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How to Identify AI-Generated Images: A Complete Guide 

If you run an ecommerce business, you've probably wondered whether the product images your suppliers send you to upload on your website have been generated or retouched with artificial intelligence. Between suppliers sending pre-enhanced product photos, agencies using virtual models for their photo shoots, and retouching tools that now come with AI built in by […]
Legal Lawwwing
October 1, 2026

If you run an ecommerce business, you've probably wondered whether the product images your suppliers send you to upload on your website have been generated or retouched with artificial intelligence.

Between suppliers sending pre-enhanced product photos, agencies using virtual models for their photo shoots, and retouching tools that now come with AI built in by default, the true origin of an image has become difficult to trace. And since August 2nd, the EU's Artificial Intelligence Regulation will require you to identify this type of content, and failing to do so could result in substantial penalties.

In this article, we explain what visual signals you can spot with the naked eye, but more importantly, we provide you with the best solution specifically designed to know for certain and save yourself from penalties.

How Can I Spot AI-Generated Images at a Glance?

Although AI models are becoming increasingly sophisticated, there are still visual patterns that reveal their artificial origin. Here are the most reliable indicators:

  1. Hands and limbs. One of the most common AI errors is found in hands. For example, people appearing with an incorrect number of fingers, uneven finger lengths, or nails that sit unnaturally on the skin.
  1. Eyes, teeth, and ears. AI often struggles with facial details. Check for asymmetries in the pupils or whether the light reflections match between the eyes. As for the mouth, a smile may appear as a uniform white block with teeth stuck together with no clear separation, or even with gums that look blurry. Another key element to watch is the ears, look for deformed earlobes or extra folds.
  1. Skin and hair. AI-generated people often lack skin imperfections and appear without pores, wrinkles, or blemishes. You can also look at the hair for strands that don't look natural, or curls that repeat in the exact same way, revealing a generated pattern.
  1. Accessories. In many AI-generated images, glasses show reflections that don't match the scene, and jewelry doesn't seem to follow the rules of gravity.
  1. Lighting and shadows. AI can create shadows to add depth to an image, but it often ignores the rules of physics. It's worth checking whether shadows point in opposite directions under what should be a single light source, or conversely, whether shadows that should be there are missing.
  1. Architectural geometry. In images showing buildings or furniture, look for lines with strange curves. AI-generated images often show tiles that stretch or windows with disproportionate sizes.
  1. Reflections and shiny surfaces. Another thing to watch is surfaces that generate reflections, such as mirrors, glasses, or water. If an image has been AI-generated, the reflection is likely to not match the object or person in front of it, or the angle of the reflection may not be geometrically possible.
  1. Text, logos, and signage. Sometimes, in AI-created images, lettering appears distorted or signs show a meaningless jumble of symbols.
  1. Backgrounds, cutouts, and blurry edges. To hide its mistakes, AI often applies heavy blur to the background. So if you notice strange halos, or the background seems to bleed into parts of the hair or clothing, you're likely looking at a generated image.

The Reality: Why Visual Detection Is No Longer Sufficient

Just a few years ago, distinguishing an AI-generated image was relatively straightforward—you simply needed to look for the telltale details we just mentioned. However, those errors have largely disappeared today. This is because the latest image generation models produce results so detailed and coherent that, at first glance, they are virtually indistinguishable from real photographs. Even a trained eye cannot reliably guarantee whether an image is authentic or synthetic just by looking at it, making visual detection an increasingly unreliable method.

Is It Enough Not to Know? The Legal Obligation to Label AI Images

The European Union's Artificial Intelligence Regulation establishes that images generated or significantly manipulated by AI that could be confused with real content must be clearly labeled when published. This includes, for example, AI-generated people that appear realistic in a context that simulates authentic photography.

And here's the critical point: as a website owner, you are responsible for the content you publish—even if the image was sent to you by a supplier or agency.

Penalties and Consequences

The penalties for non-compliance can be substantial. If you'd like to understand in detail what happens if you fail to comply with the AI Regulation and how it could impact your business, we recommend reading our article "What Happens on August 2nd If Your Website Doesn't Comply with the AI Act?", where we analyze the penalties and enforcement procedures through Spanish authorities.

Our solution: AI Sentinel and Vericta

Since manual review isn't viable and visual cues are no longer reliable, the reasonable alternative is to use a tool that automatically and continuously analyzes all the images on your website. That's exactly what AI Sentinel, by Lawwwing, does.

AI Sentinel periodically scans the images published on your website and analyzes them with its own detection engine, trained on millions of images. The process identifies visual patterns imperceptible to the human eye that distinguish a real image from an AI-generated one, with over 98.5% accuracy.

Beyond compliance, we also care about your business. At Lawwwing, we believe that disclosing the use of AI-generated content shouldn't hurt your store's sales. That's why AI Sentinel doesn't place labels directly on your product images; instead, it presents this information through a floating, accessible widget that doesn't alter your website's design or the shopping experience. This way, our solution helps you comply with the AI Act without compromising your ecommerce experience.

That said, AI Sentinel is designed for a very specific use case: continuously auditing images that are already published on your own website. If your needs go a step further as verifying images before publishing them, validating content uploaded by your users or suppliers, or checking the authenticity of evidence within a legal process, the same Lawwwing team offers Vericta, an image and video verification API built on the same detection technology and with the same level of accuracy.

While AI Sentinel automatically monitors your website, Vericta lets you integrate that same detection capability directly into your own workflows.

In short: if you need to identify content already published on your site, AI Sentinel is the right tool; but if you also need to verify content before it enters your system, Vericta has you covered.

What happens if I publish an AI image without knowing it?

Technically, you're in breach of the AI Regulation. As a website owner, you bear the responsibility, even if you didn't know the image was AI-generated.

Do I need to label all images on my website?

You only need to label images that are actually generated or significantly manipulated by AI. Real images don't require a label. AI Sentinel helps you identify exactly which images are AI-generated or modified, so you only label the ones that need it.

What about retouched AI images (real image + AI)?

If the manipulation is significant, it must be labeled. AI Sentinel and Vericta detect both cases.

How do I know if my supplier is sending me AI images?

You won't always know. That's why it's important to verify with automated tools. Vericta can be integrated into your supplier onboarding process.

What accuracy rate do Vericta and AI Sentinel have?

AI Sentinel and Vericta offer accuracy above 98.5%. This means they correctly detect AI images in 98 out of 100 cases. The remaining 1.5% corresponds to edge cases where even human experts would hesitate.

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