How to make AI images look real
An AI image looks fake when it is too perfect: plastic skin, flawless light, odd hands and text, an evenly blurred background and no grain. Fix the eye first with a prompt that asks for natural light, a phone lens and small flaws, then retouch the weak spots. Fix the file last: add sensor grain and lens fringing, and save a camera JPEG with real phone EXIF. PassReal handles that last part in one upload, and the first 3 images are free.
Last updated: 2026-10-08
Two ways an AI image gets caught
People ask how to make AI images look real as if there were one problem. There are two, and they need different fixes.
The first is what the eye sees. A viewer has a feeling that something is off before they can say why. The second is what the file shows. A system does not have feelings. It reads the records inside the file and the statistics of the pixels. An image can pass one test and fail the other, so it pays to handle both in order.
What gives it away to the eye
- Skin without texture. No pores, no fine lines, an even shine. See how to fix plastic skin in AI images.
- Light that is too good. Soft, even, flattering light on every subject, with no harsh shadow and no blown highlight.
- Hands and fine structure. Extra or fused fingers, rings that melt into skin, glasses with mismatched arms.
- Text. Signs, labels and shirt prints with letters that almost work.
- Background blur. The same soft blur everywhere, instead of focus that falls off with distance.
- Symmetry and tidiness. Faces, rooms and crowds that are too orderly.
- No grain. Even in good light, a phone photo has fine noise, and it is easy to see when it is missing.
Prompting for realism
The cheapest fix is at generation. A few habits change the result a lot.
Describe a camera that real people use: a phone main lens, a casual snapshot, window light on a cloudy day. Say where the light comes from, since "natural light" alone is vague. Ask for ordinary imperfections such as a creased shirt, mixed colour temperature or something slightly out of place on a shelf. Drop the quality words. Terms like masterpiece and ultra detailed push a model toward the polished look you are trying to avoid.
Ask for fewer subjects as well. Every extra hand, face or sign is another place to go wrong.
Retouching what is left
Zoom to full size and work in this order: hands, text, edges, skin. Inpaint small regions rather than regenerating the whole frame, so you keep what already works. Then adjust the picture as you would a phone shot: slightly lower contrast, softer highlights, a colour balance that is a little off. Over retouching brings the smooth look back.
What gives it away to the file
Once the picture holds up to the eye, look at the file. Generators such as Gemini, ChatGPT and Adobe Firefly write provenance records into the export: a C2PA manifest, an IPTC field naming a trained model, XMP tool names. On one Gemini export we counted 174 markers. The pixels are too clean, with none of the brightness-dependent grain or lens colour fringe a sensor adds, and a generator PNG has no camera EXIF.
You can clean this by hand. ExifTool removes the records, an editor adds grain, and a JPEG export with matching EXIF finishes the job. PassReal does the same in one upload: it strips every metadata family, simulates the sensor, smooths the high frequencies and re-encodes as a camera JPEG, then shows SSIM and PSNR for your image. Three images are free. The method in full is in how to add camera noise to an AI image.
Limits
This will not turn a weak picture into a strong one. It cannot remove SynthID, which Google says survives edits, and it cannot remove a drawn logo or visible text. If a public AI image detector flags an image you paid PassReal to process, email us within 14 days and the payment is refunded, as set out in section 7 of the Terms of Service.
Questions
Why do AI images look fake even when they are sharp?
Sharpness is not the problem. Models are trained on polished photographs, so they produce skin with no pores, light that falls too evenly, and backgrounds blurred by the same amount everywhere. Real photos have uneven focus, noise and clutter.
Does adding grain make an AI photo look real?
It helps the surface feel less synthetic, but grain alone does not repair bad hands or plastic skin. Use it as the final step, after the image is already convincing to the eye.
Can PassReal fix hands, text or skin?
No. It adds sensor-style grain and lens fringing, smooths the frequency spectrum, strips metadata and writes phone EXIF. Content problems have to be fixed at generation or by inpainting before you upload.
Does making an image look real remove an AI label?
Not by itself. Labels such as Meta's AI info come from standard markers in the file and from what the user declares, so how real the picture looks does not change them. Cleaning the file is a separate step, and it does not remove SynthID or a visible watermark.
Do I still have to disclose that an image is AI-generated?
Often yes. Platform rules and local law can require it, and a realistic result raises the stakes. Check the rules of the place where you publish.
Limits
Naturalization operates on the pixels and on the file, not on the content of the image. A subject that is implausible - six fingers, inconsistent reflections, text that does not read - stays implausible after processing, and a human reviewer will notice it. PassReal changes what a statistical classifier measures, not what a person sees.
Results vary by generator, by subject and by detector, and detectors are retrained. No pass rate is published on this page because none has been measured in a way that would still hold next month.
Three images, no card, no expiry.