AI invoice processing: from scan to posting

Retyping data from invoices is exactly the kind of work that tires people out without creating value. Supplier, registration number, date, line items, VAT rates — dozens of fields that can now be extracted automatically and more accurately than by hand.

What a modern flow looks like

Intelligent document processing (IDP) combines OCR with a language model. OCR turns the image into text; the model gives it structure, recognising the header, the individual lines, and mapping them to the fields the accounting system expects. The result is exported in a structured format (such as ISDOC or XML) and imported into the bookkeeping software.

• Intake of the document by email or upload.
• Extraction of the header and line items, including VAT rates.
• A suggested posting based on the supplier's history.
• Review and confirmation by the accountant.

Where the line is

AI excels at recognition and suggestions, but responsibility for correctness stays with a person. That is why we keep a checkpoint in the process: the accountant sees the proposal, discrepancies are highlighted, and the final confirmation is always theirs. The goal is not to replace the expert but to remove the mechanical part of the work and free up time for what genuinely needs judgement.

It is this pairing — machine speed and human control — that makes the saving both real and safe.