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How-to

How to restore old photos: scratches, creases, fading and stains

What damage can be repaired digitally, the right order of steps, what AI restoration can and cannot recover, and when a human retoucher is the better choice.

By the ColorizeOldPhotos editorial team

· 9 min read

Most family photographs wear in the same few ways: light lines and cracks, folds, water stains, fading and a slow loss of contrast. All of them can be improved on a scan, and none of them requires touching the original print. This guide covers the order that works, what AI helps with, and where it stops.

Before you scan: protect the print

The Library of Congress advises handling photographs with clean hands or nitrile gloves, avoiding the image area and holding the print by its edges. For dust, use an air bulb rather than a brush. Do not use tape, paper clips or rubber bands on a photograph, and avoid storing prints in attics or basements where humidity and temperature swing. Its target environment is relatively dry (30 to 50 percent relative humidity), cool and stable.

If a print is stuck to glass, torn into pieces or flaking, stop and ask a conservator. Digital restoration cannot fix a print that is still deteriorating.

Know what you are repairing

What to expect from digital repair.
DamageWhat it looks likeHow well it repairs
Hairline scratches and dustThin white lines and specksVery well. Small areas are easy to infer.
Creases and fold linesLight or dark lines across the pictureWell, unless the fold crosses a face or fine detail.
Stains and water marksBlotches, tide lines, mold spotsWell for mild stains; strong stains hide detail that has to be inferred.
Fading and low contrastWashed-out, yellowed tonesVery well. This is mostly tone correction.
Missing pieces and tearsGaps where the picture is goneReconstructed, not recovered. Treat it as an educated guess.

The order that works

  1. Scan the print flat. See our scanning guide.
  2. Crop and straighten the scan, keeping the original file untouched.
  3. Restore the damage on a copy.
  4. Colorize only after restoring, if you want color. Color applied over a crease makes the damage more visible and harder to remove.
  5. Compare faces and key details against the unrestored scan.
  6. Save the result, keep the originals, and note what you changed.

Where AI helps, and where it doesn’t

Part of sharecropper family on porch of cabin, 1938: restored and colorized
Part of sharecropper family on porch of cabin, 1938: original
BeforeAfter
Restored and colorized: Part of sharecropper family on porch of cabin (1938). Original: Library of Congress, Prints & Photographs Division, FSA/OWI Collection, public domain. Scratches, creases, stains and fading were added to this scan artificially to demonstrate repair.

Generative restoration is strong at the repetitive work: removing scratches, dust and fold lines, and recovering tone. In the example above, the scratches and creases we added are gone and the faces stay recognizable. The same flexibility is the risk. A model that can fill in a scratch can also redraw an eyebrow.

That is why we tell the model to keep every face, expression and pose unchanged, and why you should always compare the result with the original. If an expression looks different, run it again or restore a cleaner scan. We describe what we tested, and what failed, in our comparison of restoration approaches.

When to hire a professional

  • Large parts of a face or a key figure are missing.
  • The print is torn into pieces, flaking or stuck to glass.
  • The photograph has legal, museum, commercial or very high sentimental value.
  • You need a result you can defend, such as documentation of a historic event.

A human retoucher working from the original can use context you cannot give a model: other photos of the same person, records and your knowledge of the scene. AI inference is fast and affordable, but inference is not recovery.

Sources

  1. Library of Congress, “Care, Handling and Storage of Photographs”
  2. U.S. National Archives, “Digitizing Family Papers and Photographs”
  3. Federal Agencies Digitization Guidelines Initiative (FADGI), Technical Guidelines for Digitizing Cultural Heritage Materials

About this guide

Written by the ColorizeOldPhotos editorial team. ColorizeOldPhotos is operated by windflash, founded by Jason Guo, who since 2005 has started a number of projects spanning AI applications, website development, game development and operations. Read more on the about page.

Found a mistake or an out-of-date claim? Email support@colorizeoldphotos.com and we will fix it and note the change here.

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