Image Upscalers Ranked: AI vs Traditional in 2026
Traditional upscaling stretches pixels. AI upscaling adds real detail. We tested six tools to see how big the gap has gotten.
Upscaling a low-resolution image used to mean choosing between blurry or artificially sharpened. AI upscalers in 2026 genuinely add detail that was not in the original — reconstructing textures, sharpening edges, and recovering fine detail. But how much better are they really?
PonPon's own AI image upscaler sits in this AI-native camp, adding detail rather than just sharpening edges.
We took 40 images at various resolutions and upscaled them 4x with six different tools: three AI-powered and three traditional. Then we scored the results.
The tools tested
AI upscalers:
- PonPon Upscaler
- Topaz Gigapixel AI
- Let's Enhance
Traditional upscalers:
- Photoshop Bicubic Smoother
- GIMP Sinc (Lanczos3)
- Pixelmator Pro Super Resolution
Detail recovery
This is where AI upscalers dominate. When upscaling a portrait from 256px to 1024px, traditional methods produce a smooth, blurry face. AI upscalers reconstruct pores, eyelash detail, and fabric texture that were not visible in the source.
Ranking: PonPon > Topaz > Let's Enhance >> Photoshop > Pixelmator > GIMP
PonPon's upscaler produced the most natural-looking detail recovery in our tests. Textures look real rather than painted on. Topaz Gigapixel is also excellent but occasionally over-sharpens, creating an artificial crunchiness on skin.
Artifact handling
Low-quality JPEGs with compression artifacts are the hardest test case. Bad upscalers amplify those artifacts. Good ones suppress them.
Ranking: Topaz > PonPon > Let's Enhance >> Pixelmator > Photoshop > GIMP
Topaz has a slight edge here with its dedicated denoising pipeline. PonPon handles JPEG artifacts well but occasionally preserves minor blockiness in extremely degraded sources. Traditional tools amplify every artifact in the original.
Speed
| Tool | Average 4x upscale time |
|---|---|
| PonPon Upscaler | 8 seconds |
| Let's Enhance | 15 seconds |
| Topaz Gigapixel | 25 seconds (local GPU) |
| Photoshop | 2 seconds |
| Pixelmator | 3 seconds |
| GIMP | 1 second |
Traditional tools are faster because they are doing simpler math. Among AI upscalers, PonPon is fastest because processing happens on cloud GPUs. Topaz runs locally, so speed depends on your hardware.
Video upscaling
Most upscalers are image-only. PonPon and Topaz both support video upscaling. PonPon handles it through the web interface — upload a clip and get an upscaled version back. Topaz requires a desktop app.
For creators who need to upscale old footage, repurpose vertical content to horizontal, or clean up screen recordings, video upscaling is essential. PonPon's cloud-based approach means you do not need a powerful local GPU.
Natural look vs over-sharpening
The biggest risk with AI upscaling is over-processing. Some tools add so much sharpening that the result looks worse than a slight blur.
PonPon strikes the best balance in our testing — images look naturally sharp without the crunchy, over-processed look. Topaz's default settings tend toward aggressive sharpening (adjustable, but the defaults are heavy). Let's Enhance occasionally produces an HDR-like effect on landscapes.
Pricing
| Tool | Model | Cost |
|---|---|---|
| PonPon | Credit-based | Free tier + pay per use |
| Topaz | One-time purchase | $99 |
| Let's Enhance | Subscription | $12/month |
| Photoshop | Subscription | $23/month |
| Pixelmator | One-time purchase | $50 |
| GIMP | Free | Free |
PonPon's credit-based pricing is the most flexible — pay for what you use with no upfront cost. Topaz is the best value for heavy users who want local processing. GIMP is free but the quality gap makes it impractical for professional work.
Verdict
AI upscalers have made traditional upscaling obsolete for quality-sensitive work. Among AI options, PonPon offers the best combination of natural-looking output, speed, video support, and flexible pricing. Topaz is the choice for users who prefer local processing and do not mind tuning settings. Traditional tools remain fine for minor upscaling where quality is not critical.
