ArtImageHub vs Cleanup.pictures for Old Photo Restoration

Cleanup.pictures is a popular AI-powered object removal tool — paint over something in a photo and the AI removes it and fills in the background. ArtImageHub is a specialized AI pipeline for old photo restoration. Both deal with photo "damage" in some sense, but they're solving different problems.

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What Cleanup.pictures Does

Cleanup.pictures is an inpainting tool — you paint a brush stroke over an unwanted object, and the AI generates background content to replace it. Built on LAMA (LaMa inpainting model).

What it's excellent at:

• Removing people from tourist photos
• Removing power lines from landscape photos
• Removing watermarks from images
• Removing distracting objects from otherwise clean modern photos

How it works: The AI generates new content to fill the selected area, based on the surrounding context. The fill is generated — it creates plausible new content, not a recovery of what was originally behind the removed object.

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Can Cleanup.pictures Remove Scratches from Old Photos?

Technically yes, partially. You can paint over scratches and Cleanup.pictures will generate fill content to cover them. The results:

Works well: Isolated, thin scratches against simple backgrounds (clear sky, plain wall) — the fill content blends reasonably.

Works poorly: Complex scratches across faces or detailed backgrounds — the generated fill creates artifacts or clearly artificial-looking patches.

Fundamental limitation: Cleanup.pictures generates new content to cover damage — it doesn't recover what was originally there. For a scratch across a face, it generates a plausible face region to fill in, not the original face recovered.

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What Cleanup.pictures Cannot Do

No systematic old photo restoration: Cleanup.pictures has no fading correction, no yellowing correction, and no upscaling. It can remove isolated objects/scratches but doesn't address the broader degradation of historical photographs.

No face reconstruction: There's no CodeFormer-equivalent. For faces damaged by photographic paper aging, Cleanup.pictures would fill the selected area with generated content — not CodeFormer's reconstruction of the actual historical face detail.

No colorization: Cannot convert black-and-white to color.

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Comparison

| Factor | Cleanup.pictures | ArtImageHub | |--------|-----------------|-------------| | Cost | Free (limited) / $5–8/month | $4.99 one-time | | Scratch removal | Manual + AI fill (generated) | AI pattern recognition (automated) | | Object removal | ✅ Excellent | — | | Face reconstruction | ❌ Generates new content | ✅ CodeFormer (recovers original) | | Fading correction | ❌ No | ✅ GFPGAN | | Colorization | ❌ No | ✅ Yes | | Systematic old photo restoration | ❌ No | ✅ Yes | | Time per photo | Manual work required | 30–90 seconds automated |

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The Right Tool for Each Job

Use Cleanup.pictures for:

• Removing specific modern objects from photos (people, watermarks, power lines)
• Isolated scratch removal on photos where the rest of the image is clean
• Removing something from an otherwise good modern photo

Use ArtImageHub for:

• Old, faded, scratched family photographs
• Historical portrait restoration
• Systematic fading and damage correction
• Any old photo where faces are the primary restoration target

These tools are complementary rather than competing. A workflow: ArtImageHub for overall historical restoration → Cleanup.pictures for any specific remaining object removal in the restored image.

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Restore your old family photos at ArtImageHub — $4.99 one-time →

Results in 30–90 seconds · HD download · 30-day guarantee

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Related

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• ArtImageHub vs GIMP — free desktop editor with manual tools
• Photo Restoration Tips — how to get best results
• Best AI Tools for Old Photo Restoration in 2026 — 7-tool ranked comparison