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HomeToolsOld Photo Restoration

Old Photo Restoration

Restore damaged photos and colorize black & white images with AI. Fix scratches, fading, and bring old memories back to life.

Drop a photo or click to upload

JPG, PNG, WebP — old, damaged, or black & white photos

How It Works

Three simple steps to transform your photos.

Step 01

Upload

Drop your photo or paste a link. We accept JPG, PNG, WebP, and HEIC.

Step 02

Process Instantly

Your image is processed in seconds — right in the browser or with AI.

Step 03

Download

Save the result in full quality. Upgrade for HD and no watermark.

Frequently Asked Questions

What types of photo damage can be repaired?

Our AI restoration can fix scratches, tears, fading, discoloration, water damage, and general degradation from age. It works best on scanned photos where the damage is primarily surface-level. Deep physical damage like missing portions may have limited recovery.

How does the colorization work?

The AI analyzes the content of your black-and-white photo — recognizing faces, landscapes, clothing, and other elements — then applies realistic, historically-informed colors. It uses contextual clues like skin tones, sky, and vegetation to produce natural-looking results.

Can I restore and colorize in one step?

Yes! Select the "Restore + Colorize" mode to first repair damage and enhance clarity, then automatically add color to the restored result. This gives the best outcome for old, damaged black-and-white photos.

What image formats and sizes are supported?

We accept JPG, PNG, and WebP images up to 10 MB. For best results, scan your old photos at 300 DPI or higher. The AI works better with higher-resolution scans since it has more detail to work with.

How accurate are the restored colors?

AI colorization produces realistic and visually pleasing results, but it is an artistic interpretation rather than a perfect recreation. Colors for well-known subjects (skin, sky, grass) are generally very accurate, while specific details like clothing colors are best-guess approximations.

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