Illustrative restoration concept. Compare every face in your own original and edited photo.
Example directions you can create
Natural repair — Repair scratches, dust and fading without modernizing the photo.
Natural color — Add restrained, historically believable colors.
Deep reconstruction — Rebuild torn and genuinely missing fragments.
How AI Photo Restoration: Restore Old Photos Online works
AI restoration can reduce scratches, tears, dust, fading and low contrast, and it can reconstruct plausible detail in damaged areas. Start from the highest-quality scan or photograph available so the model has as much real information as possible.
A restoration is an interpretation, not verified historical evidence. Keep the original file unchanged, compare faces and period details carefully and label the restored copy when it enters a family or institutional archive.
Prepare your photo and instructions
Choose a prompt below, adapt it to your photo and review the result in Studio. An account is required. Free image results include a PrimeArt watermark; paid image options are watermark-free and include 2K or 4K where shown in Studio.
Repair visible surface damage — Reduce scratches, folds, tears, stains and dust while preserving the original composition.
Recover faded tonal range — Improve low contrast and faded color without erasing the photographic character of the source.
Reconstruct missing areas cautiously — Fill damaged regions with plausible detail while treating the result as generated rather than historically verified.
Popular use cases
Scratched family photograph — Repair surface marks while checking every face against the untouched scan.
Torn or creased print — Reconstruct damaged paper regions using the surrounding image as context.
Faded low-contrast portrait — Recover tonal separation without making skin, clothing or film texture look artificial.
Black-and-white colorization — Explore plausible color only when colorization is selected, and do not present it as verified historical color.
What AI photo restoration can repair
A focused restoration can reduce scratches, cracks, tears, stains, dust, fading and weak contrast. It can also rebuild plausible pixels where part of the paper image is missing.
Work on the most important damage first. A conservative repair is easier to compare with the source than a single request that also recolors, reshapes faces and changes the photographic style.
Scratches and dust
Tears, folds and creases
Fading and low contrast
Plausible reconstruction of damaged areas
What AI cannot know about an old photograph
The model cannot verify the real appearance of detail that no longer exists in the source. Reconstructed eyes, clothing, signs, architecture and background objects may look convincing while still being historically wrong.
Colorization is also an estimate unless reliable references survive. Keep the original scan and avoid presenting a generated restoration as factual evidence.
How to prepare an old photo for restoration
Scan the print flat at the highest practical resolution. If a scanner is unavailable, place the photograph on a level surface, keep the camera perpendicular to it and use soft, even light.
Avoid glare, deep shadows, perspective distortion and screenshots of an existing scan. Save the untouched master before uploading or editing any copy.
Scan flat at high resolution
Keep the camera perpendicular to the print
Avoid glare and deep shadows
Preserve the untouched master file
Quality-check a restored family or archive photo
Compare the restored image with the untouched scan at the same zoom level. Check faces, age cues, hairstyles, clothing, jewelry, signage and architecture before accepting reconstructed detail.
Keep a separate master copy of the source and label the restored version when it enters a family or institutional archive. Generated repairs can be visually useful without being verified historical evidence.
Compare every face with the source scan
Check period clothing and background details
Keep the untouched master file
Label generated restoration in an archive
Repair a faded photo before choosing colorization
A faded color print and a black-and-white photograph need different instructions. For a faded print, ask for restrained color-cast and contrast correction using the surviving colors. For a monochrome photograph, repair damage first and keep a restored black-and-white version before trying optional colorization.
This gives you two useful comparisons: whether the repair improved the scan, and whether an interpreted color version suits your family album. Include known clothing or setting colors when you have a reliable reference; otherwise keep the color direction subtle.
Faded color print: correct the cast and weak contrast
Black-and-white print: keep a repaired monochrome copy
Add color in a separate, optional version
Restore old photos without redesigning the faces
For a recognizable family portrait, request surface repair rather than a new portrait: remove the visible scratches and dust, keep the expression, age, hairline and face proportions, and retain the original photographic grain. Avoid combining restoration with a younger appearance, a new smile or beauty retouching.
A prompt cannot guarantee unchanged faces. If a scratch crosses an eye or mouth, inspect that repair separately and compare it with other confirmed photos of the person when available. Choose the version that respects the surviving features, even if it looks less polished.
Three prompts for restoring an old photo
Open a prompt below in Studio, then add your scan and adjust the prompt to the damage visible in it. Start with one repair and compare the result with the original before adding another.
Repair scratches and creases
Start with: A flat scan or straight-on photo of a scratched family print, with no glare.
Repair the visible scratches, dust spots and paper creases in this photograph. Keep the original framing, faces, expressions, hairstyles and clothing. Use surrounding texture to fill small damaged areas, retain natural film grain and leave undamaged details alone. Keep the original black-and-white or sepia appearance. Prioritize a restrained repair over adding sharp detail that the source does not show.
Check the result: Zoom into faces and repaired lines. Check that eyes, mouths and clothing seams still match the source.
Start with: A faded color print or low-contrast scan with recognizable facial and clothing detail.
Improve the faded color and weak contrast in this scanned photograph. Restore gentle tonal separation so faces, clothing and background objects are easier to see. Keep the original composition, skin texture, age cues and photographic grain. Reduce the overall color cast without pushing saturation. Preserve bright and dark detail, and avoid changing facial features or adding a modern photographic finish.
Check the result: Compare skin tones, whites and shadow detail. Lower the requested contrast if faces look harsh or the print loses its character.
Start with: A repaired black-and-white photograph; include known clothing colors in the instructions if available.
Create a restrained colorized version of this black-and-white photograph. Keep every face, expression, garment shape and background object consistent with the source. Use subdued skin tones, believable fabric colors and soft natural light. Preserve the original grain and contrast rather than making a glossy modern portrait. Where a color is uncertain, choose a quiet, plausible tone instead of a vivid accent.
Check the result: Check that color stays within edges and facial features remain recognizable. Keep the monochrome source alongside this interpreted color version.
Capture the best source — Scan the print flat at high resolution, or photograph it straight on with even light and no glare.
Choose the restoration task — Repair the visible problem first: scratches, tears, fading, low contrast, missing areas or colorization.
Compare and archive both versions — Inspect reconstructed detail against the source and preserve the untouched original separately.
Frequently asked questions
What kinds of old-photo damage can AI repair?
PrimeArt can reduce scratches, tears, folds, dust, fading and low contrast, and reconstruct plausible detail in damaged regions.
Can AI know exactly what a missing detail looked like?
No. Missing faces, clothing and background detail are reconstructed estimates, not verified historical facts.
Should I scan or photograph the print?
A flat, high-resolution scan is best. If you use a camera, keep it perpendicular to the print and avoid glare, shadows and perspective distortion.
Do I need an account and what happens to watermarked results?
An account is required before restoration. Free image results include a watermark. Paid image options are watermark-free and include 2K or 4K where shown in Studio; an earlier watermarked file remains unchanged.
Can I restore an old photo without changing the faces?
Ask for a restrained repair of scratches, fading and dust while keeping face proportions, expression and age unchanged. AI can still alter facial details, especially where damage covers them, so compare every face with the original and other confirmed photos when available.
Should I restore or colorize a black-and-white photo first?
Repair visible damage first and save a restored monochrome copy. Try colorization as a separate version so you can judge the repair independently from the estimated colors.
Does a faded color photo need colorization?
Usually the task is color-cast and contrast correction using the color that remains in the print. Colorization adds estimated color to a monochrome source; it is a different choice.
Upload the old photo you want to restore
Use the best source available, repair one class of damage at a time and keep the untouched original safely archived.
