AllImageAI
Restoration20 credits total3–8 min

Old Photo Restoration Workflow

Repair scratches, restore faces and enlarge a treasured old photo. All editing steps and final files are included in the displayed credit price.

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Illustrative photo restoration: a scratched archival portrait beside a cleaned black-and-white portrait of the same woman.Damaged scanRestored photo

Upload your old photo scan

20 credits

fixed total · no per-step charges

A flat scan at 300 DPI or better gives the restoration models the most real detail to preserve.

Charged once when submitted. If any required stage fails, the full workflow charge is refunded automatically.

Restore Old Photo preview

3–8 min1 output
Illustrative photo restoration: a scratched archival portrait beside a cleaned black-and-white portrait of the same woman.Damaged scanRestored photo
AI-generated workflow example. Upload your photo to create your own result.
  1. 1Repair damage
  2. 2Restore face
  3. 3Resize 2×
2× final image1 image included

Restore Old Photo example settings

Scratched portrait

Repairs facial damage conservatively, then rebuilds printable detail.

Preserve the person’s expression, hairstyle and natural age exactly.

Faded family photo

A balanced repair with optional historically guided colour inference.

Muted 1950s colours; dark navy clothing and warm cream interior walls.

Restore Old Photo editing steps

1

Upload a scan

Scanning beats photographing the print; 300 DPI or better.

2

Repair damage

Brush over scratches and missing areas.

3

Restore faces

Fidelity first, so features stay true.

4

Optional colourisation

Inferred colour for black-and-white originals.

5

Resize and export

A deterministic 2× resize produces the final printable file.

About this workflow

Order matters when restoring a photo: repair damage before restoring faces, or the face model treats scratches as facial detail and sharpens them. This workflow fixes that order for you.

Frequently Asked Questions

Are the colours accurate?+

No, they are plausible inference. State real colours in the prompt if you know them.

It no longer looks like the person.+

Raise Face Fidelity and rerun — under-repairing is the safer failure.