Photo Restore — AI Old Photo Restoration Tool
Upload a faded, scratched, or damaged photograph and the AI photo restorer repairs it automatically. Restore old photos — remove physical damage, recover lost detail, fix color degradation — without manual retouching or specialist software.
What the AI photo restorer fixes
AI photo restoration targets the specific visual damage that aging, storage, and handling produce in old photographs.
Scratches, tears, and physical damage
Scratches, tears, fold lines, water stains, and surface abrasions are the most common reasons people restore old photos. The AI identifies each damage pattern and fills it using surrounding image information — producing a clean surface that integrates with the rest of the photograph.
Fading and color degradation
Old photographs fade over time — colors shift, contrast drops, and the image loses the presence it had when taken. AI photo restoration recovers tonal range and color balance from degraded prints, bringing back contrast and vibrancy that decades of fading removed.
Blur, noise, and low resolution
Early photographs, scanned prints, and film negatives often lack the sharpness of modern capture. The AI photo restorer sharpens blurry faces, reduces grain and scanning noise, and recovers fine detail — working alongside upscaling to bring old photos to a printable resolution.
How it works
How to restore old photos with AI
Scan or photograph the original, upload it, and download the restored result. The entire process is automatic.
Scan and upload the damaged photo
Scan the physical print at 600 DPI or higher — a high-resolution scan gives the AI photo restorer more information to work with. If you already have a digital copy, upload it directly. PNG and JPEG both work; larger files take slightly longer but produce better restoration.
Run the AI photo restoration
The model analyzes the entire image and applies restoration automatically — damage removal, sharpness recovery, tonal correction, noise reduction. No manual selection or retouching required. Processing takes seconds to under a minute depending on image size.
Download and optionally upscale
Download the restored photo at the output resolution. For old photos scanned at modest resolution, run the result through AI upscaling afterward — restore first to fix damage and recover clarity, then upscale to increase pixel count for print. The two tools work well in sequence.
What affects AI photo restoration quality
Honest expectations. AI photo restoration handles most common damage better than manual retouching, with clear limits on what it can recover.
Scratch and damage repair is reliable on most prints
Scratches, fold lines, water stains, and spot damage are the most consistently handled targets when you restore old photos. The AI fills damage using surrounding content and produces results difficult to distinguish from undamaged areas in most cases.
Better scans produce better restoration
The more tonal information in the scan, the more the AI photo restorer has to work with. Scan in color — even for black-and-white prints — at the highest resolution available. Color scanning captures more tonal range than grayscale, giving the restoration model a better starting point.
Lost detail is inferred, not recovered
If facial features, text, or fine detail were completely destroyed — not merely obscured but genuinely absent — the model fills the area with plausible content. This looks better than a visible damage mark, but the content is AI-generated rather than recovered from the original photograph.
AI photo restoration — frequently asked questions
Restore your old photographs
Upload any damaged or faded photo and get a restored version in seconds.