Data Extraction

VATextract uses advanced OCR technology to extract structured data from any invoice format—PDF, scanned documents, or images.

Supported File Formats

Format	Description
PDF	Native PDFs and scanned documents
JPEG/PNG	High-resolution images
Multi-page	Documents up to 100 pages

Extracted Fields

Header Information

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",
  "vatCode": "T1"
}

VAT codes are automatically assigned based on the line item’s VAT rate and your accounting software. See VAT Codes for details.

OCR Providers

VATextract supports multiple OCR engines:

Google Document AI
AWS Textract

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.

Extraction Confidence

Each extracted field includes a confidence score (0-100%). Low-confidence extractions are highlighted in the review interface for manual verification.

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
  }
}

This enables document overlay highlighting and programmatic field location.

Getting Started

Features

Integrations

Supported File Formats

Extracted Fields

Header Information

Financial Data

Supplier Details

Line Items

OCR Providers

Extraction Confidence

Geometry Data

​Supported File Formats

​Extracted Fields

​Header Information

​Financial Data

​Supplier Details

​Line Items

​OCR Providers

​Extraction Confidence

​Geometry Data

Supported File Formats

Extracted Fields

Header Information

Financial Data

Supplier Details

Line Items

OCR Providers

Extraction Confidence

Geometry Data