nextAI - Line Recognition

nextAI - Line Recognition supports the automatic processing of invoice lines within AP Automation.

Where nextAI - Header Recognition focuses on the header data of an invoice, line recognition is responsible for recognising, interpreting and structuring the individual invoice lines.
With nextAI - Line Recognition, lines such as items, descriptions, quantities, prices and costs are automatically recognised and processed. This increases invoice automation and results in fewer manual actions, while an additional check is already applied.

When do you use it?

Line recognition is applied when processing invoices where detailed information at line level is important.

Typical situations:

• Processing invoices with multiple lines (for example purchase orders or expense invoices)
• Automatic coding of invoice lines
• Processing invoices with multiple VAT rates
• Invoices with additional costs such as transport, packaging or surcharges
• Situations where insight into cost distribution per line is required

How does it work?

Step 1: Submit invoice
A PDF invoice is processed within AP Automation. nextAI analyses the document and recognises both header and line data.

Step 2: Perform line recognition
nextAI identifies, in addition to the invoice header data, the individual invoice lines and recognises, among other things:

• Line descriptions
• Item numbers
• Quantities 
• Prices
• VAT percentages
• Additional costs
• References such as order numbers

Step 3: Structuring and coding
The recognised lines are automatically converted into structured data and linked to the correct fields in AP Automation. This supports automatic matching and further processing.

Step 4: Check and refine
The recognised lines can be checked and adjusted if necessary. Via the 'Feedback' button and prompts, the recognition can be further improved for future invoices.

Practical tips

• Use your own prompts to improve specific line structures or exceptions
• Check new or unusual invoice layouts extra carefully during initial processing
• Apply line recognition in combination with header recognition for maximum automation

Common mistakes

• Expecting all line structures to be fully automatically recognised immediately without checking
• Incomplete invoices or incomplete orders for matching invoices with orders. For example, item number not on the order, or missing information on the invoice to correctly match the order to the invoice without making assumptions.
• Not using own prompts for recurring deviations

Frequently asked questions

What is the difference between header recognition and line recognition?
Header recognition focuses on general invoice data such as invoice number and supplier. Line recognition processes the detailed lines of the invoice.

Is line recognition always fully automatic?
Line recognition automates the majority of the process, but checking and any corrections remain important in exceptions.

Can line recognition be customised?
Yes, via prompts and feedback the recognition can be refined and tailored to specific suppliers or invoice types.