AI Photo Retouching
Rescue faces the camera never captured cleanly. snapnedit's AI photo retouch rebuilds soft, small, pixelated, or scanned portraits — reconstructing believable eyes, hair, and skin texture so a face comes back sharp instead of mushy. It runs free in your browser with no sign-up, no watermark, and self-hosted AI, so your photos stay yours.
Drop a PNG, JPEG, or WebP here, or click to choose a file.
When AI photo retouching actually helps
Reach for retouch when the face itself is the problem, not the lighting. It shines on old prints scanned at low DPI, a relative who is tiny in a group shot, a screenshot saved and re-saved until the JPEG artifacts smeared every feature, or a distant candid where the face is only a few dozen pixels wide. In all of these the underlying detail was never recorded cleanly, so ordinary sharpening only crisps the mush. The face-restoration model instead invents plausible high-frequency detail — eyelashes, hairlines, lip edges, pore-level skin — guided by what little the photo preserved, turning a blurry smudge back into a recognizable portrait you would be happy to print or share.
How snapnedit reconstructs a face
Upload a portrait and the tool locates each face, then runs a dedicated restoration model that predicts the detail a clean capture would have contained and paints it back at higher fidelity. Because it reconstructs rather than merely filters, it recovers structure a sharpen slider cannot: defined iris and eyelid edges, individual strands at the hairline, and natural skin micro-texture instead of a waxy blur. Tone is evened across the face at the same time so patchy scans and harsh compression stop fighting the result. Everything happens locally on snapnedit's self-hosted AI — no third-party upload, no account, and the export carries no watermark on PNG or JPG.
Retouch, Beautify, Unblur, or Upscale — which to pick
These four overlap, so match the tool to the flaw. Retouch is for a face that is genuinely degraded — soft, small, compressed, or scanned — and needs detail rebuilt. Beautify assumes the face is already sharp and only applies a cosmetic pass: skin smoothing, teeth whitening, brighter eyes, with facial structure left untouched. Unblur targets motion or focus blur across the whole frame, while Upscale raises overall resolution and Denoise cleans grain and speckle. For a rough old portrait, retouch first to rebuild the face, then upscale or denoise the full image if you still need more size or a cleaner background. Chaining them beats forcing any single tool to do everything.
Keeping the result faithful to the person
A restoration model fills in detail it cannot actually see, so the more damaged the source, the more the output is an informed guess rather than a record. On a reasonably clear face the likeness holds tightly; on a heavily blurred or postage-stamp-sized face the reconstruction can drift, subtly changing an expression or the shape of a feature. Treat heavily degraded scans as a restoration, not forensic proof. To stay honest to the original, open the retouched result in snapnedit's editor and blend it back toward the source at reduced opacity, or mask the restoration to just the areas that needed it — giving you a natural improvement without an over-processed, someone-else's-face look.
How it works
Upload a portrait photo — a soft, small, compressed, or scanned face works best.
Let the AI locate each face and reconstruct facial detail while evening out tone.
Optionally open the result in the editor to blend it back toward the original for a lighter touch.
Download your retouched portrait as PNG or JPG — no watermark.
Frequently asked questions
How is Retouch different from the Beautify tool?
Retouch rebuilds facial detail that is missing — it is the right tool for a blurry, tiny, compressed, or scanned face. Beautify assumes the face is already sharp and only applies a cosmetic pass: skin smoothing, teeth whitening, and eye brightening, leaving facial structure untouched.
Will the restored face still look like the person?
On a reasonably clear face the likeness holds well. The model reconstructs plausible detail from what the photo preserved, so a very degraded source can drift slightly — a shifted expression or feature shape. For heavily damaged scans, treat the output as a restoration rather than a forensic record.
Does it work on old scanned photos?
Yes — recovering faces from scanned prints is a core use case. For best results, scan at a higher DPI (around 600 for standard prints) so the model has more real detail to work from, then let retouch rebuild the soft or faded facial features.
Does it work on group photos?
It works best where faces are reasonably large and clear in the frame. Very small or heavily obscured faces in a group shot may improve only modestly, since there is little underlying detail for the model to reconstruct from.
Can I control how strong the effect is?
Yes. Run the tool, then open the result in snapnedit's editor to blend it back toward the original at reduced opacity, or mask the restoration to only the areas that needed it — giving you a lighter, more natural touch.
Should I retouch before or after upscaling?
Retouch first to rebuild the face at its current size, then upscale if you need more resolution. Restoring detail before enlarging generally gives cleaner results than upscaling a blurry face and trying to fix it afterward.
Is it really free, and are my photos private?
Yes. Retouching is free in your browser with no sign-up and no watermark on the export. snapnedit runs its own self-hosted AI, so your photo is not handed to a third-party service; on-site usage does not consume credits, which apply only to the API.
What file formats can I export?
You can download your retouched portrait as PNG or JPG. Use PNG when you want maximum quality with no additional compression, or JPG for a smaller file that is easy to share.