Image Resize

The tool solves image resizing by taking a source image and target dimensions in pixels, then producing a resized output that can preserve aspect ratio or apply crop or padding as needed. It is used by web teams, content creators, and ecommerce managers to ensure consistent media assets before publication. For example, resizing 1024x768 to 800x600 with a chosen fit mode can maintain visual balance and meet platform requirements.

Core logic and features include: required inputs (source image, target_width_px, target_height_px) and optional controls (preserve_aspect_ratio, fit_method, output_format, quality). Advanced options include batch processing and metadata handling. The tool supports JPEG, PNG, and WebP; color space handling aims to preserve the source where possible. Advanced users can predefine behavior per image in a batch and obtain consistent results.

Algebraic approach: if fit_method = 'pad' and preserve_aspect_ratio=true, scale = min(Wout/Win, Hout/Hin); result_w = floor(Win*scale); result_h = floor(Hin*scale). If 'crop', scale = max(Wout/Win, Hout/Hin); then crop_x = (scaled_W - Wout)/2; crop_y = (scaled_H - Hout)/2. If not preserving, simply set to WoutxHout. The tool outputs the final image in the chosen format with defined compression; sample: 800x600 JPEG at quality 85.

Error handling and edge cases include invalid inputs, missing image, non-positive dimensions, unsupported formats, or inconsistent batch inputs. If quality or color-space options are invalid, defaults are applied. Large upscaling may reduce perceived quality; results may vary with source compression and color profiles. Assumes input image is readable and does not perform color correction or vector scaling; file I/O is outside scope.