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Restore old photos
Example of restoring an old damaged photo with GenAnh
Quick Edit

Restore old photos

Repair faded color, scratches, stains, tears, and soft details while keeping faces and the character of the original photo.

About this tool

What does Restore old photos do?

Family photos often fade, collect scratches, or lose contrast after years in an album. GenAnh repairs visible damage and balances tone, color, and clarity without turning the image into a modern portrait.

When this tool is useful

Use a clear source image and describe only the change you need. GenAnh keeps unrelated details outside the request.

1

Repair scanned family photographs

AI reviews the visible content before proposing a concrete request, so the workflow remains relevant to your photo.

2

Reduce scratches, stains, and faded color

AI reviews the visible content before proposing a concrete request, so the workflow remains relevant to your photo.

3

Improve clarity in soft archival images

AI reviews the visible content before proposing a concrete request, so the workflow remains relevant to your photo.

What damage can photo restoration repair?

Use the clearest scan or photo available. Avoid strong reflections and crop out the frame when possible, so the damaged image receives most of the detail.

Fading and low contrast

Recover a more balanced range of light and dark areas while keeping the softer look common in older prints.

Scratches, stains, and tears

Reduce surface marks and rebuild small damaged areas using nearby clothing, skin, and background detail.

Soft faces and lost color

Improve facial clarity and color balance without changing age, expression, or recognizable features.

Get a more useful result

A clear source and a focused request give GenAnh more reliable visual information. Review important details before using or publishing the image.

  1. 1

    Scan the original at the highest practical resolution and keep the print flat to avoid glare and perspective distortion.

  2. 2

    Restore damage first, then request color changes only if the original color is faded or a colorized version is needed.

  3. 3

    Compare faces, clothing, jewelry, and period details with the source before treating reconstructed areas as accurate.

Quality and responsible use

AI may reconstruct details that are no longer visible in heavily damaged areas.

Frequently asked questions

What is Restore old photos best used for?

Family photos often fade, collect scratches, or lose contrast after years in an album. GenAnh repairs visible damage and balances tone, color, and clarity without turning the image into a modern portrait.

What will GenAnh preserve when using Restore old photos?

GenAnh keeps recognizable faces, age, expression, pose, clothing, composition, and period details. Areas with no visible information may remain less precise.

Can AI recommend a different Quick tool?

Yes. GenAnh analyzes the actual image first and may suggest another Quick tool when it is a better fit. The landing content remains unchanged.

Can I change the AI suggestion?

Yes. A suggestion only fills the request field. You can edit or replace it before creating the image.

Quick Edit

Upload references, let GenAnh suggest the best edit, then review the prompt.

0/5

Reference images
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Reference images
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Prompt
Translate prompt to Vietnamese
Image to prompt
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Rewrite prompt

Tell AI how to rewrite your current prompt.

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GPT Image 2
Auto
1:1 Square
3:4 Portrait
4:5 Portrait
2:3 Tall
9:16 Vertical
4:3 Landscape
3:2 Wide
16:9 Widescreen
1K

Recommended for most use cases

2K

Higher detail, balanced

4K

Maximum resolution

To process this request, GenAnh sends your prompt and any images you upload or select to a third-party AI image service. That can include faces or likenesses visible in those photos. Data is used only to generate or edit the image you asked for.

I allow GenAnh to send my prompt and uploaded images to the third-party AI image service for this request.

Details are in the Privacy Policy sections “Third-party AI image processing” and “Face data in uploaded photos”.