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README.md

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+---
+license: apache-2.0
+tags:
+  - insurance
+  - ocr
+  - document-understanding
+  - claims
+  - lemonade-style
+pipeline_tag: image-to-text
+---
+
+# 📄 Insurance Document OCR
+
+**Extract structured data from insurance documents**
+
+## Model Description
+
+Specialized OCR model for extracting information from insurance-related documents including claims forms, policy documents, ID cards, and damage photos.
+
+## Supported Documents
+
+| Document Type | Fields Extracted |
+|---------------|------------------|
+| Claims Form | Claim #, Date, Amount, Description |
+| Policy Document | Policy #, Coverage, Limits, Deductible |
+| Driver's License | Name, DOB, License #, Address |
+| Vehicle Registration | VIN, Make, Model, Year, Plate |
+| Medical Bills | Provider, Date, Charges, Diagnosis |
+| Repair Estimates | Shop, Parts, Labor, Total |
+| Police Reports | Report #, Date, Officers, Description |
+
+## Output Format
+
+```json
+{
+  "document_type": "claims_form",
+  "confidence": 0.96,
+  "extracted_fields": {
+    "claim_number": "CLM-2024-78432",
+    "incident_date": "2024-01-15",
+    "claim_amount": 2450.00,
+    "description": "Rear-end collision at intersection",
+    "policy_number": "POL-AUTO-12345"
+  },
+  "raw_text": "...",
+  "bounding_boxes": [...]
+}
+```
+
+## Performance
+
+| Metric | Score |
+|--------|-------|
+| Character Accuracy | 98.7% |
+| Field Extraction | 95.2% |
+| Document Classification | 97.8% |
+| Processing Time | 1.2s/page |
+
+## Usage
+
+```python
+from transformers import pipeline
+
+ocr = pipeline("image-to-text", model="gcc-insurance-ml-models/document-ocr-insurance")
+
+result = ocr("claim_form.jpg")
+print(result["extracted_fields"])
+```
+
+## Integration
+
+```
+Document Upload
+     ↓
+[Document OCR] → Structured Data
+     ↓
+Auto-populate claim form
+     ↓
+Validate against policy
+     ↓
+Route to triage
+```
+
+## License
+
+Apache 2.0