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Photo Restoration Workflow

AI Photo Restoration

Repair scratches, creases, paper stains, and compression artifacts from scanned vintage photos while respecting the original subject, era, and composition.

Restore Photo
AI Photo Restoration
Family portrait scratch repair before
Family portrait scratch repair after
Before
After

Family portrait scratch repair

Example preview · your generation appears here

Before / After

Three real-world scenarios that test the details this tool is most likely to miss

Family portrait scratch repair BeforeBefore
Family portrait scratch repair AfterAfter

Family portrait scratch repair

Removes vertical scratches and dust spots without altering facial features or clothing.

Creased and torn photo restoration BeforeBefore
Creased and torn photo restoration AfterAfter

Creased and torn photo restoration

Fills small paper losses while preserving the original background and framing.

Faded identification photo recovery BeforeBefore
Faded identification photo recovery AfterAfter

Faded identification photo recovery

Recovers contrast and tonal range without over-smoothing skin or modernizing the look.

Repair first, then consider color

Repair first, then consider color

Scratches, creases, and noise all interfere with colorization. For important family photos, export a faithful black-and-white restoration first, then try colorization as a separate step on a copy.

  • Removes scratches and dust
  • Repairs small tears
  • Preserves facial identity
The more that is missing, the more careful you should be

The more that is missing, the more careful you should be

Mild damage can be reconstructed from surrounding texture. A torn face, blocked hand, or large missing background area can only be guessed by the model — those guesses are not historical fact.

  • Scans preferred
  • Large gaps are inferred
  • Keep the original file

About this tool

About this tool

This tool keeps the main subject intact while helping you create a polished image for its intended use.

Why creators use it

1

Preserve important visual details

2

Choose settings for your workflow

3

Create publish-ready results faster

What users say

It kept the important details while making the workflow much faster.
Alex· Creator
It made it easy to create versions for different use cases.
Mina· Creator

Frequently Asked Questions

Will the restored face still look like the same person?

Light scratches and noise usually preserve identity. Severe blur or missing facial features force the model to invent detail — the result may look like a plausible person rather than the actual one. Use Identity First mode and always keep the original.

Can I restore a phone photo of an old print?

Yes, but glass reflections, keystone distortion, and environmental reflections in the glass will reduce quality. Photograph the print head-on without flash and with even lighting for the best result.

Can a torn-off corner or missing section be rebuilt?

The tool can generate visually coherent fill for missing areas, but these sections are AI guesses, not historically accurate reconstructions.

Is the AI colorization historically accurate?

Skin tones, sky, and common materials may look reasonable, but uniform colors, badges, vehicles, and period-specific clothing cannot be determined from grayscale alone.

Why does deep restoration make my photo look modern?

Deep mode reconstructs more texture, which can erase film grain and period character. For a vintage feel, prefer Light or Balanced restoration.

What resolution should I upload?

Upload the highest-resolution scan available — ideally before any messaging-app compression. More megapixels help the model detect scratch edges, but cannot recover information that was already lost.