← Back to Projects Document AI for Structured Field Extraction
Extract business-critical fields from PDFs and scans, then convert them into structured outputs ready for automation.
Categories
CVNLP
Tech Used
PythonOCRGCPfine-tuningOpenCVRegexspaCypandasFastAPIDocker
Problem
Organizations often handle documents with inconsistent templates, which makes manual extraction expensive and rule-only systems difficult to maintain.
Approach
- Combined OCR, layout parsing, and field-detection logic into a reusable extraction pipeline
- Applied rule-based and ML/NLP methods where each was most effective
- Produced validated JSON/CSV outputs designed for APIs, analytics, and internal tools
Results
- Flexible document extraction workflow across multiple template variants
- Reduced friction when integrating document data into downstream products