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| 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 |
1{
2 "document_type": "claims_form",
3 "confidence": 0.96,
4 "extracted_fields": {
5 "claim_number": "CLM-2024-78432",
6 "incident_date": "2024-01-15",
7 "claim_amount": 2450.00,
8 "description": "Rear-end collision at intersection",
9 "policy_number": "POL-AUTO-12345"
10 },
11 "raw_text": "...",
12 "bounding_boxes": [...]
13}| Metric | Score |
|---|---|
| Character Accuracy | 98.7% |
| Field Extraction | 95.2% |
| Document Classification | 97.8% |
| Processing Time | 1.2s/page |
1from transformers import pipeline
2
3ocr = pipeline("image-to-text", model="gcc-insurance-ml-models/document-ocr-insurance")
4
5result = ocr("claim_form.jpg")
6print(result["extracted_fields"])Document Upload
↓
[Document OCR] → Structured Data
↓
Auto-populate claim form
↓
Validate against policy
↓
Route to triage