Restore Old Photos with AI: A Practical Workflow

6월 6, 2026

Old prints and scans pick up scratches, fading, color shifts, and creases over time. PixUnblur's Photo Restoration tool reconstructs damaged areas and brings back missing detail without manually painting over the photo. This guide covers the full workflow from physical print to printable result.

What Photo Restoration Can Fix

  • Scratches, dust, and small tears.
  • Faded color and yellowed paper.
  • Creases and bent corners.
  • Mold spots and stains.
  • Mild blur from old lenses or scanning.

It will not invent faces, text, or objects that have been completely destroyed.

  1. Scan or shoot the print at high resolution. Aim for at least 600 DPI for small prints.
  2. Upload to PixUnblur Photo Restoration.
  3. Preview and confirm that scratches and stains are removed without flattening face details.
  4. Optional: enhance further with Blur Repair for sharper eyes and edges.
  5. Resize for sharing or printing with Exact Pixel Dimensions.

Tips for the Best Result

  • Crop the print to the photo edge before uploading. Border noise confuses the AI.
  • For black-and-white photos, do not artificially colorize unless you know the original tones. Restoration looks more authentic when grading is preserved.
  • For framed photos, capture without flash and at a slight angle to avoid glare.
  • For digital frames, export at the frame's native resolution (commonly 1920×1080 or 2560×1440).
  • For physical prints, keep at least 300 DPI at the target paper size.
  • For social posts, use 2048 px on the longest edge to avoid platform recompression.

A Story Worth Saving

Restoring an old photo is not just about pixels. It is about making memories visible again. Run a small batch first, share with family, and refine based on feedback before printing a final copy.

PixUnblur Team

PixUnblur Team