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Your image is used only to run the scan and is deleted from our server immediately after. We don't keep a copy.
Upload any image and True Pixel AI scores it instantly, showing you how likely it is to have come from an AI image generator rather than a camera.
Your image is used only to run the scan and is deleted from our server immediately after. We don't keep a copy.
Drop in a photo, illustration, or anything you're not sure about. JPG, PNG and WEBP are all supported.
Our model checks the image for the pixel-level fingerprints that generative tools tend to leave behind.
A percentage score and a plain verdict, so you know exactly how confident to be about what you're looking at.
This isn't a text tool with an image feature bolted on. Every part of the pipeline is built around checking pictures.
A scan takes a few seconds. You get a percentage and a plain verdict, not a wall of technical output to interpret.
Uploaded images exist on our server only for the duration of the scan, then they're deleted automatically.
There's no sign-up wall between you and your result. Open the page, upload, and scan.
what people actually use it for
A new supplier sent over "photos of the finished pieces" and something felt off about the wood grain in a couple of them. Uploaded one, came back 91%. Cancelled the order that same afternoon.
No login wall, which actually matters when you're checking fifteen stock images before a client call in twenty minutes. It's become my go-to AI photo detector, don't always agree with the exact score but it's usually in the right neighborhood.
A listing photo from the seller looked a little too perfect, lighting didn't match the rest of the set. Came back 87%. Asked for real photos instead and the buyer actually thanked me for catching it before it went live.
We get a lot of "my cat did this" posts that are pretty obviously not real. This backs up what the mod team already suspected, and it makes the removal conversation with a user way less of an argument.
Portfolio season is rough. This won't catch everything on its own, but it's one more data point when something in a submission just doesn't sit right.
Ran a couple of "damage photos" through this after the lighting looked inconsistent across a set. Score came back high on the ones that later turned out to be fabricated. It's not our only check, but it's in the rotation now.
Simple, does what it says, doesn't ask for my email before showing a result. That alone puts it ahead of half the tools I've tried this year.
Vet every new supplier's product photos through True Pixel AI before agreeing to stock anything. Takes about thirty seconds and it's already saved me twice this year.
Anyone who spends real time online has run into a photo that felt slightly wrong, skin too smooth, hands with one too many fingers, a background that doesn't quite add up. That instinct is usually worth trusting. Millions of images are produced by AI tools every day, and a lot of them are good enough to fool a quick glance. True Pixel AI is built to answer one specific, useful question: does this photo show the signs of coming from an AI image generator, or does it look like something a camera actually captured? Upload a picture, wait a few seconds, and you get a percentage score and a plain verdict instead of a guess.
True Pixel AI started from a simple idea: most people don't need a research paper about diffusion models, they need an AI image checker they can actually use in the middle of a workday. Drop in a photo you're unsure about, and the tool runs it through a detection model trained to spot the fingerprints that generative systems tend to leave behind. There's no account to create, and no image is kept anywhere once the scan finishes. You get a result, and then it's gone.
An AI-generated image is a picture produced by a model rather than captured by a camera. Tools like diffusion-based generators build an image piece by piece from a text prompt, which is a fundamentally different process than pointing a lens at something real. That difference in process leaves a difference in the file itself, small statistical patterns in color, texture, and edges that a trained model can pick up on even when the image looks convincing to a person scrolling past it. AI image detection is the practice of looking for exactly those patterns, and it's become more relevant every year as generated images have gotten harder to spot with the naked eye alone.
Checking a photo doesn't need to be complicated. Here's the actual process, start to finish:
Under the hood, an AI image detector isn't looking at a photo the way a person does. It's comparing statistical patterns against what's typical of a real camera sensor versus a generative model. Some of the signals it pays attention to:
None of these signals is proof on its own. It's the combination of all of them that produces a usable score.
It's easy to mix these two terms up, so here's the short version: an AI image generator creates images, and an AI image detector checks them. They're built for opposite jobs.
| AI Image Generator | AI Image Detector |
|---|---|
| Creates a new image from a text prompt or reference | Analyzes an existing image and scores it |
| Used by designers, marketers, and hobbyists to produce visuals | Used to check whether a visual came from a generator |
| Output is a picture | Output is a percentage and a verdict |
| Examples include diffusion and GAN-based tools | Examples include True Pixel AI |
As generators have improved, the gap between "obviously fake" and "obviously real" has narrowed, which is exactly why an image checker earns a place in the workflow now. A few years ago, most people never needed one.
A handful of reasons people keep coming back to this specific tool:
Beyond the core scan, a few things make this particular AI photo detector worth bookmarking:
Generated images aren't inherently a problem. Plenty of legitimate design and marketing work relies on them. The trouble starts when a generated image is presented as something it isn't: a real product photo, a real news event, a real person's face on a dating profile or a job application. Detection matters because trust in what we see online has gotten measurably harder to take for granted. In practice, that shows up as:
This isn't a tool built for one narrow profession. In practice, the people who use it most often are:
If you've ever stared at a photo and thought, is this image AI, the fastest way to get an actual answer is to run it through a detector rather than argue about it in a comment thread. The process is short:
In everyday use, AI photo detector and AI photo checker mean the same thing, and people reach for both phrases when they're looking for a tool like this one. If there's a small distinction worth drawing, it's that "detector" leans toward the technical process, the model analyzing the file, while "checker" leans toward the everyday action of you checking a photo before you use it. True Pixel AI works as both: the detection happens automatically, and the checking is the part you do by uploading a file and reading the result.
No detector, including this one, is right every single time. Heavily edited, resized, or recompressed images can throw the score off in either direction, and an image that's been through several rounds of filters can sometimes register as more "AI-like" even if it started as a real photo. A few things that affect accuracy:
A false positive is a real photo scored as likely AI-generated; a false negative is a generated image that scores as likely real. Both happen occasionally with every detector on the market today, which is exactly why the result here is shown as a confidence score rather than a flat verdict. It's meant to be one signal you weigh alongside your own judgment, not a final ruling.
It's a tool that analyzes a photo and estimates how likely it is to have come from an AI image generator rather than a camera, usually returning a percentage score.
In practice, none. Both terms describe the same kind of tool. People search for either phrase depending on how they think about the task.
The model is trained to recognize patterns common across most modern generators, though accuracy can vary with very new or unusual tools it hasn't seen examples from yet.
Yes. Every scan is free, with no account and no hidden limit on how many images you can check.
No. Images are used only to run the scan and are deleted from the server immediately afterward.
Accuracy depends heavily on the image itself. Heavily edited or low-resolution photos are harder to score reliably. Treat the result as a strong signal rather than a certainty.
To some degree, yes. Filters, resizing, and recompression can all shift a score, which is one reason no detector should be the only check you rely on.
JPG, PNG, and WEBP, up to 8 MB per file.
You can get a strong indication in seconds by uploading it, but for anything with real stakes attached, like a legal dispute or a major purchase, treat the score as one part of the picture, not the whole answer.
Your next scan takes less time than reading this sentence took.
Scan for free