Abstract
Conventional print workflows often compromise document fidelity due to early-stage transformations performed by the operating system’s print subsystem. This results in poor layout preservation, inefficient scaling, and suboptimal formatting - particularly when printing from dynamic sources such as web applications. To address these limitations, this invention presents a novel method and system for intercepting print commands, including the Ctrl+P action, at the application level to capture the original, unprocessed content before it reaches the print driver or spooler. A lightweight monitoring module detects print initiation events and extracts raw document data, such as source HTML or structured content. This content is then processed by an AI-powered engine that intelligently optimizes layout, formatting, and scaling based on the target paper size, type, and print job requirements. The system also supports user-adjustable previews and intelligent preprocessing to ensure high-fidelity, waste-reducing, and aesthetically enhanced print outputs. By preserving the integrity of the original content and applying AI-driven refinements, the solution significantly improves print accuracy, reduces material waste, and enables more reliable and intelligent browser-based and application-level print workflows. It also supports advanced use cases such as content validation, security auditing, and smart print management - while maintaining a seamless and user-friendly experience.
Creative Commons License
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Recommended Citation
INC, HP, "AI-Enhanced Print Interception System for Optimized Document Output", Technical Disclosure Commons, (October 07, 2025)
https://www.tdcommons.org/dpubs_series/8689