Enabling automation of web content authoring workflow through genai

Abstract

A computing system and method that receives design input from a source system, processes the design input using artificial intelligence to identify distinct components, generates standardized representations of the components, performs similarity analysis to match the components with existing templates from a database, extracts relevant data from the components and maps the data to appropriate schema structures, and converts the populated schemas into a format compatible with a target system. The automated process leverages machine learning models and multimodal analysis techniques to transform visual designs into functional content without manual intervention, improving efficiency and consistency in content creation workflows.