What Data DocuNero Extracts

DocuNero uses a combination of advanced OCR (Google Vision) and AI extraction to automatically identify, interpret, and structure key financial data from invoices, receipts, and other transaction documents. This page provides a complete overview of the fields DocuNero can extract today—and what is coming soon.

AI-Powered Extraction

DocuNero combines Google Vision OCR with proprietary AI to extract structured data from unstructured documents—turning messy paperwork into clean, actionable data.

1. Core Fields Extracted From Most Documents

Regardless of whether you're uploading an invoice or a receipt, DocuNero extracts a common set of financial and contextual fields:

General Document Information

  • Document Type: Invoice, Receipt, Bill, etc.
  • Vendor / Merchant Name
  • Vendor Address (if present)
  • Vendor ABN / GST Number (if detectable)
  • Invoice Number or Receipt Number
  • Categoty (auto-detected whenever possible)

Dates

  • Invoice Date
  • Receipt Date

Financial Totals

  • Subtotal
  • Tax Amount
  • Tax Rate (if visible)
  • Total Amount
  • Currency (auto-detected whenever possible)

Payment Information

  • Payment Method: Cash, Card, EFTPOS, Credit, etc.

2. Invoice-Specific Fields

DocuNero extracts a focused set of core invoice fields designed to give you clean, reliable financial data without unnecessary noise.

Invoice Data We Extract

  • Vendor Name — The business or supplier issuing the invoice
  • Invoice Number — When available, extracted from the header or reference block
  • Invoice Date — The date the invoice was issued
  • Total Amount — The full charge including taxes
  • Tax Amount — GST / VAT / Sales Tax where identifiable
  • Currency — Auto-detected from symbols or text (e.g., AUD, USD)
  • Payment Method — When present (Card, Cash, EFT, etc.)
  • Category — Auto-detected, but fully editable
  • Record Type — Marked as invoice for filtering and exports

These fields allow DocuNero to reliably structure the essential invoice data needed for bookkeeping, reconciliation, and reporting.

3. Receipt-Specific Fields

Receipts typically contain fewer structured elements than invoices, but DocuNero extracts the same set of core fields whenever available.

Receipt Data We Extract

  • Vendor / Merchant Name — Store name printed at the top
  • Receipt Number — When available, extracted from the header or reference block
  • Transaction Date — The primary date of purchase
  • Total Amount — Final paid amount
  • Tax Amount — GST or VAT if printed
  • Currency — Auto-detected when possible
  • Payment Method — Cash, EFTPOS, Card, or other printed method
  • Category — Auto-detected (editable by user)
  • Record Type — Marked as receipt for classification

4. Line Item Extraction

For invoices—and many structured receipts—DocuNero extracts detailed line items.

Each Line Item Includes:

  • Description of item or service
  • Quantity
  • Unit Price
  • Total Price
  • Tax Amount (if per-line)
  • Tax Rate

Line Item Formats Supported (Some features may not be available or coming soon)

  • Single-column item descriptions
  • Multi-column invoice tables
  • Subtotals with nested tax rows
  • Multi-page invoices with line item continuation

5. What DocuNero Does Not Extract Yet

We're transparent about our roadmap. These fields are not yet fully supported but are coming soon:

Coming Soon

  • • Bank statement transaction extraction
  • • Signatures
  • • Stamps & seals
  • • Barcode/QR invoice reference decoding
  • • Expense categorization (AI-powered)
  • • Header + footer additional notes extraction (full support)

6. Accuracy Notes

Extraction quality depends on document clarity, layout, and scanning method.

Highly Accurate For:

  • Digital PDFs
  • Flatbed-scanned invoices
  • Printed invoices with tables
  • Retail POS receipts

Less Accurate When:

  • Photos are blurry or low resolution
  • Receipts are crumpled or faded
  • Shadows cover key fields
  • Handwritten text is present

You can manually correct fields during the Review step, and DocuNero continuously improves based on these edits.

7. Summary Table of Extracted Fields

CategoryExtracted Fields
Document InfoVendor, invoice/receipt number, document type
DatesInvoice date or transaction date
FinancialsSubtotal, tax, tax rate, total, currency
PaymentPayment method, card type
Line ItemsDescription, qty, unit price, total, tax

8. Who Benefits Most from Data Extraction?

DocuNero's structured output is ideal for:

Professional Services

  • Bookkeepers & accountants
  • Small business owners
  • Agencies managing multiple clients

Business Applications

  • Finance teams with monthly document loads
  • Anyone replacing manual data entry

Time Savings

Businesses save 5-10 hours per week by automating data extraction from invoices and receipts. DocuNero turns messy documents into clean, structured data—fast and accurately.

Frequently Asked Questions

What types of documents can DocuNero process?

DocuNero can process invoices, receipts, bills, purchase orders, and other financial documents.

How accurate is the data extraction?

Our AI achieves over 95% accuracy on well-formatted documents, with continuous learning to improve results.

Can I customize which fields are extracted?

Currently, we extract standard fields automatically. Custom field extraction is planned for future releases.