AI image upscaler

Design tools

Twice the pixels, without the blur

An AI super-resolution model enlarges your image 2× or 4× right in your browser, recovering edges and texture that ordinary resizing smears.

Drop an image to upscale or browseJPG, PNG or WebP — enlarged on your device, nothing uploaded

About this tool

Super-resolution, on your own device

Ordinary enlarging just stretches pixels, so edges blur and text softens. A super-resolution model has learned what detail usually looks like and redraws it at the higher size. This runs a compact Swin2SR model in your browser: it downloads once (about 7 MB for 2×, 21 MB for 4×, then cached), processes the image in tiles so large photos fit in memory, and shows a before-and-after slider against ordinary resizing so you can see what you are getting.

  • Free, no sign-up
  • Runs on your device
  • No watermark

2× or 4×

Double or quadruple each side. The model is chosen for each scale.

Tiled for big images

The image is processed in overlapping tiles, so a large photo upscales without running out of memory.

Private by design

The model runs on your device; your image never leaves the browser.

Step by step

How to upscale an image

  1. Add an image

    Drop a JPG, PNG or WebP — small images benefit most.

  2. Choose 2× or 4×

    The first run downloads the model (about 7 MB for 2×, 21 MB for 4×); after that it is cached.

  3. Compare and download

    Drag the slider to compare with ordinary resizing, then download PNG, WebP or AVIF.

Get the most out of it

Tips for the best results

  • Start smallUpscaling suits small images; enlarging a large photo takes time and adds little.
  • 2× twice can beat 4×For some images, two 2× passes look cleaner than one 4×.
  • Compress afterUpscaled images are large — run the result through the image compressor.
  • Use a laptop for big jobsPhones work, but large images are much faster on a computer.

Questions

Questions about this tool

Everything here runs in your browser — nothing you add is uploaded. More in the general FAQ.

How does AI upscaling work?

A neural network trained on pairs of low- and high-resolution images predicts the missing detail when enlarging. Unlike bicubic resizing, it sharpens edges and reconstructs texture.

Is it really free with no watermark?

Yes. The model runs in your browser, so there are no server costs to recover and nothing to watermark.

Why is the first upscale slow?

The model (about 7 MB for 2×, 21 MB for 4×) downloads the first time and is then cached by your browser. Upscaling itself takes from a few seconds for small images to several minutes for large ones at 4×, depending on your device.

Can it upscale any size?

The output is capped at about 16 megapixels so it fits in browser memory; very large images are better resized than upscaled.

Is my image uploaded?

No. Only the model is downloaded; your image is processed on your device.