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Instant, Accurate Invoice Extraction

Process invoices in multiple currencies and languages with layout-aware OCR that reads line-item tables, at 93% line-item accuracy in our 2026 benchmark.

Book an Invoice OCR Demo

Field Reference

Our invoice OCR extracts all essential data fields with exceptional accuracy

HHeader Fields

invoice_number
Unique invoice identifier
vendor
Vendor name and details
issue_date
Date invoice was issued
due_date
Payment due date
currency
Invoice currency
po_number
Purchase order reference
tax_id
Vendor tax identification
payment_terms
Payment terms and conditions
bill_to
Billing address details
ship_to
Shipping address details

LLine-Item Fields

sku
Product/service identifier
description
Item description
qty
Quantity ordered
unit_price
Price per unit
tax
Tax amount or rate
discount
Discount amount or rate
total_line
Total for line item
unit
Unit of measure
item_code
Internal item reference
hsn_code
Harmonized System Code

Accuracy Benchmarks

Invoice line-item extraction, measured against hand-labeled ground truth in our 2026 benchmark

DocsAPI
93%
LlamaParse
87%
Docling
81%

Line items are the hard part of an invoice: header fields like the invoice number sit in one place, but a table that wraps across lines or pages is where most engines slip. These figures come from the 2026 OCR accuracy benchmark, which tested the same documents on every engine. When DocsAPI is unsure about a field, it flags it for review instead of guessing.

How It Works

Our invoice processing workflow is designed for speed, accuracy, and reliability

1

Document Upload / API

Upload invoices via our portal or send them directly through our API for processing.

2

Template Auto-Detect

Our AI recognizes the document as an invoice and reads its layout, at about 1.1 seconds per page in our benchmark.

3

OCR + Table Parsing

Advanced OCR extracts all text while our table detection algorithm captures line items with precision.

4

Validation Rules

Automatic verification of tax calculations, totals, and other fields to ensure data integrity.

What Changes When Invoices Are Automated

Your exact savings depend on volume and how your team works today, so here is what we can measure

Processing Time

Before:Keyed by hand
After:About 1.1 s per page
Measured in our 2026 benchmark

Unclear Fields

Before:Found after payment
After:Flagged before payment
Low-confidence fields go to review

AP Cost per Invoice

Before:Your loaded cost
After:From $0.02 per page
Volume discounts above 100K pages a month

Developer Output Example

Clean, structured JSON output ready for integration with your financial systems

invoice-extraction-response.json
{
  "invoice_number": "INV-2023-0042",
  "vendor": "Acme Supplies Ltd",
  "issue_date": "2023-05-18",
  "due_date": "2023-06-17",
  "currency": "INR",
  "line_items": [
    {
      "sku": "OS-123",
      "description": "Office Supplies",
      "qty": 5,
      "unit_price": 120.00,
      "tax": 18,
      "total_line": 708.00
    }
  ],
  "subtotal": 1800.00,
  "total_tax": 324.00,
  "total_amount": 2124.00
}
Ask for the full API reference in a demo →

Customer Experience Note

Suppliers feel the difference too. When invoices are captured as they arrive, your team can answer "where is my payment?" from the system instead of digging through an inbox, and fewer invoices sit unread until someone chases them. Your AP team spends less time on status questions and more on the supplier relationships that matter.

1.1 s
Per page, so invoices are captured as they arrive
Flagged
Unclear fields are reviewed before payment

Frequently Asked Questions

Common questions about our invoice OCR solution

Yes, our invoice OCR system fully supports multi-currency invoices. It automatically detects the currency from the invoice and processes the amounts accordingly. Common currencies such as USD, EUR, GBP, JPY and INR are recognized. All currency symbols and formatting conventions are recognized, and the extracted amounts are normalized for consistent processing.

Our system employs a multi-layered approach to detect duplicate invoices. First, it checks for exact matches on invoice number and vendor combinations. Second, it uses fuzzy matching algorithms to identify near-duplicates with slight variations in formatting or data entry. Finally, it compares line items, totals, and dates to catch sophisticated duplicates. When a potential duplicate is detected, the system flags it for review with a confidence score and comparison data to help AP teams make informed decisions.

Our system can process PDFs containing multiple invoices in two ways. First, it can automatically detect page boundaries between different invoices in a single PDF and process each as a separate document. Second, for complex cases where invoices span multiple pages or have irregular boundaries, our intelligent document splitting feature identifies where one invoice ends and another begins based on header patterns, totals, and other structural elements. Each detected invoice is then processed individually with its own extraction results.

Start extracting invoices today.

Bring a few of your own invoices to a demo and see exactly what comes back. Qualified lenders can then try DocsAPI free for 30 days.

Book a Demo With Your Invoices