Image Upscaler

Upscale images up to 4x with AI. Output PNG files in your browser, with file size and output dimensions checked before processing.

Free to use. Runs in your browser.

Select a low-resolution image and choose 2×, 3×, or 4× to upscale it using in-browser AI. Review the result before using it for publishing or print.

Drag & drop your image

or click to browse

PNG, JPG, WebP up to 10MB • Upscaling to 4x

No Account Required

Use the tool without signing in

Browser Processing

Selected images are handled in the browser

Up to 4x

Output capped at 4096px per side

How AI Image Upscaling Works

Traditional upscaling interpolates existing pixels, which can look soft or blocky. AI upscaling uses a model to infer sharper-looking edges and texture from the source image, but the result still needs review.

This tool uses an ESRGAN-based upscaler loaded by the page. It can help with photos, illustrations, and digital art, although exact results vary by source quality, compression, and image content.

The upscaler model code runs in your browser through the image upscaling library. It loads on demand and may be cached by your browser. Selected images are not uploaded to an iForge Apps server by this tool.

Upscaling Scale Comparison

Scale	Input → Output	Pixel Increase	Works Well For
2×	500×500 → 1000×1000	4× more pixels	Slight enlargements, sharpening
3×	500×500 → 1500×1500	9× more pixels	Social media, web use
4×	500×500 → 2000×2000	16× more pixels	Printing, large displays

What this means for you: Start with 2× and check the result. Higher scales produce larger files and take longer to process. You can always run 2× twice for a 4× result with more control at each step.

Tips for Better Results

Start Clean

The AI amplifies whatever's in the image, including noise, compression artifacts, and blur. If your source is heavily compressed, the upscaled version will show those flaws more prominently.

Photos vs Illustrations

Results vary by image type. Photos may get sharper-looking texture, while illustrations can get cleaner lines and smoother gradients. Check faces, hands, and text carefully.

Text in Images

Small text in low-res images is the hardest case. The AI may reconstruct letter shapes plausibly but not always accurately. For text-heavy images, 2× usually gives better results than 4×.

File Size Warning

A 4× upscale creates 16× more pixels, which means much larger files. A 1 MB photo can become 8 to 16 MB at 4×. Compress the result afterwards if you need a smaller file for web use.

AI Upscaling vs Traditional Methods

Method	How It Works	Quality	Speed
Nearest Neighbour	Duplicates pixels	Blocky, pixelated	Instant
Bilinear	Averages 4 nearby pixels	Smooth but blurry	Instant
Bicubic	Weighted average of 16 pixels	Better, still soft	Instant
Lanczos	Sinc-based resampling	Sharp, but limited to the source	Fast
ESRGAN-based AI	Model-based inference	May add sharper-looking detail	Varies

Traditional methods can only interpolate between existing pixels. AI upscaling is different because it infers detail from learned image patterns, which can improve some images and create artefacts in others.

Related Tools

Image Resizer

Resize to exact dimensions after upscaling

Image Compressor

Compress upscaled images for web use

Background Remover

Remove backgrounds with AI

Image to PNG

Save upscaled images as lossless PNG

Image to WebP

Convert to WebP for smaller files

Image Cropper

Crop before or after upscaling

How to use this tool

Select a PNG, JPG, or WebP image

Choose 2x, 3x, or 4x upscale factor

Download the upscaled PNG and review the result

Common uses

Enlarging small product photos for review before publishing
Preparing social media crops when a larger image is needed
Enhancing screenshots and UI mockups for portfolio presentations
Trying older photographs before deciding if manual restoration is needed
Creating larger draft images for posters or banners before final design review

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Frequently Asked Questions

What is the largest output I can create?

The tool supports 2x, 3x, and 4x scaling, but output is capped at 4096px per side and about 16.7 megapixels. If a scale would exceed that limit, choose a lower scale or resize the image first.

Do I need an account?

No account is required. Processing still depends on your browser, WebGL support, file size, and output-dimension limits.

Do you store or upload my images?

After the upscaler model code loads, selected images are processed in your browser by this tool and are not uploaded to an iForge Apps server.

What's the difference between 2x, 3x, and 4x?

The scale multiplies your image dimensions. 2x doubles size (1000px → 2000px, 4× more pixels), 3x triples it (9× more pixels), and 4x quadruples it (16× more pixels).

Why is the first use slower?

The upscaler model code is loaded on demand and may be cached by your browser. The first run can take longer than later runs.

What image formats are supported?

PNG, JPG, JPEG, and WebP files up to 10MB are accepted. Output is saved as PNG, so you may want to compress the result afterwards if file size matters.

How is AI upscaling different from regular upscaling?

Traditional upscaling interpolates existing pixels, which can look soft. AI upscaling uses a model to infer sharper-looking edges and textures from the source image, but results still need review.

Does it work on text in images?

Small text is the hardest case. The AI may reconstruct letter shapes plausibly but not always accurately. For text-heavy images, 2x usually gives better results than 4x.

Why is the output file so much larger?

A 4x upscale creates 16 times more pixels, which means significantly larger files. A 1 MB photo at 4x could become 8-16 MB. Compress the result afterwards using our Image Compressor if file size matters.

Will upscaling fix a blurry photo?

AI upscaling can help some soft images, but it works better on clean sources. Heavily blurred or very low-resolution images may look artificial because the model has to infer too much.

Does it work on illustrations and anime?

It can work well on illustrations, anime, and digital art. Clean lines and flat colours usually upscale more predictably than complex real-world textures.

Should I start with 2x or 4x?

Start with 2x and check the result. If you need more, run the 2x output through again. Two passes of 2x gives you 4x total with more control at each step.

Results are for general informational purposes only and should be checked before use. They are not professional advice. See our Disclaimer and Terms of Service.