OCR-Based Document Data Extraction System
Automated system developed to extract structured data from scanned and rasterized PDF documents
using optical character recognition (OCR). The solution processes documents with varying layouts
and identifies required fields based on embedded keywords rather than fixed templates.
The system analyzes recognized text, applies rule-based matching logic, and maps extracted values
to predefined business fields. This approach allows reliable data capture even when document
formats differ between sources.
Extracted data is automatically exported to Microsoft Excel and stored in a SQL Server database,
enabling further processing, reporting, and integration with existing enterprise workflows.
Key features
- OCR processing of scanned and rasterized PDF documents
- Keyword-based field detection without fixed document templates
- Configurable mapping of extracted data to business fields
- Export to Excel and structured storage in SQL Server
- Error-tolerant processing for low-quality scans
Technical stack
- C#/.NET
- Tesseract OCR
- PDF and image preprocessing
- Microsoft Excel export
- SQL Server integration