Converting financial reports into structured and accessible data

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Annual and quarterly reports contain essential financial information. But that information is often buried in inconsistent tables, vague labels, and messy formatting. This project automates the entire process of turning those reports into clean, usable data.

What it does:

• Finds the right sections, even when the layout and wording change from one report to the next

• Pulls out the numbers and organizes them into clear, structured tables

• Understands meaning, not just labels, so different ways of saying “available cash” get grouped together properly

• Catches mistakes early, with built-in checks that keep results accurate and reliable

Once set up, this kind of pipeline can extract data from thousands of documents at marginal cost.​