Source copies, results, diagnosis, and QA evidence persist on the computer running the local service.
Blur and clarity recovery
Improve blurry old photos without redesigning unfamiliar faces
Blur removes high-frequency evidence. Sharpening can improve edges that remain, but it cannot prove eyelashes, teeth, or facial structure the source never recorded.
Local task recordsExternal AI processingQA
Before generation, the product discloses that images may be sent to the configured external service and waits for confirmation.
Comparison tasks require a preferred result while QA risk and output evidence stay visible.
Source diagnosis
Identify the kind of blur before sharpening
Scan softness
Uniform softness may improve with restrained local contrast when major edges and tonal transitions remain stable.
Motion or focus blur
Directional smearing and missed focus destroy different evidence and should not receive the same enhancement strength.
Face pixel budget
Small group-photo faces may contain too few source pixels for strong identity claims even when the full image looks sharper.
Restoration evidence
Keep the source, result, and review boundary together
Key principles
blurry old photo enhancement
Sharpen structure, not pores
Prioritize silhouette, hairline, clothing edges, and scene readability over synthetic skin and facial micro-detail.
Review every small face
A globally improved group photo can still contain individual faces that drifted or became newly generated.
Keep the softer alternative
Comparison review should retain a conservative result when the clearest version crosses the identity-risk boundary.
FAQ
Frequently asked questions
Can AI fully unblur a face?
It can create a plausible sharp face, but plausibility is not proof that the recovered features match the original person.
Is higher resolution the same as more detail?
No. Upscaling adds pixels; it does not automatically add reliable source evidence.
What should QA check after sharpening?
Review face shape, expression, age, people count, clothing, halos, plastic texture, and whether the background was reconstructed.
Ready to begin
Start reviewing your own photoApply the same review standard to your own old photo.
Upload the source, choose a restoration route, and inspect likeness, composition, and quality evidence before delivery.