Why Images Look Blurry When Enlarged
Stretching a small image to a larger size with basic tools just blows up existing pixels, producing a blurry, blocky result. Real upscaling needs to intelligently fill in the new pixels to maintain sharp edges and detail.
How Our Upscaler Works
The Image Upscaler uses high-quality Lanczos resampling — a mathematically precise resizing algorithm — combined with unsharp-mask sharpening and a contrast boost to counter the natural softness that comes from enlarging an image. The result: a noticeably sharper, more detailed image at 2× or 4× the original size.
When You'd Want to Upscale an Image
Step-by-Step
Tips for Best Results
Frequently Asked Questions
Does this use AI like other upscalers?
It uses advanced resampling and sharpening algorithms (Lanczos + unsharp mask) rather than a neural network — fast, reliable, and effective for most everyday upscaling needs.
What's the maximum size I can upscale to?
Up to 4× the original dimensions, with an automatic safety adjustment for very large source images to ensure smooth processing.
Will upscaling fix a blurry photo?
It can improve sharpness and perceived detail, but it can't recover detail that was never present in the original — for best results, start with the sharpest source available.
Related Tools
Pair this with the Image Compressor to balance size and quality, or the Batch Image Resizer for bulk operations.