Try repairing visible damage in a copy of an old photo. Check faces and missing details carefully: a plausible reconstruction is not proof of the original scene.
Review damage, likeness, and color separately before keeping a restoration.
Use a scan or evenly lit photograph of the print. Keep the untouched file so you can compare every change.
Check where damage crosses an eye, mouth, or other identifying feature. A plausible repair may still change the person.
Look for changes to expression, age, texture, and handwritten details. Reject a result that invents information you need to preserve.
Upload one JPG, PNG, or WebP file up to 10 MB. Guest allowance or account credits are required; review the current limits before starting.
Use these examples to think about damage and tone. They are not a guarantee for your scan. Compare the full result with the original, then inspect faces and damaged areas closely.




A crease crossing a face can hide information the model cannot verify. Compare the eyes, mouth, nose, and expression before accepting the repair.

Check whether the result retains useful contrast without clipping light or dark areas. New colors are interpretations unless you have a reliable color reference.
Keep the source, process a copy, and check before sharing.
Keep a digital preservation copy. Upload one JPG, PNG, or WebP image up to 10 MB, with permission from the people or rights holders involved.
Choose an aspect ratio and let the automatic restoration run. There is no separate restoration preset, damage brush, or strength control in this tool.
Compare the result with the source before downloading. Check the saved dimensions before printing; keep both files rather than replacing the original.
For portraits, check facial likeness after restoration before keeping the result.
A cleaner-looking image still needs an authenticity check.
Inspect repaired areas for repeated patterns, smears, and misplaced edges. Local manual repair may be preferable where an automatic edit changes important details.
Distinguish recovering contrast from guessing colors. Clothing, skin, and background colors should be checked against any surviving references.
Compare identifying features and apparent age. Sharper eyes or smoother skin do not prove that missing original detail has been recovered.
Large stains and missing regions give the model little evidence. For a damaged physical original, seek appropriate conservation help; a digital edit does not repair the print.
Choose credits for restoration, portraits, retouching, illustration, and upscaling. Free access has usage limits.
Start with a one-time purchase
Use the same credits across every feature. Choose a pack once and spend credits whenever you need them.
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For example: about 70 Nano Banana 2 edits OR 35 GPT Image 2 edits.
Examples only. Credits work across all tools; usage varies by feature and model.
For example: about 200 Nano Banana 2 edits OR 100 GPT Image 2 edits.
Examples only. Credits work across all tools; usage varies by feature and model.
For example: about 500 Nano Banana 2 edits OR 250 GPT Image 2 edits.
Examples only. Credits work across all tools; usage varies by feature and model.
Monthly credits. Renews automatically until canceled.
For trying things out and light edits.
800 credits
For example: about 80 Nano Banana 2 edits OR 40 GPT Image 2 edits.
Examples only. Credits work across all tools; usage varies by feature and model.
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For creators who edit every week.
2,000 credits
For example: about 200 Nano Banana 2 edits OR 100 GPT Image 2 edits.
Examples only. Credits work across all tools; usage varies by feature and model.
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For heavy AI usage and client work.
4,000 credits
For example: about 400 Nano Banana 2 edits OR 200 GPT Image 2 edits.
Examples only. Credits work across all tools; usage varies by feature and model.
Cancel anytime
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Restored ✨Repair cracks, remove stains, and bring back natural color.