About AI Image Upscaler
Image Upscaler makes small images bigger without the usual blur. It uses AI super-resolution to rebuild detail, so a 400-pixel thumbnail can become a sharp 1600-pixel image that holds up on modern screens and in print.
How it works
A regular resize (the kind built into every image editor) only stretches existing pixels and averages them together. The result is bigger but soft and fuzzy. This tool uses Real-ESRGAN, a neural network trained on millions of image pairs to predict what the missing high-resolution detail should look like. It sharpens edges, cleans up compression artifacts and restores texture in skin, fabric, foliage and text.
The image is processed in small tiles so the browser stays responsive, then the tiles are stitched back together. If your browser supports WebGPU, the graphics card does the work and larger images are allowed. Otherwise the tool falls back to the CPU with a smaller size limit.
What you can use it for
- Old or low-resolution photos from early phones, scanned prints or social media downloads.
- Product images supplied by vendors at a size too small for your website.
- Illustrations, game art and anime, where the model keeps lines crisp.
- Printing: bring a web image closer to the resolution a printer needs.
Tips for the best results
- Start from the original file rather than a screenshot of it. Every extra round of compression removes detail the AI can work with.
- Use 2× when the image is already fairly sharp, and 4× for tiny images under about 500 px.
- Drag the comparison slider to check faces and text. AI upscaling invents plausible detail, so very small faces may not match the real person exactly.
- Download as PNG to avoid adding new JPG artifacts to your freshly sharpened image.
Good to know: super-resolution can't recover information that was never captured. A badly out-of-focus photo will get bigger and cleaner, but it won't become a perfectly sharp picture.