The U.S. Chamber of Commerce reports that the federal government uses nearly 10,000 unique forms, and processes over 106 billion pieces of paperwork annually. Typically standardized as PDF files and paper formats, these forms present a significant challenge for organizations undergoing digitization initiatives: transforming them into interactive web applications that traditionally requires weeks of manual development work per form, depending on length and complexity. In many cases, digital/web forms exist in parallel with paper/PDF forms to offer users flexibility and accommodate various technology needs.
When policy mandates revisions to the paper or PDF forms, the digital forms need to stay up to date with their paper twin to ensure parity in data collection. We often see this with our federal government and large business customers that need to undergo regular updates to paper/PDF forms, at times with complicated business rule changes, which creates a challenging process for updating the digital versions.
This whitepaper presents an AI-assisted approach to form digitization as part of our Cadmus Logic.AISM ReGenX product suite designed to accelerate enterprise-scale modernization. Using large language models (LLMs) combined with intelligent post-processing, the ReGenX form digitization engine can extract complete form definitions from PDF documents in minutes rather than weeks. The system produces three distinct schema outputs that any front-end framework can consume directly to render fully functional, validated forms.
To learn more about Cadmus’ technical architecture for intelligent form extraction, access the full white paper using the button below.
