VATextract uses advanced OCR technology to extract structured data from any invoice format—PDF, scanned documents, or images.
| Format | Description |
|---|
| PDF | Native PDFs and scanned documents |
| JPEG/PNG | High-resolution images |
| Multi-page | Documents up to 100 pages |
| Field | Description |
|---|
invoiceNumber | Unique invoice identifier |
invoiceDate | Date the invoice was issued |
dueDate | Payment due date |
deliveryDate | Goods/services delivery date |
purchaseOrder | Purchase order reference |
Financial Data
| Field | Description |
|---|
netAmount | Pre-tax amount |
vatAmount | VAT/tax amount |
vatRate | VAT percentage |
totalAmount | Total including tax |
currency | ISO currency code (EUR, GBP, USD, etc.) |
freightAmount | Shipping/freight charges |
Supplier Details
| Field | Description |
|---|
supplierName | Company name |
supplierTaxId | VAT/Tax identification number |
supplierAddress | Full address |
supplierContact | Email, phone, IBAN, etc. |
Line Items
Each line item contains:
{
"description": "Product or service name",
"quantity": 10,
"unitPrice": 25.00,
"amount": 250.00,
"productCode": "SKU-12345"
}
OCR Providers
VATextract supports multiple OCR engines:
Default provider. Best for European invoices and complex layouts.
- Excellent multi-language support
- Strong table extraction
- High accuracy on scanned documents
Configure your preferred OCR provider in Settings → Preferences, or set the OCR_PROVIDER environment variable for self-hosted deployments.
Geometry Data
For advanced integrations, VATextractprovides bounding box coordinates for each extracted field:
{
"fieldName": "TOTAL",
"text": "$1,250.00",
"confidence": 98.5,
"geometry": {
"boundingBox": {
"left": 0.72,
"top": 0.85,
"width": 0.15,
"height": 0.02
},
"pageNumber": 1
}
}
