Head-to-head · Image Upscaling Software
PixelPanda Image Upscaler vs Topaz Gigapixel
PixelPanda Image Upscaler leads on 2 checks, Topaz Gigapixel on 0, and 3 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scorePixelPanda Image Upscaler · 8.6/10
- Lowest starting pricePixelPanda Image Upscaler · $7/mo
- Free planonly PixelPanda Image Upscaler
- Most featuresTopaz Gigapixel · 3 of 3
PixelPanda Image Upscaler scores higher on our rubric for image upscaling software: 8.6 against 8.5 out of 10; our editors rank them #8 and #9.
PixelPanda Image Upscaler offers free plan; Topaz Gigapixel doesn't. PixelPanda Image Upscaler is cheaper to start at $7/mo against $12/mo. On upscaling method, PixelPanda Image Upscaler gives you Both where Topaz Gigapixel offers Ai.
PixelPanda Image Upscaler is the better fit for ecommerce and automation teams. Topaz Gigapixel is the better fit for professional photo and print workflows.
- PixelPanda Image Upscaler fits best
Ecommerce and automation teams
- Topaz Gigapixel fits best
Professional photo and print workflows
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Side by side
| Feature | PixelPanda Image Upscaler 8.6/10 Visit ↗ | Topaz Gigapixel 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.6 | 8.5 |
| Ranking | #8 in Image Upscaling Software | #9 in Image Upscaling Software |
| Best for | Ecommerce and automation teams | Professional photo and print workflows |
| Pricing model | Free plan + paid | Paid |
| Starting price | $7/mo (best) | $12/mo |
| Free plan | ✓ (best) | — |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Desktop |
| Platforms | Web | Windows, macOS |
| Support | Email, Docs | |
| Integrations | 14 integrations | 2 integrations |
| Built for | Solo, Small business, Mid-market | Solo, Small business, Mid-market, Enterprise |
| Features PixelPanda Image Upscaler 2/3 · Topaz Gigapixel 3/3 | ||
| Batch processing | ✓ | ✓ |
| API access | ✓ | ✓ |
| Desktop app | Not checked yet | ✓ (best) |
| Specs | ||
| Upscaling method | Both | Ai |
| Maximum scale | 8x | Not checked yet |
| Input formats | JPG, PNG, WebP | JPG/JPEG, PNG, TIF/TIFF, DNG, RAW; HEIF/HEIC, WEBP, PPM, PGM, PBM, PNM |
| Our review | ||
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| Cons |
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| Our verdict | PixelPanda Image Upscaler is a browser-based image enlargement tool for creators, ecommerce sellers, marketers and production teams. It accepts JPG, PNG and WebP uploads and uses Real-ESRGAN AI enhancement to increase resolution, sharpen… Read the review → |
Topaz Gigapixel is a desktop image-upscaling application for photographers, artists, designers, illustrators, and creative teams. It uses AI models to enlarge images, restore detail, sharpen results, and recover faces. The application… Read the review → |
Strengths and trade-offs
PixelPanda Image Upscaler — where it wins
- 2x, 4x and 8x enlargement with Real-ESRGAN AI enhancement
- Batch API processing with webhook notifications
- Commerce and automation integrations including eBay, Zapier and Make
Where it doesn't
- Pricing spans one-time, weekly and monthly options to compare
- API documentation lists 2x and 4x scaling for batch workflows
- Browser-based access may not suit offline image-processing workflows
Topaz Gigapixel — where it wins
- AI upscaling with restoration, sharpening, and detail recovery
- Batch processing plus unlimited local and cloud rendering
- Photoshop and Lightroom Classic plugins with Windows and macOS support
Where it doesn't
- No free plan for evaluating the workflow
- Personal plans do not include full commercial use
- Pro pricing starts at $42 per month when billed annually
- PixelPanda Image Upscaler8.6/10 · Free plan
A flexible upscaler for ecommerce teams needing credits, automation and batch workflows.
Visit PixelPandaFull verdict → - Topaz Gigapixel8.5/10 · Paid
A capable choice for professional enlargement, restoration, and print preparation.
Try Topaz GigapixelFull verdict →
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- SupaRes vs PixelPanda Image Upscaler
All image upscaling software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





