OCR was a meaningful technological step forward. It made scanned documents searchable and reduced some of the manual indexing work that bogged down records teams. But it has a ceiling. While it reads characters, it cannot understand text.
Intelligent document processing goes further. Using generative AI, it reads documents in a human-like pattern. This contextual foundation helps identify a document type, highlight relevant fields, validate them against existing data, and route the result without manually reviewing every page.
The difference in throughput is significant. Particularly for departments handling high volumes of incoming records — admissions, HR, accounts payable.
Confidence scoring helps ensure accuracy, flagging lower-certainty extractions for human review while letting clean records move through automatically. In practice, that means faster processing without trading away the oversight that compliance requires.
Case Studies Related to Intelligent Document Processing
How Wilkes Community College Uses Virtual Capture Tools to Reduce Costs and Increase Operational Agility
Wilkes Community College modernized workflows, cut costs, and improved student services with Softdocs across finance, HR, and student departments.
Recent Webinars on Intelligent Document Processing
Customer Panels
Conversations with the customer teams who did the work, discussing implementation, lessons learned, and key results.
Product Updates
Key platform release overviews, including roadmap updates.
Dive Into Intelligent Document Processing
Automate data extraction, classification, and validation for every captured document.
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