Business documents often include complex structures such as line items, repeating sections, nested tables, and multi-page layouts that traditional extraction systems struggle to handle. ChromeIS’s Nested and Repeated Content Extraction accurately captures structured data from even the most complex documents as part of its Intelligent Document Processing solutions.
ChromeIS applies intelligent parsing techniques alongside contextual models to understand how data is structured within a document. Repeating elements such as line items, tables, and grouped fields are identified based on their relationships rather than their position on a page. Instead of processing each section in isolation, the system preserves parent-child connections and logical groupings across pages. This reduces the need for manual cleanup, improves accuracy, and allows extracted data to flow directly into automated enterprise workflows.
