Extracting structures inside structures focuses on capturing data that repeats in a consistent pattern rather than treating everything as flat fields. This includes invoice line items, table rows, sections with nested sub-fields, and lists where each item follows the same shape.
Clear information on availability, usage terms, and continued access throughout the service lifecycle.
This approach ensures correct grouping so related items stay together and line items are not mixed or misassigned. It produces stable schemas that are easy to integrate with downstream systems, reducing the need for custom handling. By supporting nested and repeating structures, it scales smoothly to complex documents such as tables, checklists, and schedules. The structure is also debuggable, making it clear why a specific item belongs where it does, which improves transparency and trust in the extracted data.
