Identity stays primary
Faces, age cues, clothing and the number of people are review points, not details the model is free to redesign.
Digital conservation desk
Old Photo Restoration
Repair scratches, folds, fading and noise while preserving the people, period and monochrome character of the original photograph.
No automatic colorizationConservative 2K profileBefore-and-after inspection
Restoration desk / Intake
Restores without colorizing15 credit
Place an old photograph on the restoration deskUse a clear scan or a flat, evenly lit camera copy. Keep handwritten dates and borders in frame.Paste from clipboardPNG, JPG or WebP / 5 MB / 256-4096 px
Conservation principles
Restore the photograph, not a new version of its history
Old photographs carry identity, context and physical evidence. The workflow is designed around visible interventions and a careful final review.
Damage is repaired conservatively
One fixed restoration profile handles scratches, folds, fading and noise without exposing controls the production model does not support.
Review the 2K derivative carefully
The production route returns a fixed 2K result. Inspect it at 200% before making a print derivative.
Verification archive
Real scans, reviewed against saved provider outputs
Each comparison pairs an actual test input with a saved Nano Banana Pro result that passed side-by-side release review.
Case 01
Wedding portrait
Creases and surface scratches
Case 02
Family archive
Multi-person identity check
Case 03
Street record
Architecture and fine detail
These comparisons use saved Nano Banana Pro outputs from the release POC. Fine or missing details can be AI-inferred, so results are restorations rather than forensic reconstructions.
Archival disclosure
A repaired gap may be plausible without being factual
AI can infer pixels where a print is torn, stained or missing. The result can help a family view the image, but it cannot prove what the lost area originally contained.
Keep the master
Never overwrite the untouched scan. Store it beside the restored derivative.
Record the intervention
Keep the task ID and record that the derivative was produced with the fixed AI restoration profile.
Inspect at 200%
Review faces, fingers, lettering, borders and reconstructed regions before print.
Three-step workflow
From family print to documented derivative
A careful source scan and a disciplined review matter as much as the restoration model.
01
Digitize the whole artifact
Scan the complete print, including borders, dates and handwritten notes. Avoid glare and perspective distortion.
02
Run the fixed conservation profile
The verified model applies one conservative 2K restoration route with no silent fallback or unsupported switches.
03
Audit before archiving
Compare people, text, architecture and repaired gaps. Keep the untouched scan beside every restored derivative.
Restoration notes
Questions before you alter an archive
The safest workflow separates restoration, colorization and the untouched original.
Restore first. Colorize separately.
Keeping these tasks separate preserves a clean monochrome restoration and makes every AI intervention easier to understand, compare and archive.