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A data-grounded look at how these two image & design tools stack up — to help you pick the right image & design tool in 2026.
Quick verdict
There's barely a point between Cleanup.pictures and Topaz Labs on our Editor Score. Pick Cleanup.pictures if you want AI inpainting object and people removal; choose Topaz Labs for gigapixel image upscaling up to many times resolution. On pricing, Cleanup.pictures is the one with a free or freemium plan, so it's the cheaper place to start.
| Pricing | Freemium | Paid |
| Free tier | ||
| Best for | AI inpainting object and people removal | gigapixel image upscaling up to many times resolution |
AI object remover that erases anything from photos
AI software for upscaling and enhancing photos and video
Choose Cleanup.pictures if…
Choose Topaz Labs if…
It comes down to fit, not a single winner: Cleanup.pictures leans into AI inpainting object and people removal, while Topaz Labs is built for gigapixel image upscaling up to many times resolution. Weigh features and pricing for your workflow. Cleanup.pictures is the lower-cost place to start thanks to its free or freemium plan; the other is worth a trial if its feature set fits better.
Neither is universally better — it depends on your budget and which features matter most. The side-by-side breakdown above shows where each one wins.
Cleanup.pictures (freemium) is best for AI inpainting object and people removal, while Topaz Labs (paid) is best for gigapixel image upscaling up to many times resolution. See the full feature and pricing comparison above.
Cleanup.pictures has a free or freemium plan, so it's the cheaper way to start. For paid plans, check each tool's current pricing on its review page.
Cleanup.pictures is usually the easier starting point thanks to a lower barrier to entry. Beginners should favour a free tier and a simple interface over raw power.
Other head-to-heads in the same category.
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Keep exploring
Last updated August 2026. Comparisons are ranked by our Editor Score (features, value and pricing, blended with verified user reviews where a tool has them) — see our methodology.