How to increase image resolution without losing quality
Making an image bigger the normal way — dragging it larger or using "resize" — spreads the same pixels over a larger area, and the picture goes soft. An AI image upscaler works differently: it has learned what real detail looks like and fills it in. Here is how to get the best from it.
Upscaling vs resizing
Resizing changes the number of pixels by averaging the ones you have, so nothing new is added. Upscaling with AI generates new pixels that match the picture — edges, textures and lettering — so a 500-pixel image can become a 2,000-pixel image that still looks sharp. If you only need to make an image smaller or fit a platform, our free image resizer is enough.
How big can I go?
Super Resolution 4K makes an image up to four times larger on each side. Start with the largest version of the photo you have: a 1,000-pixel original upscaled 4× gives a 4,000-pixel result, enough for an A3 print or a 4K screen.
Upscaling for print
Printers think in dots per inch (DPI). A sharp print needs around 300 pixels for every inch at reading distance, and about 150 for posters seen from further away. An A4 page at 300 DPI is roughly 2,480 × 3,508 pixels, so a phone screenshot needs upscaling before it goes to the printer. Upscale, then export at the full size from a paid plan — paid plans export up to 4K, while the Free plan exports up to 720p with a small watermark.
Old, blurry or noisy photos
Upscaling makes everything bigger, including scratches and noise. For old scans, run AI Image Restore first to clean up artefacts, then upscale. For dull or dark photos, the AI photo enhancer fixes exposure and colour.
What the Free plan includes
The Free plan includes 4 AI photo tool uses a month, and each upscale costs 1 credit. Paid plans remove the monthly cap and export at full resolution without a watermark. See pricing.
