AI photo restoration for old and damaged photos

Photo restoration used to mean mailing a print to a specialist and waiting a week. Upload a scan, describe the damage, and get a restored copy back in about ten seconds.

Original photo before editing A restored 1960s family photo: four people beside a wood-panelled station wagon, with the scratches, creases, and colour fading removed
"restore this old photo: remove scratches, fix faded color, sharpen faces"

How to do it

  1. Scan or photograph the original

    Get the flattest, best-lit capture you can, with no glare. JPEG or PNG up to 10 MB. Photo restoration quality tracks input quality more than anything else, so it is worth a second attempt at the scan.

  2. Name the damage you want repaired

    Be specific: 'restore this photo: remove the scratches, repair the torn corner, fix the faded color, and sharpen the faces'. Listing the damage explicitly gets a better restoration than asking to 'fix' the photo.

  3. Download, print, and share

    You get back a clean, full-resolution copy to save, reprint, or send to family. Each restoration costs one credit, so you can refine the prompt if the first pass misses something.

Prompt ideas to try

Copy any of these as a starting point, or write your own.

  • "restore this old photo: remove scratches, fix faded color, sharpen faces"

  • "repair the torn corner and remove the water stain, keep everything else identical"

  • "remove the yellow tint from age and restore the original colors"

  • "fix the crease running across her face and rebuild the missing detail"

  • "sharpen this blurry photo and reduce the film grain without making it look plastic"

Questions about ai photo restoration: restore old and damaged photos

How much does photo restoration cost?
One credit per restoration, and credit packs start at $4.99 for 10 credits. A professional photo restoration service typically charges $25 to $100 per image and takes several days.
What if part of the photo is missing or torn away?
The AI reconstructs small missing areas, like a torn corner or a crease across a face, by inferring from the surrounding image. Very large gaps are harder, and a reconstructed region is a plausible guess rather than a recovery of what was actually there.
Does this work on prints, not just digital scans?
Yes. Photograph the print with your phone, laid flat with no shadows or glare, and upload that. A flatbed scan gives a better restoration, but a careful phone photo works well.
Can it restore faces that have gone soft or blurry?
Usually. Ask it to sharpen the faces specifically. Bear in mind that the AI is reconstructing detail rather than recovering it, so a heavily degraded face may come back subtly different.

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