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Professional AI-Powered Vectorization

AI Image Upscaler — Enlarge Images 2x-4x Without Losing Quality

AI image upscaler powered by Real-ESRGAN super-resolution technology. Enlarge photos, logos, and graphics 2x or 4x while preserving — and even enhancing — detail, sharpness, and color accuracy. No blur, no artifacts, no quality loss.

No credit card required • 1 free conversion • Instant results

4x
Max Upscale
< 10s
Processing
AI
Enhancement
Free
First Credit
Before
Before vectorization
After
After vectorization

Instant transformation • Zoom to see quality

See More Examples Below

Experience the Power of Vector Graphics

Zoom in, change colors, scale infinitely - all while maintaining perfect quality

Zoom
10x
RASTER28KB
Retro Sunset Logo - Raster

⚠️ Quality loss at 10x zoom

SVG7KB75% smaller
Retro Sunset Logo - SVG

✨ Perfect quality at 10x zoom

Retro Sunset Logo

Infinite Scalability

Zoom in 10x, 100x, or more - SVGs remain perfectly sharp at any size

Dynamic Styling

Change colors instantly with CSS - perfect for theming and branding

Optimized Files

Often smaller than raster images while being infinitely scalable

Why Choose Our Service?

Real-ESRGAN AI Technology

Powered by Real-ESRGAN, the leading open-source super-resolution model. It doesn't just add pixels — it reconstructs texture, edges, and fine detail that traditional upscaling destroys.

2x or 4x Enlargement

Choose 2x for moderate enlargement or 4x for maximum resolution boost. A 500px image becomes 2000px at 4x — with sharper detail than the original.

Face Enhancement Mode

Toggle face enhancement (GFPGAN) to restore facial details in portraits and group photos. Fixes blurry faces, smooths skin, and sharpens eyes automatically.

Instant Processing

Most images upscale in under 10 seconds. No queue, no waiting — upload and get your enhanced image immediately. Works on any device with a browser.

Works with Any Image Type

Logos, product photos, portraits, illustrations, screenshots, old photos, and graphics. Upload PNG, JPG, WebP, HEIC — we handle all common formats.

Then Vectorize (Optional)

Upscale first, then vectorize to SVG for infinite scalability. Higher-resolution input produces cleaner vector paths — the best workflow for logos and graphics.

Everything You Need

Real-ESRGAN AI super-resolution
2x and 4x enlargement options
Face enhancement with GFPGAN
No blur or artifacts
Preserves fine detail and texture
Works with photos and graphics
Process logos and illustrations
PNG, JPG, WebP, HEIC support
Print-ready output resolution
Then vectorize to SVG (optional)
Commercial use allowed
Free credit to try

From the maker of this tool

This site was built by one person. Design, code, SEO — all one person.

50+ live sitesFull-stack developmentDesign included
Get a free quote
I had a client's logo at 200x200px and needed it for a billboard. The AI upscaler took it to 800x800 with incredible detail recovery, then I vectorized it. The billboard looks flawless — the client couldn't believe it started as a tiny web graphic.
Marcus Rivera
Senior Graphic Designer, Pixel Perfect Studio

Simple Pricing

$9.99
for 50 credits

Each upscale uses 1 credit. Start with a free credit. Combine with vectorization for the ultimate logo cleanup workflow.

Get Started Now

Frequently Asked Questions

How does AI upscaling differ from regular upscaling?

Regular upscaling (bicubic, bilinear) just stretches pixels, creating blur. AI upscaling uses a neural network (Real-ESRGAN) trained on millions of image pairs to actually reconstruct detail — adding realistic texture, sharpening edges, and recovering information that simple scaling destroys.

What's Real-ESRGAN and why does it matter?

Real-ESRGAN (Real-World Enhanced Super-Resolution Generative Adversarial Network) is the leading open-source super-resolution AI. It's specifically trained on real-world images with real degradation patterns, so it handles actual photos better than models trained only on synthetic data.

Should I use 2x or 4x upscaling?

2x is ideal when you need moderate enlargement with minimal processing time. 4x gives maximum resolution but takes slightly longer. For logos destined for vectorization, 4x is recommended — more pixels means cleaner vector paths.

What does face enhancement do?

Face enhancement uses GFPGAN to specifically restore facial features — sharpening eyes, smoothing skin, and recovering detail that general upscaling might miss. Toggle it on for portraits and group photos, off for logos and graphics.

Can AI upscaling fix a very blurry image?

AI upscaling can significantly improve blurry images, but it's not magic — it works best when there's some detail to enhance. Heavily blurred or extremely low-resolution images (under 50px) may have limited improvement. For logos, try our logo cleanup pipeline which combines upscaling with vectorization.

Is AI upscaling good enough for print?

Yes! 4x upscaling can take a 1000px web image to 4000px — more than enough for most print applications at 300 DPI. For large format printing, upscale first then vectorize to SVG for unlimited resolution.

How does this compare to Topaz Gigapixel or Let's Enhance?

We use the same underlying technology (Real-ESRGAN) as many premium upscalers. Topaz Gigapixel ($199) has more settings and batch features. Let's Enhance ($12/mo) offers multiple AI models. We're more affordable for occasional use with pay-per-image pricing and no subscription required.

Can I upscale then vectorize for the best result?

Absolutely — this is our recommended workflow for logos and graphics. Upscaling first gives the vectorizer more detail to work with, producing smoother paths and more accurate shapes. Use the Image Upscaler first, then the Vectorizer, or try our Logo Cleanup pipeline that does both automatically.

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How AI Image Upscaling Works

Traditional Upscaling (Bad)

Traditional methods (bicubic, bilinear, nearest neighbor) simply stretch existing pixels to fill a larger canvas. The result is always blurry because no new information is created — just the same pixels made bigger. This is what happens when you increase image size in Preview, Paint, or most basic editors.

AI Super-Resolution (Good)

AI upscaling uses a neural network trained on millions of high/low resolution image pairs. It learns what detail should exist at higher resolutions and generates realistic texture, sharp edges, and recovered detail. The result looks genuinely higher resolution, not just stretched.

Best for Photos & Portraits

AI upscaling excels at photos with natural textures — skin, fabric, foliage, architecture. With face enhancement enabled, it specifically recovers facial details that other methods lose, making it ideal for restoring old family photos or enhancing low-res headshots.

Great for Logos & Graphics Too

While vectorization is the ultimate solution for logos, AI upscaling is the perfect first step. Upscale a tiny logo 4x to give the vectorizer more detail to work with. The result is cleaner vector paths and more accurate color reproduction.

AI Upscaler Comparison

ToolAI ModelMax ScalePriceVectorize
FreeSVGConverterReal-ESRGAN4x$0.20/imgYes (SVG)
Let's EnhanceMultiple models16x$12/moNo
Topaz GigapixelProprietary6x$199 one-timeNo
Bigjpgwaifu2x variant4x (free)$6/moNo
ImgLargerCustom AI4x$9.9/moNo

Best Use Cases for AI Image Upscaling

  • Enlarge product photos for high-res listings
  • Upscale logos before vectorization
  • Restore old family photos and portraits
  • Prepare images for large-format printing
  • Enhance screenshots and UI captures
  • Fix low-res images from old cameras
  • Upscale anime and digital art
  • Increase resolution for Cricut projects
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