Project Overview
We built an intelligent document processing system that ingests invoices, contracts, and forms, extracts structured data with high accuracy, and routes it into downstream systems — replacing slow, error-prone manual entry.
The Challenge
Teams keyed data from thousands of varied documents by hand. Throughput was low, error rates were high, and exceptions piled up with no clear triage.
- High volume of varied, semi-structured documents
- Manual data entry was slow and error-prone
- Legacy OCR failed on layout variation
- No structured exception handling for low-confidence extracts
Our Strategic Approach
We combined modern OCR with a vision-language model that understands layout and context, validating every extracted field against business rules and routing uncertain cases to a review queue.
The Solution We Delivered
The platform classifies documents, extracts and validates fields, and pushes clean data to ERP and accounting systems, with a human review console for exceptions only.
- Automatic document classification and routing
- Layout-aware extraction with vision-language models
- Field-level confidence scoring and validation rules
- Exception review console for low-confidence items
- Straight-through posting to ERP and accounting systems
- Continuous learning from reviewer corrections
Technologies Used
- Vision-language model — Layout-aware understanding and extraction
- Tesseract / cloud OCR — Text recognition baseline
- Python — Extraction and validation pipeline
- PostgreSQL — Extracted data and audit storage
- FastAPI — Processing and review APIs
- React — Exception review console
Development Process
- Document survey — Catalogued document types, layouts, and target fields.
- Extraction pipeline — Built classification, extraction, and validation stages.
- Confidence & rules — Added per-field confidence and business-rule checks.
- Review console — Built an efficient queue for human exception handling.
- Integration & learning — Connected downstream systems and a correction feedback loop.
Results & Impact
The system processed documents in seconds with high straight-through rates, slashing manual workload and errors.
- Straight-through processing on 88% of documents
- Extraction accuracy above 97% on key fields
- Processing time per document cut from minutes to seconds
- Manual data-entry effort reduced by 90%
🎯 Key Takeaway
Intelligent document processing converted a manual bottleneck into a fast, accurate, auditable pipeline that scales with volume.
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