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Restoration

AI photo restorer for damaged family photos

Old prints carry damage that a simple filter cannot understand: a crease across a face, a torn corner, or decades of fading. A restoration prompt asks the model to repair the damage while keeping the person and the period intact.

Old damaged family photograph repaired with scratches removed and faded tones recovered

What can AI restoration repair?

It can reduce dust, scratches, creases, stains, and fading, and it can reconstruct small missing areas. It is less reliable when a face or an important object is missing entirely, because the model has to invent rather than repair.

How to restore a photo

  1. 1

    Scan at the highest resolution you have

    A flat, even scan gives the model more detail. Avoid photographing a print under a lamp if a scanner is available.

  2. 2

    Separate repair from colorization

    First repair the damage, then colorize in a second pass if you want color. Mixing both in one prompt makes it harder to judge what changed.

  3. 3

    Protect the identity

    Ask explicitly to keep the face, age, clothing, and period details. Compare the restored face with the original before sharing it with family.

Try it in the live workspace

The page opens with the matching mode selected. Upload a file, edit the prompt, and sign in when you are ready to spend credits.

AI photo restorer for damaged family photos

Veo3.1 + Nano Banana Studio
112 / 2000

Use a publicly accessible URL (jpg/png/webp/gif/avif). No public link handy? Upload to store it on R2 and auto-fill the URL.

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500 credits · about 5 image edits · one-time

Cost 100 creditsRemaining 0 credits
Preview

Nothing generated yet

Upload only images you have the rights to use. Files are sent to the storage and model providers needed to produce the result.

Restoration prompt recipes

Repair first. Keep the original identity, clothing, and period. Do not modernize the face.

  • Scratches and dust

  • Creases and fading

  • Muted colorization

Restoration jobs

Family archives

Repair creases and fading so a portrait can be printed or shared with relatives.

Historical research

Clean dust and scan artifacts while keeping the image honest and clearly labeled as restored.

Memorial and tribute images

Recover a usable portrait from a damaged print with a gentle, natural result.

Black-and-white colorization

Add muted, plausible color after the damage is repaired, not instead of repairing it.

Keep the record honest

Restoration is interpretation. Missing detail is invented, so do not present a restored image as an unaltered historical record. Keep the original scan, label the restored version, and avoid using the result as evidence of what someone or something looked like.

Photo restoration questions

Can it restore a photo with a missing face?

It can generate a plausible face, but that face is invented. If the identity matters, do not use a generated face as a substitute for the real person.

Should I colorize old photos?

Colorization is an interpretation. If you colorize, keep the black-and-white original and label the color version clearly.

What resolution should I scan at?

Scan at the highest optical resolution available, ideally 600 dpi or more for a small print. The model can work from a phone photo, but a scan preserves more detail.

Can it repair a torn corner?

Small missing areas can be reconstructed. A large missing section requires invention and may not match the original scene.

Will the clothing change?

Ask to preserve the clothing and period details. Compare buttons, patterns, and text before accepting the result.

Can I print the restored file?

Yes, after checking the resolution at your intended print size. Keep the original scan and note that the restored areas are generated.

Related restoration workflows