AI Document Processing — Turning

AI Document Processing — Turning Messy Financial Documents Into Clean Data

The problem💯

Every financial workflow starts with a stack of messy documents, bank statements in inconsistent formats, scanned PDFs of varying quality, multi-page reports with tables that span columns, and data that comes out of OCR looking nothing like the original.

Teams spend hours manually re-typing transactions, fixing extraction errors, and double-checking numbers before they can do anything useful with the data. It's the slowest, most error-prone step in every back-office workflow.

What I built🙌

- A cloud-native document processing platform that turns these messy inputs into structured, validated, trustworthy data.

- Users upload financial documents, bank statements, invoices, scanned reports and the system handles the rest: parsing, normalization, reconciliation against statement totals, confidence scoring, and review-ready output.

- AI does the heavy extraction work, deterministic validation catches errors before they reach the user.

Outcomes🎉

- Document processing time reduced from hours to under 5 minutes

- Eliminated manual transaction re-entry from bank statements

- Auto-reconciled statement totals catch extraction errors before data is exported

- Versioned results so users can compare AI outputs and track corrections over time

- Export-ready data that drops cleanly into downstream systems

Stack🧰

FastAPI, Python, GCP, Firestore, document AI tooling, React, TypeScript.

Best fit for🔥

Fintech teams, accounting platforms, lenders, back-office automation products, and anyone building workflows where document quality is the difference between automation that works and automation that creates more cleanup work than it saves.