NLP Document Processing Platform
Intelligent document understanding with OCR, entity extraction, and automated classification.
Duration
8 months
Team Size
5 developers
Industry
Enterprise
Category
AI/ML
NLP Document Processing Platform
An intelligent document processing system that automates the extraction, classification, and routing of information from unstructured documents.
The Challenge
An insurance company drowned in paper:
- Manual data entry - Staff typing info from documents
- Processing delays - Claims taking days to enter
- Error prone - Transcription mistakes causing issues
- Scaling problems - Volume growing faster than staff
They needed automated document intelligence.
Our Approach
We built an end-to-end IDP platform combining OCR with modern LLMs.
Processing Pipeline
- Ingestion - Multi-format document intake
- OCR - High-accuracy text extraction
- Classification - Document type identification
- Extraction - Entity and field extraction
- Validation - Confidence scoring and human review
The Solution
Document Ingestion
- PDF, TIFF, JPG, email support
- Batch and real-time processing
- Scanner integration
- Cloud storage connectors
OCR Processing
- Multi-engine OCR
- Handwriting recognition
- Table extraction
- Layout preservation
AI Understanding
- Document classification
- Named entity recognition
- Field extraction
- Summary generation
Human Review
- Low-confidence flagging
- Correction interface
- Feedback loop to models
- Audit trail
Technology Stack
| Layer | Technologies |
|---|---|
| OCR | Tesseract, Google Vision |
| NLP | GPT-4, LangChain, spaCy |
| Backend | Python, FastAPI |
| Database | PostgreSQL, Elasticsearch |
| Queue | Redis, Celery |
| Frontend | React, TypeScript |
Results & Impact
The platform transformed document operations:
- 90% less manual work for data entry
- 98% accuracy in field extraction
- 100K+ documents processed monthly
- 5 minutes from scan to system entry
Document Types
Insurance Documents
- Claims forms
- Medical records
- Policy documents
- Correspondence
Extraction Fields
- Claimant information
- Policy numbers
- Dates and amounts
- Medical codes
Client Testimonial
"We eliminated our document backlog in weeks. Staff now handle exceptions instead of typing, and claims process in hours instead of days."
— VP of Operations, Insurance Company
Automating document processing? Contact us to discuss IDP solutions.
Key Results
90% reduction in manual processing
98% extraction accuracy
100,000+ documents processed monthly
5 minute average processing time
Technology Stack
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