Financial document parsing
Extracting transactions, balances, and line items from financial documents (bank statements, P&Ls, balance sheets) into structured data. The first step of any automated credit workflow.
Parsing handles the messy reality of financial documents: hundreds of bank-specific statement layouts, scanned and digital PDFs, multi-page tables, line items in local languages. A robust parser identifies document type, extracts header data (account, period, balances), pulls each transaction or line item with date and amount, and validates totals against extracted sums. Modern parsers combine OCR, layout models, and LLMs, and report confidence scores so downstream systems can decide what needs human review.