Reduce scratches, stains, dust, and faded contrast
The restoration workflow analyzes visible aging and surface damage, then rebuilds a cleaner image while trying to preserve the original composition and period character.
Old Photo Repair with AI • Free to Start Online
Free AI Photo Restoration for Old & Damaged Photos
Restore old photos online with AI. Reduce scratches, stains, dust, fading, and visible damage, enhance recoverable facial detail, and colorize black-and-white or sepia images while reviewing the before-and-after result.
System Ready
Old Photo Restoration Before and After
Compare damaged source photos with AI-restored results. Look for repaired scratches, recovered contrast, reconstructed areas, and estimated color while keeping the source quality in mind.
Before
Restored
A faded single portrait cleaned, clarified, and lightly color restored while preserving its historical feel.
What AI Photo Restoration Can Repair
Restoration can reduce visible damage and recover clarity, but missing details and historical colors may be estimated by the model rather than recovered from the original.
Add estimated color to black-and-white photos
Black-and-white and sepia photos can be colorized with plausible tones. Because the source does not contain the original colors, treat the result as an informed visual estimate.
Reconstruct creases, tears, and missing areas
The model can infer content around folds or damaged regions from the surrounding image. Larger missing areas involve more generated detail and should be reviewed carefully.
Clarify facial detail when the source supports it
Faces may become clearer when the scan retains enough structure. Very blurred or missing features can be estimated, so compare the result with the original before preserving or sharing it.
Preserve useful detail in a download-ready result
Begin with the clearest scan available. The restoration keeps composition and recoverable texture where the source supports them, then provides a clean result to inspect before downloading at the available output quality.
Follow a clear path from upload to preview
Upload one photo, start the restoration, and compare the original with the generated preview before saving it. Processing time can vary with the image, model, and current queue.
Keep the original when AI must reconstruct details
Missing faces, colors, clothing, and background areas may be plausible estimates rather than recovered facts. Store the source separately and use human review before replacing, archiving, or publishing an important photo.
AI Photo Restoration FAQ
Free online restoration, supported damage, colorization, file formats, and the difference between recovered and estimated detail.
Continue with another image workflow
Use a dedicated editor for creative changes or a restoration workflow for old-photo damage instead of forcing every image task through the same tool.
Restore an old photo and compare the result
Upload the clearest source you have, run the dedicated restoration workflow, and review every repaired or estimated detail against the original.