Image upscaler
Upscale photos 2x or 4x, enhancing sharpness and fine details without blurriness. Perfect for printing or restoring small images.
Upscaling increases resolution and dimensions. If you want to optimize your photos and reduce megabytes without visible quality loss, use Compress image.
Drag and drop your images here
Or click to browse from your device. Batch-process hundreds of photos with zero queues or limits.
Upscale image resolution with AI without blurriness (Super-Resolution)
When you enlarge a low-resolution photo using standard image viewers, the picture pixelates, edges blur, and ugly digital artifacts appear. This is especially frustrating when trying to print old phone photos or use small icons in large designs.
This tool uses neural super-resolution models to reconstruct missing details, smoothing edges and adding texture while doubling (2x) or quadrupling (4x) the pixel count. The result is a crisp, high-resolution image ready for printing or high-density screens.
Before and after comparison
Check the difference in file size, visual quality, and speed.
400 × 400 px
Pixelated and blurry when scaled up
- •Visible blocky pixels and jagged stair-step edges.
- •Cannot be printed physically without looking out of focus.
- •Complete loss of fine details on text, eyes, and textures.
1600 × 1600 px
Crisp outlines and reconstructed fine textures
- ✓Clean vector-like lines and sharp edges without pixelation.
- ✓High DPI output ready for physical print (300 DPI).
- ✓Smart neural enhancement processed directly in your browser.
When you will need to upscale an image
Restore old and low-res photos
Enhance photos taken on older digital cameras or compressed images saved from messaging chats.
Print posters, canvas prints & wall art
Multiply pixel count to print images on large canvas or photo paper without pixelated blur.
Logos and graphics for Retina displays
Double the clarity of graphical assets so they look crisp on modern 4K monitors and mobile screens.
Frequently asked questions about AI upscaling
Standard scaling simply duplicates neighboring pixels, creating blur. Super-resolution predicts what fine textures and details should exist based on surrounding patterns, generating realistic new pixels.
Yes. It works on real-world photos, portraits, landscape captures, illustrations, and logos.
No. The neural model leverages your devices graphics hardware acceleration directly inside your browser via WebGL.