Make small, blurry images 2x larger and sharper with AI. Compare against the original and save as PNG.
Click to choose a file Drag an image here
JPG, PNG, WebP, and more · longest side ≤ 2000px
How to use it
- 1Drop or click to upload your image. (longest side must be 2000px or less)
- 2Press "Upscale 2x" and the AI will double the resolution.
- 3Drag the Before/After slider left and right to compare the original with the result.
- 4Happy with the result? Save it as a lossless PNG.
Handy tips
- The first run downloads the AI model, so it takes a moment. After that it is cached in your browser and runs much faster.
- Very blurry or heavily noisy originals have limits. You get the best results from images that are small but still reasonably sharp.
- The result is saved as lossless PNG, so every detail the AI recovered is preserved.
How AI upscaling differs from plain enlarging
Simply blowing an image up to 2x just fills the gaps between existing pixels by blending neighboring colors, so it looks as fuzzy and smeared as it is big. This tool works differently. A GAN-based AI model, trained on countless pairs of low- and high-resolution photos, infers "a blurry pattern like this was probably this kind of detail" and draws fresh edges and texture back in.
So parts that plain enlarging turns to mush — eyes, hair, the edges of letters — come back noticeably crisper. It effectively reconstructs plausible information that wasn't there, so even at the same 2x the sharpness of the result is on a different level. That said, since the AI is guessing to fill in, it's not magic that can perfectly invent detail the original never held.
Images that shine, and the limits
You get the best results from images that are small but in focus and sharp. A profile picture saved at low resolution, a small screenshot, and line-clear illustrations or logos are prime examples. When the original still carries some shape information, the AI uses those cues to reconstruct detail well.
Badly blurred shots, ones full of noise or compression artifacts, or photos that are completely out of focus have limits. The AI can't make something from nothing, so those images may not come back as much as you hoped, or can pick up odd texture. In that case, tracking down a slightly sharper original and trying again works better.
Understanding the first load and processing time
The first time you press "Upscale 2x," it downloads the upscaling AI model and its runtime engine once. So the first run takes a little longer with the download added in. The model is cached in the browser, so on the same device and browser it starts straight away next time with no download.
The processing itself isn't instant either. Computing a large image all at once could run out of memory, so it splits the image into small tiles, processes them in order, and stitches them back together — which is why the progress bar takes time to fill. Capping the longest side at 2000px is also there to let this finish reliably. Depending on your device and the image size, it can take from a few seconds to a few dozen.
Frequently asked questions
No. Upscaling runs 100% inside your browser and the image file is never transmitted anywhere. Only the AI model file is downloaded once on first use.
The scale is fixed at 2x. For example, an 800x600 image becomes 1600x1200.
AI upscaling is memory-intensive, and very large images can slow down or crash the process. Limiting the longest side to 2000px keeps processing stable and reliable.
The result is saved as lossless PNG to preserve every detail the AI added.
An in-focus face photo usually looks natural, with the detail in eyes and hair coming back crisp. Line-clear illustrations and logos also enlarge with clean edges. If the original is very blurry the fine detail can look off, so check with the Before/After slider before you save.
If the original is badly blurred or full of noise and compression artifacts, the AI has too few cues to reconstruct from, so there's a limit. Finding a slightly sharper original and trying again works better. Remember the AI can't create information from nothing.