

Remove light scratches, fold marks, and scan lines without making the photo look smeared.
Crease and scratch artifacts reduced while preserving textures.


Different scratch types require different repair strategies. Select the type that best matches the scratch characteristics in your photo.
Surface-level lines from handling and storage. AI treats these as texture-layer damage and blends them without blurring adjacent detail.
Penetrating marks that cut through image layers. Detected and repaired separately from fine scratches to maintain structure.
Linear folds from bending or album storage. AI softens the crease line while recovering the visual continuity across the fold.
Horizontal artifacts introduced by scanner hardware. Detected as periodic patterns and reduced without affecting image content.
Unsure which scratch type your photo has? Upload it and the system will automatically detect and apply the most suitable repair strategy.
Different scratch severities require different repair strategies. Assess the damage level first, then match the appropriate treatment for more accurate results.
Fine scratches
Identifying characteristics
Hair-thin lines visible only under close inspection, without interrupting subject texture or edges.
Repair approach
Lightweight texture inpainting that removes scratches while preserving surrounding texture integrity.
Expected outcome
Near-invisible after repair with natural texture maintained.
Medium scratches
Identifying characteristics
Repeated linear marks that interrupt edge structures or facial zones.
Repair approach
Clear the damaged lines first, then intelligently reconnect broken edges to restore structural continuity.
Expected outcome
Primary damage significantly reduced; minor traces may remain under magnification.
Deep scratches
Identifying characteristics
Deep grooves or crease-like damage crossing key subject areas, destroying pixels across multiple color channels.
Repair approach
Multi-stage progressive repair: reconstruct adjacent region structure first, then apply context-aware fill to damaged areas.
Expected outcome
Visual continuity recoverable, but full original texture fidelity has an upper bound.
This tool is designed around remove scratches from photos, helping you quickly assess which photo problems it addresses.
Diagnose the issue
Treats light lines and deep marks differently, so the workflow starts with the most visible damage pattern.
Control the repair strength
Keeps clean areas looking untouched, avoiding over-processing and artifacts.
Export a more reliable result
Works well on scanned prints and album photos, making the photo more suitable for saving, printing, or sharing.
Scenario
Problem: Thin lines run across the face and clothing after years in storage.
Result: The marks fade back while the photo still keeps its natural texture.
Crease and scratch artifacts reduced while preserving textures.
Scenario
Problem: A crease cuts through the middle of the print and pulls attention away from the subject.
Result: The damaged line is softened so the scene reads as one image again.
Review how lines, folds, and paper texture are restored before you upload your own photo.
These examples focus on fine scratches, crease marks, and deeper damage.


Scratch Repair
See how thin scratches on faces and clothing are removed while texture stays natural.
Review how lines, folds, and paper texture are restored before you upload your own photo.


Scratch Repair
See how a strong fold line is softened and the light-dark transition looks smoother.
Review how lines, folds, and paper texture are restored before you upload your own photo.
Workflow
This tool does more than upload. You can see examples, understand the fix, and then decide whether to upload your photo.
Scan surface
Start with the cleanest scan or original file available so the system can accurately distinguish scratch damage from natural paper texture.

Drag image into uploader
Route by severity
Fine scratches receive lightweight texture inpainting, while deeper marks and creases get context-aware structural reconstruction — operating only on damaged regions.

Texture QA
Before downloading, inspect faces, clothing, and background texture to confirm scratch damage has been reduced while the photo's original character is preserved.

The examples below help you determine which photo problems this tool addresses and what results to expect.
Problem: Thin lines run across the face and clothing after years in storage.
Result: The marks fade back while the photo still keeps its natural texture.
Problem: A crease cuts through the middle of the print and pulls attention away from the subject.
Result: The damaged line is softened so the scene reads as one image again.
Problem: The scan adds repeating horizontal lines that were not on the original photo.
Result: The streaks are cleaned up and the picture looks much less distracting.
Answers about upload, results, and whether this tool fits your photo.
Yes. Light scratches and deeper damage need different handling. This tool treats them separately, so small lines fade without making bigger damaged areas look pasted over.
It tries not to. The repair stays focused on the damaged spots, so hair, fabric, and background texture can stay natural.
Yes. Scanned old prints are a strong match because they often have scratches, fold marks, dust, and scan lines together.
Sometimes, but not always. If nearby detail is still there, the repair can blend in very well. If a large area is missing, the mark usually becomes much less obvious rather than completely gone.
Use the cleanest original you have. A good scan or a higher-resolution photo usually gives the best result.
Need more details? Visit the help section from the footer.
Start now
Upload the original first, preview the result, then unlock the HD export after sign-in.
If this tool hasn't fully addressed the issue, explore more targeted tools for the next step in your repair workflow.
What to expect
Scratch-aware repair · Texture kept natural · Online and easy to use