Motivation#

Financial systems often rely on documents like invoices and receipts that arrive in inconsistent formats and qualities. Many OCR solutions extract raw text but stop short of producing reliable, structured domain data that can be consumed by ERP or accounting systems.

FinDocParserPro was built to bridge this gap by combining OCR, deterministic extraction rules, and a clean, testable architecture that scales with complexity instead of collapsing under it.

Results#

The project delivers a robust document ingestion pipeline with clear separation of concerns across Domain, Application, Infrastructure, and API layers. CQRS is implemented without heavyweight dependencies, ensuring clarity and performance.

With predictable result handling via FluentResults and minimal APIs for clean endpoints, FinDocParserPro serves as a strong foundation for OCR-driven financial intelligence in production-grade systems.