AI & Automation

OCR & Intelligent Document Recognition

Classic OCR reads characters. Our solution understands documents: we combine proven text recognition with our own AI layer that maps fields, validates values and automatically keeps training with every correction your staff make. The result: recognition rates that rise over time instead of stagnating — and data that lands directly in Business Central or your DMS.

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OCR & document recognition at a glance

Many companies have tried OCR before — and were disappointed. Standard software does well on clean invoices from large suppliers but fails on skewed scans, handwritten notes, multi-page delivery notes or the supplier who changes their layout every quarter. In the end, accounting is back to typing.

Our approach targets exactly that: actual text recognition is followed by an AI layer that understands context — which figure is the gross amount, which line belongs to which order, does the VAT ID match the vendor? Every manual correction flows back as a training example. The model learns your suppliers, your document types and your special cases automatically — without anyone maintaining templates.

Processing is GDPR-compliant in the EU or, on request, entirely within your own infrastructure. Uncertain recognitions are not silently accepted but presented for review — with the source location highlighted in the document. This raises the straight-through processing rate step by step without compromising data quality.

OCR & document recognition: what we deliver

Text recognition for invoices, delivery notes, orders, forms
Own AI layer for field mapping and plausibility checks
Automated retraining from every correction
Confidence scores + review dialog instead of blind acceptance
Direct hand-off to Business Central, DMS or email workflows
Processing in the EU or on-premises
Use cases

OCR & document recognition in practice

// 01

Incoming invoices

Header and line data are recognised, matched against purchase order and goods receipt and prepared as a purchase invoice in Business Central.

// 02

Delivery notes & packing lists

Even multi-page, stamped or handwritten-annotated delivery notes are read reliably and assigned to the goods receipt.

// 03

Forms & applications

Structured capture of forms — from order forms to customer applications — including completeness checks.

How we proceed

OCR & document recognition: step by step

1

Sample: you send us 50–100 typical documents

2

Measurement of the recognition rate on your real documents

3

Pilot operation with review dialog and retraining

4

Production with a steadily rising automation rate

FAQ

OCR & document recognition: frequently asked questions

Still have open questions? We're happy to clarify them in an initial call.

How high is the recognition rate?
It depends on your documents — which is why we measure it up front on a sample of your real documents instead of promising brochure figures. What matters: thanks to automated retraining, the rate rises continuously during operation, especially for recurring suppliers.
Do we have to maintain templates for every supplier?
No. The AI learns layouts from the corrections in the review dialog. New suppliers are recognised reliably after a few documents — without template maintenance by your IT.
Do our documents leave Germany or the EU?
No. Processing takes place on EU servers or — if you prefer — entirely within your own infrastructure. Training data is not shared with other customers.
Does this also work with e-invoices (XRechnung, ZUGFeRD)?
Yes. Structured e-invoices are read directly, without any OCR. Text recognition handles everything that still arrives as PDF, scan or paper — both routes end up in the same review and posting process.

Let's talk about your project.

Free initial consultation, 30–45 minutes, remote. An honest assessment — even if the answer is that you don't actually need it.