IDP vs. OCR: What's the difference - and why does it matter to SAP users?

Anyone evaluating solutions for the automated processing of incoming invoices, order confirmations or delivery notes today will quickly come across two terms: OCR and.

OCR stands for Optical Character Recognition. The technology recognises characters on an image or scanned document and converts them into machine-readable text. This is the first step, not the goal.

The result of OCR processing is a text stream without structure or context. An incoming invoice processed by classic OCR provides text blocks – but the system has no idea which of these is the invoice number, which is the total amount, and which is the supplier's address.

The obvious addition is rule-based extraction: You define where specific fields are expected on a document and read them out using a template. This works reliably – as long as suppliers always format their invoices in the same way. They don't.

IDP stands for Intelligent Document Processing. It doesn't involve a single method, but rather a different approach: documents are not just read, but their content is understood.

In concrete terms, this means machine learning models that have been trained on large volumes of diverse document formats. An IDP system recognises that a particular value is the invoice number because context, formatting, and semantic cues all point towards it – not because the value appears in a specific position. It copes with variance. And it improves with every exception it processes.

Many mid-sized companies rely on solutions that connect OCR or rule-based extraction via API to SAP. In practice, this creates three problems that only become apparent after implementation.

The first is a system break. The document is processed outside of SAP, with the result transferred via an interface. Every interface is a potential error source – and an maintenance effort that needs to be re-evaluated with every SAP update.

The second is the lack of context. When reading an invoice, an external solution does not know whether the referenced order number exists in SAP, whether the supplier is set up in the master data, or whether the cost centre is valid. These checks only occur after the handover. Thus, errors are detected later than necessary.

The third is the growing complexity. What begins as a lean solution becomes an integration issue in operation. Each additional middleware increases administration and licensing costs — and at some point, someone will ask why the system requires so much maintenance.

SAP-native IDP processing on SAP BTP solves these problems structurally. Processing takes place where the data resides. Checks against purchase orders, vendor master data, and cost centres are run during the data extraction, not afterwards. The result is more robust – not because the extraction is more perfect, but because the system operates in the correct context from the outset.

Anyone currently comparing solutions should ask themselves three questions — not as a checklist, but because the answers reveal whether a provider truly understands the SAP environment or has merely added an API to it.

Most providers answer question one with „outside“ and question three with phrasing that sounds like „manual“ without saying it. This is not a judgment, merely a guideline.