How to Upscale an Image with AI

Some photos just don't have enough pixels. Old scanned prints, early smartphone shots, tiny profile pictures cropped from a group photo — they look fine at small sizes but fall apart the moment you try to print them, blow them up, or use them in a high-res context. Stretching a low-res image with standard resize just makes the blur worse; every pixel gets bigger, not sharper.

AI upscaling works differently. Instead of stretching existing pixels, it analyzes the image and synthesizes the detail that plausibly should have been there. The result is a 2x enlargement — double the width, double the height, four times the pixel count — that looks genuinely sharper rather than just bigger. Upload one image with its longest side at 2000px or under, and the tool saves a lossless PNG at twice the resolution.

Drop your image into the tool below and hit one button — the AI handles the rest. The first run downloads the model from a CDN, which takes a moment; after that it's cached in your browser and processes quickly. A Before/After slider lets you drag back and forth to see exactly what changed.

AI upscaling performs best on images that are small but still reasonably sharp. If the original is severely blurry or covered in compression artifacts, there's a limit to what the AI can reconstruct — it can only infer detail from information that's actually there. Profile photos, old scans, low-res product shots, and resized screenshots all tend to respond well. For extreme cases, a light sharpen in another tool before upscaling can help.

The output is always a lossless PNG, which means the file will be larger than the original — that's expected when you're quadrupling the pixel count while preserving every reconstructed detail. If you need a JPG or a smaller WebP, run the result through the convert tool afterward. Keep in mind that AI upscaling reconstructs plausible detail, not the ground truth — for moderately low-res images the improvement is striking, but it's not magic.