence again proves little.
Method 3: Spot visual artifacts by eye
Before any tooling, a quick human review catches a lot. Common tells in AI-generated images:
- Hands and fingers: extra digits, fused fingers, impossible joints.
- Text: garbled or nonsensical lettering on signs, labels, and packaging.
- Symmetry and repetition: repeating background patterns, mismatched earrings, teeth that blur together.
- Lighting and reflections: shadows that fall the wrong way, reflections that do not match the scene, plastic-looking skin.
- Fine detail breakdown: jewelry, hair strands, and fabric weaves that dissolve into mush on close inspection.
Artifacts are getting rarer as models improve, so treat this as a first-pass filter, not proof. A clean-looking image can still be AI-generated, and a flawed one can still be a real photo.
Comparison: AI image detection signals at a glance
| Signal | What it is | Survives edits? | Present on all AI images? | Best for |
|---|---|---|---|---|
| C2PA Content Credentials | Signed provenance metadata (e.g. Adobe Firefly) | No, easy to strip | No | Confirming AI origin when metadata is intact |
| Invisible markers (SynthID) | Pixel-level watermark | Often, by design | No | Detection after cropping/compression |
| Visual artifacts | Hands, text, lighting flaws | N/A | No, and fading | Fast human first pass |
| Reverse-image lookup | Finding the source or matches | N/A | N/A | Spotting reproduced protected works |
The takeaway: no single method is reliable alone. A layered check that reads provenance, looks for known markers, and cross-references sources gives you a far better picture than any one signal.
How to scan every image at once with an AI image detector
Checking one image by hand is fine. Checking a whole WordPress media library, a Shopify catalog, or a blog archive by hand is not realistic. This is where an automated scanner helps.
PixGuard's AI image detector checks images for AI-generation markers, along with visible and invisible watermarks, stock-agency fingerprint matches, EXIF and metadata clues, and reverse-image source lookup. Instead of a yes/no verdict, it returns a per-image risk score so you can prioritize what to review.
An important honesty note: PixGuard flags images for review and estimates copyright risk. It does not confirm infringement, and it is not legal advice. The goal is to surface which images on your site deserve a closer look, whether because they carry AI markers, match a stock fingerprint, or lack a clear license trail.
To scan your whole site, paste your URL and let it crawl the page's images, or upload individual files. If you want a broader copyright audit rather than AI detection specifically, start with a free image copyright check. If you run WordPress, the PixGuard WordPress scanner audits your media library uploads directly. For a step-by-step on auditing an existing site, our post on how to check your website's images for copyright walks through the full process.
What to do once you have flagged AI images
Finding them is step one. Then:
- Decide on disclosure. If your niche or platform expects AI labeling, add it. Transparency is cheap insurance.
- Assess reproduction risk. For any AI image that resembles a known work, character, or stock photo, treat it as higher risk and consider replacing it.
- Fix your licensing trail. Because you likely cannot copyright a purely AI-generated image, do not rely on it as a "safe" original. Keep records of prompts and tools used.
- Replace anything ambiguous. When in doubt, swap in a properly licensed image or your own photography. The cost of a replacement is trivial next to a demand letter.
If a claim does arrive, note that US site owners have options beyond simply paying: DMCA takedown procedures, and the Copyright Claims Board (CCB) as a small-claims venue. None of this is legal advice, and a lawyer should review any actual demand.
Frequently Asked Questions
Can you always tell if an image is AI-generated?
No. Detection depends on signals that may or may not be present. C2PA Content Credentials can be stripped, invisible markers like SynthID only exist if the generator added them, and visual artifacts are fading as models improve. The reliable approach is to layer multiple checks and treat the result as a risk estimate, not a certainty.
Are AI-generated images copyrighted?
Generally not by the person who prompted them. Under current US Copyright Office guidance, works without human authorship typically are not eligible for copyright. That said, an AI output can still infringe an existing copyright if it reproduces protected elements from its training data, so "it's AI" is not a defense against an infringement claim.
What is C2PA and how does it help detect AI images?
C2PA Content Credentials are tamper-evident provenance metadata embedded in a file. Supporting tools such as Adobe Firefly attach a signed record showing the image was AI-generated. If that credential is present and valid, it is strong evidence of AI origin, though a missing credential does not prove an image is human-made.
Does SynthID survive editing?
Google's SynthID is designed to be an invisible, pixel-level marker that persists through common edits like cropping, resizing, and compression, which typically remove ordinary metadata. Detection usually requires the matching detector, and coverage is limited to generators that add it.
Does PixGuard confirm an image infringes copyright?
No. PixGuard checks for AI-generation markers, watermarks, stock-agency matches, metadata, and image sources, then returns a per-image risk score. It flags images for review and estimates copyright risk. It does not confirm infringement and is not a substitute for legal advice.
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