Image Resizer
Resize images with professional-grade resampling algorithms. Choose from Lanczos, Bicubic, Bilinear, Nearest Neighbor, and more.
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New Dimensions
Resampling Algorithm
Resampling Algorithms Explained
Lanczos (Lanczos3) provides the sharpest results for downscaling photos. Bicubic (Mitchell–Netravali) is the standard choice for most general resizing. Bilinear (Triangle) is faster with acceptable quality. Nearest Neighbor preserves hard pixel edges — ideal for pixel art and icons. Box excels at clean integer-ratio downscaling, and Hamming offers a sharper alternative to bilinear.
6 Algorithms
Professional resampling from Lanczos to Nearest Neighbor.
Aspect Ratio Lock
Automatically maintain proportions or set custom dimensions.
Pixel Art Friendly
Nearest Neighbor keeps sharp pixel edges intact.
About image resizing
Image resizing is the process of changing the pixel dimensions of an image. The resampling algorithm determines how new pixel values are calculated from existing ones. Different algorithms produce different quality and performance characteristics.
Lanczos3 uses a windowed sinc function across a 6×6 pixel neighborhood, producing the sharpest results with minimal ringing. Bicubic (Mitchell–Netravali) balances sharpness and smoothness using cubic polynomials. For pixel art, Nearest Neighbor simply picks the closest pixel without interpolation, preserving crisp edges.
Frequently Asked Questions
Upload your image, enter the new width and/or height in pixels and download the resized image. Keep the aspect ratio locked to avoid stretching.
JPG, PNG, WebP, GIF, BMP, TIFF, ICO and AVIF images up to 20 MB.
Making an image smaller keeps it sharp. Enlarging beyond the original size cannot add detail, so the result may look soft.
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