Remove Scratches from a Photo with AI (2026 Guide)
A scratch across your grandmother's face. A crease straight through a wedding photo. Film damage is the single most common reason people think an old print is beyond saving. It usually is not — removing scratches from a photo is one of the few repairs AI now handles better than a patient human with a clone stamp.
Why scratches are so hard to fix by hand
A scratch is not just missing pixels. It carries a bright or dark edge, breaks continuous detail like skin texture or fabric weave, and often runs diagonally across the most important part of the image. Manual retouching means rebuilding that texture one patch at a time, and any mismatch shows up immediately on a face.
What AI scratch removal actually does
- Detects damage: the model separates scratch lines from real detail like stray hair or a thin branch.
- Inpaints: it predicts what the covered pixels should have looked like, pulling from surrounding texture.
- Re-blends: it softens the seam so the repair does not read as a smudge.
Step-by-step
- Scan at 300 DPI, or photograph the print flat in even, indirect light.
- Upload the file and enable scratch repair together with face restoration — they interact.
- Use the before/after slider and zoom into the damaged area specifically, not the whole image.
- Export a copy and keep the original untouched.
Where it still needs you
Deep tears that removed material, or damage over the only reference for a detail, will still need a human decision. AI will produce something plausible; only you know whether it is correct.
FAQ
Can AI remove scratches without blurring the photo? Yes, if you review at 100% zoom. Over-aggressive settings are the usual cause of softness.
Does it work on black-and-white photos? Yes, and often better, since there is no color to mismatch.
Can I fix a photo that is both scratched and blurry? Yes — run scratch repair first, then enhancement, so the sharpening does not amplify scratch edges.
About old-photo-restoration-saas.shop
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