Does AI Photo Restoration Change Faces? How to Check
AI keeps a face the photo still shows and invents one that damage or size hides. Here's how to check yours in 30 seconds, and what to do if it's off.
You ran Grandma's photo through an app. The scratches are gone, it's sharp, it's lovely. And something about it isn't quite her.
Or you haven't tried yet, because that's exactly what you're afraid of. Here's the short answer: an AI restorer keeps a face the photo still shows, and invents one where damage or size has hidden it. So judge the result against the original, not by how good it looks.
The short version
- 1. Start from the best copy. The biggest, clearest one you can find, with the face large in the frame.
- 2. Compare at the same size. Flip between the original and the restored version and watch the eyes, ears and mouth.
- 3. Ask someone who knew them. Before you print it or send it to the family chat.
One photo, two very different results
This portrait was taken in Sweden around 1907: four sisters and their father, with their late mother in a small inset at the top. Over a century, patches of the picture's surface flaked away. One sister's face, on the left, came through almost untouched. The sister in white, in front, wasn't so lucky: you can make out a nose, a mouth and the shadow of two eyes, and little else.
Restored, the whole photo looks wonderful. Now look closely at the sister in white.
The photo
Restore 1
Restore 2
Restore 3
We restored this photo three times and got three different women: a round-faced girl, an older woman with a broader face, and a slimmer woman with auburn hair. Each one is convincing. In the damaged original she looks young, yet the second restore made her look years older. None of them can be checked, because the photo no longer holds enough of her face. She was a real person, and these are three guesses at her.
Her sister on the left, whose face was intact, came back as herself in all three versions, just cleaner. Same three settings, same tool. The difference was how much of each face the photo still had.
Even she got a little polish, though. The color version gave her fuller lips and smoother skin. Small “improvements” like that creep in even when a face is clear, so they're worth looking for too.
Why the AI can only keep what the photo still shows
An AI restorer redraws the whole picture from the pixels you give it. Where those pixels clearly show an eye, it keeps that eye. Where they don't, it fills the gap with what eyes usually look like.
Two things take those pixels away. One is damage, like the flaking above. The other is size: a face in a group shot or a little wallet print can be just 40 pixels wide in the scan, and at that size an eye is a few gray dots. Watch it shrink:
That's why the same tool can be faithful to one face and inventive with the next, in the same photo. It's also why a sharper result can be less true. A blurry face that stays blurry is honest. A blurry face that comes back crisp got its detail from somewhere, and it wasn't your photo.
The 30-second check
Don't judge the restored photo on its own. A sharp face looks right because it looks like a face. The question is whether it looks like this face.
Open both versions at the same size and flip between them in the same spot. On a phone, put them next to each other in your photo app and swipe back and forth. Changes that hide in a side-by-side jump out when the picture flips. Try it on the two women from the portrait:
Every feature lands back inside its ring. Cleaner and sharper, and still clearly her.
While you flip, look at the things that make a face someone's:
- Eyes. How far apart, how deep set, the shape of the lids.
- Ears. Size, and whether they stick out.
- Teeth. AI loves an even, bright smile. Was theirs?
- Hairline. Where it starts, a widow's peak, a part.
- Glasses. Same frames, or any frames at all.
- Marks. Moles, freckles, a scar, a crooked nose.
Then show it to someone who knew them. A daughter will spot the wrong chin in a second, where you or I would never notice.
The original is the answer key. Keep it next to the copy whenever you check a face.
If it isn't quite them
Don't keep re-running the same blurry copy and hoping. Give the AI more to work with.
- Find a better copy. The original print beats a phone photo of it, and a cousin's print may be in better shape than yours. Scan it at a size where the face fills plenty of pixels (our guide to scan settings has the numbers). For a big group photo, also try a copy cropped close around the face.
- Leave quality on High. If you're signed in, you can pick a quality level, and it starts on High. In our tests, the cheaper Normal setting changed faces more, so don't switch it down for a photo that matters.
- Try again, then compare. Each run is a fresh attempt, and with a clear face one may simply come out cleaner. With a lost face, a new run gives you a new guess, not a truer one. Re-rolling until someone looks “right” picks a stranger you like.
- Pay a person for the one that matters. When a face is mostly lost, a human restorer can work from other photos of the same person and check with you as they go.
Our photo restorer is told to keep the people and the layout as they are, and nobody can type their own instructions into it. That helps with clear faces. It can't bring back a face the photo has lost, and no tool can.
Human editors draw the same line. The big Reddit editing community r/PhotoshopRequest now bans synthesizing entirely new faces on a standard restoration.
So call your result “restored” only if it still looks like them. If the AI drew the face, call it a reconstruction, and keep the original beside it. If it's for a service on a deadline, our funeral photo guide walks through it.
You can try the restorer free without an account, up to two photos a day, shared with our other photo tools. Free results are a watermarked preview, fine for checking the face with family. Clean, full-size downloads come with a paid plan.
Restore a photo, then check the face
Upload your best copy, flip between the original and the result, and show the family. Try it free; clean downloads are on paid plans.
Quick questions
Does AI photo restoration change faces?
It can. When a face is clear in the original, a good restorer keeps the person. When damage covers the face, or it's tiny in the frame, the AI fills in what's missing and can draw someone else. Always compare with the original.
Can I tell the AI not to change the face?
Our restorer is already told to keep the people and the layout as they are, and nobody can type their own instructions into it. That helps, but it can't keep features the photo no longer shows. A better source copy is the real fix.
Why does the restored face look younger or prettier?
Where the photo is unclear, the AI fills in with what faces usually look like, and that average tends to be smooth, even and young. Check wrinkles, lips and teeth against the original. It can also go the other way and add years.
Is a restored photo still the real person?
If the face was clear in the original and family recognize them, yes. If the face was mostly lost and the AI drew it, it's a reconstruction. Label it that way and keep the original with it.
Images: the Wallin family, c.1907, by Carl Jette, probably Nyköping, Sweden (inset c.1877, photographer unknown). Released into the public domain by the Southerly Clubs of Stockholm via Wikimedia Commons. Cropped by us and restored with our tool. Illustrations and videos: ours, the videos made from the Wallin portrait and our restores of it.
Try it on one of your own photos
Most of our photo tools have a free version. Upload a picture and see what it does before you decide anything.