Financial Statement Extraction — Turn Accounts and Amounts into Structured Data
Extract accounts and amounts from financial statements while preserving table hierarchy, subtotals, and totals.
Why it's hard
Balance sheets and income statements tangle multi-level accounts with subtotals and totals, making the tables hard to transfer as-is.
Pulling figures from PDF audit reports by hand invites errors and turns into repetitive work every quarter.
The DEEP Agent approach
DEEP Agent extracts amounts into a structured table while preserving the account hierarchy and subtotal-to-total relationships.
Results are returned as Excel or JSON, ready to use immediately for financial analysis and loading into systems.
Frequently asked questions
Is the account hierarchy preserved?
It preserves the hierarchy of major, intermediate, and detailed accounts along with subtotal-to-total relationships when structuring.
Are audit report PDFs handled too?
The Vision-LLM recognizes tables and extracts figures from both scanned and digital PDFs.
Does it recognize multi-period comparison tables?
It extracts comparison tables split into yearly and quarterly columns while preserving the column relationships.
How is accuracy ensured?
With #1 performance on OCRBench v2 (English), it maintains high accuracy even on complex tables.
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