AI old photo restoration

Reduce scratches and fading while retaining the original character.

Old photo restoration

Upload a clear scan or photo of the old print. AI can infer missing detail; the result is not a verified historical reconstruction.

Example

Old photo restoration — Original
Original
Old photo restoration — Result
Result

Repair the print without rewriting the memory

In the portrait above, the scratches, worn edges and uneven fading are reduced while the face, blouse and pose remain recognizable. That is the distinction to watch: a cleaner print should not quietly become a different person.

Match the repair to the damage

What you can seeWhat to expect
Scratches, dust and crease marksThe edit can fill small damaged areas using the surrounding image. Inspect any repair crossing an eye, mouth or other identifying feature.
Fading and uneven contrastThe preset asks for more balanced tones and clearer surviving detail. Compare bright areas so skin and light clothing do not lose texture.
Missing or heavily blurred detailInformation that is not visible cannot be verified from this image alone. A newly detailed face or object may be an interpretation, not a recovered fact.

Start with a clear copy of the print

  • Scan it, or photograph it flat

    Face the camera squarely toward the print. Use even light and move lamps if glare hides the image.

  • Include the full photograph

    Keep the people and original framing visible. Crop away the surrounding table, scanner lid or unrelated pictures.

  • Choose the color treatment

    Keep black and white is the default. Add natural color requests a colorized interpretation; it does not recover documented original colors.

Compare details that carry meaning

  • Compare eyes, mouth, hairstyle and expression with the original.
  • Check clothing, jewelry and objects for invented or missing details.
  • Keep the original scan and save the restoration as a separate copy.

Restoring family photographs

Can I keep the photo in black and white?

Yes. Keep black and white is selected by default. Leave that setting in place if you want to repair the print without requesting colorization.

Will colorization recover the original colors?

No. The Add natural color option asks for plausible colors. Clothing, skin tones and surroundings can be inferred differently from how they actually appeared.

Can a missing face be restored accurately?

Not reliably from a photo where that face is missing or unreadable. AI can fill the area, but the added features are not evidence of the person's appearance. Keep an unedited copy for family or archival reference.