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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 Icons8 Smart Upscaler and Topaz Labs on our Editor Score. Pick Icons8 Smart Upscaler if you want AI upscaling up to 7680x7680 pixels; choose Topaz Labs for gigapixel image upscaling up to many times resolution. On pricing, Icons8 Smart Upscaler 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 upscaling up to 7680x7680 pixels | gigapixel image upscaling up to many times resolution |
AI photo upscaler with batch processing to 7680px
AI software for upscaling and enhancing photos and video
Choose Icons8 Smart Upscaler if…
Choose Topaz Labs if…
It comes down to fit, not a single winner: Icons8 Smart Upscaler leans into AI upscaling up to 7680x7680 pixels, while Topaz Labs is built for gigapixel image upscaling up to many times resolution. Weigh features and pricing for your workflow. Icons8 Smart Upscaler 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.
Icons8 Smart Upscaler (freemium) is best for AI upscaling up to 7680x7680 pixels, while Topaz Labs (paid) is best for gigapixel image upscaling up to many times resolution. See the full feature and pricing comparison above.
Icons8 Smart Upscaler 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.
Icons8 Smart Upscaler 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.
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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.