Extract Data Instantly with UCC Financing Statement OCR

Our layout-aware form capture reads the page the way a person does—respecting boxes, columns, headers, and footers—so key blocks stay in the correct order. That means debtor/secured party names, addresses, and filing metadata land in the right fields for reliable extraction and matching.

Yes. We parse table-like formatting and dense attachment sections cleanly, preserving structure so collateral language remains searchable and usable. This reduces manual cleanup when indexing long descriptions, continuation details, and addendum pages.

We can return structured JSON with element metadata so you can programmatically validate, store, and reconcile fields like debtor name, file number, and addresses. It’s designed to plug into your workflows without post-processing every document.

Yes—outputs can include page-level citations and references to the exact location where each value was found. This makes it easy to review edge cases and prove data lineage when compliance or internal QA requires it.

We use agentic accuracy loops that validate results and correct common OCR mistakes caused by noisy scans or stamps. That reduces exceptions on high-stakes fields—like legal names and file numbers—where one character can break matching.

Basic OCR often returns a flat text blob, which can scramble form sections and make downstream extraction unreliable. We preserve document structure and deliver validated, citation-backed JSON so you spend less time fixing data and more time using it.