Renaming files based on their file size or pixel dimensions generally requires specialized software or scripts, not basic operating system functions. File size refers to the physical space a file occupies (measured in KB, MB, GB), reflecting how much data it contains. Dimensions specifically apply to image or video files, indicating width and height in pixels. While native file explorers like Windows Explorer or macOS Finder let you sort by these properties, renaming directly using them isn't a standard feature.

In practice, automation tools like Bulk Rename Utility, Adobe Bridge, or Python scripts handle renaming by file size or dimension metadata. For instance, a photographer might automatically rename thousands of landscape photos using the format "Landscape_[Width]x[Height].jpg" based on each image's dimensions. Similarly, developers could script renaming log files exceeding a certain size threshold to "Archive_Over1GB_[OriginalName]" to flag large files needing review.

This automated renaming offers better organization and filtering based on specific physical characteristics, aiding tasks like managing large media libraries. However, relying solely on dimensions or size for naming can omit descriptive context and may require consistent preprocessing (e.g., resizing images before reading dimensions). Dedicated tools provide the necessary control for these specialized naming strategies.