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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.
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