Enlarge images up to 4x while preserving quality. Uses advanced interpolation algorithms (Bilinear, Bicubic, Lanczos) with optional sharpening.
Enlarge images while keeping them sharp. Traditional upscaling produces blurry results because it has to invent pixels that were not in the original. This tool uses enhanced interpolation techniques to produce cleaner, sharper enlargements, especially useful for small images, thumbnails, or low-resolution photos you want to use at larger sizes.
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Resize and scale images with smart aspect ratio control. Supports custom dimensions, percentage scaling, social media presets, and batch resizing while maintaining image quality.
Convert images to Base64 encoded strings for embedding in CSS, HTML, or JavaScript. Multiple output formats available.
Compare two images pixel-by-pixel. Multiple comparison modes: side-by-side, overlay, difference highlighting, onion skin, and slider. Perfect for visual regression testing.
A 400 px legacy product image must fill an 800 px slot without looking blurry.
Input
product.jpg 400×400 → 2× upscale
Output
product.jpg 800×800 with reconstructed edges, sharper than bilinear
An upscaling model infers plausible detail along edges rather than just averaging neighbours, so text and contours stay crisper than a browser stretch. It runs in the browser, keeping the asset private.
Enlarge images while keeping them sharp. Traditional upscaling produces blurry results because it has to invent pixels that were not in the original. This tool uses enhanced interpolation techniques to produce cleaner, sharper enlargements, especially useful for small images, thumbnails, or low-resolution photos you want to use at larger sizes.
Upscale low-resolution photos from older cameras or phones to usable sizes.
Enlarge small thumbnail images for use in presentations or documents.
Scale up images to meet minimum resolution requirements for printing.
Upscale small pixel art or game sprites while preserving hard edges.
Regular resizing uses basic interpolation that blurs edges. The upscaler uses smarter algorithms that preserve edges and add detail more intelligently.
2x is safest for most images. Going higher works better on images with simple content or hard edges (like pixel art). Photographic detail degrades more at higher factors.
No algorithm can create information from nothing. The upscaler makes educated guesses about what higher-resolution detail might look like, producing sharper results than simple interpolation.
Images are decoded, edited, and exported entirely inside this browser tab. No originals, exports, or metadata are uploaded.