Image Resize

Image Resize ingests a source image and produces a resized asset for web and apps. Inputs include width, height, and format; a keep_aspect flag controls aspect ratio; a quality parameter governs compression; supported inputs include JPEG, PNG, WebP, GIF.
Algorithmic approach: It supports nearest neighbor, bilinear, and bicubic interpolation. When aspect preservation is enabled and both dimensions are provided, the tool computes the largest dimension that fits within the targets, with optional cropping or padding to fill the frame. If padding is selected, a background color can be applied to fill empty areas. This concept supports predictable results in design pipelines.
Outputs include the resized image file, final dimensions, and file size, with the ability to retain metadata and color profiles as requested. It is suitable for web managers, app developers, and content creators who require consistent image assets across platforms.
Unique value lies in explicit control over interpolation, aspect handling, and optional padding or cropping, combined with metadata retention and format conversion, enabling reproducible results in automated workflows.