Image Upscaler
Make small images larger for printing, presentations or high-resolution screens. Choose 1.5×, 2×, 3× or 4×, pick the method that suits the picture – smooth interpolation with edge sharpening for photos, smooth scaling for illustrations or crisp pixels for pixel art and screenshots – and download the enlarged image. Processing happens in your browser.
- Files stay on your device
- No sign-up
- Free to use
Hold “Compare” to see the original. The preview is reduced to fit the screen; download to see the full resolution.
Upscaling
Classic interpolation, not AI: it makes the image larger and crisper but cannot invent detail that is not in the original. The longest side is limited to 8,192 px.
Output
How to use Image Upscaler
- Drop one or more images onto the page.
- Choose the scale and method.
- Adjust sharpening and noise smoothing while comparing.
- Download the upscaled images.
Image Upscaler features
Up to 4×
Within the limits of browser canvases (8,192 px, 50 MP).
Stepwise interpolation
High-quality smoothing in steps of at most 2×.
Edge sharpening
Unsharp mask tuned to the scale factor.
Noise smoothing
Median filter removes JPEG speckle before enlarging.
Pixel art mode
Nearest neighbour keeps hard pixel edges.
Batch
Up to 50 images, saved as a ZIP.
When to use Image Upscaler
- Enlarging small product photos for a shop.
- Preparing images for print at higher DPI.
- Scaling pixel art and game sprites without blur.
- Making screenshots sharper in slides.
Image Upscaler FAQ
Is this AI upscaling?
No. It uses classic interpolation and sharpening, which run instantly in your browser. It makes images larger and crisper but cannot recreate detail that was never captured.
Which method should I use?
Photos: smooth with sharpening. Logos and drawings: smooth without sharpening. Pixel art, icons and screenshots of text: nearest neighbour.
Why is there a size limit?
Browsers limit canvas size. The longest side is capped at 8,192 pixels and the total at about 50 megapixels.
Will upscaling fix a blurry photo?
Only a little. Sharpening improves edges, but motion blur and focus blur cannot be removed by enlarging.
Which format is saved?
The original format by default; choose PNG for maximum quality or JPG/WebP for smaller files.
Are my images uploaded?
No. Everything is processed on your device.
How image upscaling works
Enlarging an image means creating new pixels between the existing ones. Simple methods copy the nearest pixel, which looks blocky, or average neighbouring pixels, which looks soft. Higher-quality filters weigh more neighbours to produce smoother gradients with less blur.
This upscaler enlarges in steps of at most two times using the browser’s high-quality smoothing, which keeps gradients smooth and avoids the artefacts of one large jump. For photos, an unsharp mask scaled to the enlargement factor then restores edge contrast lost in the interpolation.
Noise and compression artefacts grow with the image. An optional median filter removes small speckles from JPEG images before they are enlarged, at the cost of very fine texture, so it is off by default.
Pixel art is different: its hard edges are the point. Nearest-neighbour scaling repeats each pixel and keeps them square, which is ideal for sprites, icons and screenshots of text at whole-number factors.
How large can you go? For printing, a common rule is 300 pixels per inch for photos viewed up close and 150 for posters seen from a distance. A 1200-pixel-wide photo enlarged 2× gives 2400 pixels, enough for an 8-inch print at 300 ppi. Beyond about 4× the result looks soft whatever the method, because the original simply holds too little information; in that case a smaller print or a better source image is the honest answer.
AI upscalers work differently: they are trained on many photos and guess plausible detail such as skin texture or foliage. That can look impressive, but the added detail is invented, which matters for documents, evidence or products. This tool deliberately only uses the information in your image and runs entirely on your device.