People use “OCR” and “intelligent document processing” as if they’re the same thing, but they solve different problems. Traditional OCR turns a picture of text into text you can work with. Intelligent document processing (IDP) uses OCR as just one step in a bigger process that also recognises the document, finds and labels the specific fields, checks them, and delivers clean data to your business systems. The short version: OCR reads, IDP understands.
OCR’s job is recognition. Hand it a scanned invoice and it gives you back the text in that image. That’s genuinely useful – it makes a scanned document searchable and turns a picture into editable text. But OCR output is just a flat block of text. It can tell you the document contains the number 1,240.00, but not whether that’s the invoice total, a line item, a tax figure, or a PO reference. It also has no idea what kind of document it’s looking at. For a person, that context is obvious; for plain OCR, it simply isn’t there. That’s why OCR on its own still leaves most of the work to a human. Someone has to read the text, work out which value means what, and type the right figures into the right fields of the ERP. OCR took away the retyping of characters, but not the job of understanding the document.
IDP wraps that raw reading in understanding. After OCR reads the text, IDP recognises the document, locates each meaningful field, checks the values, and maps them to your system. What you get back isn’t a block of text but a set of labelled, verified data points ready to use — vendor name, invoice number, due date, net amount, line items — each in the right place. And crucially, modern IDP copes with different layouts. Template-based capture, the older approach, needs a predefined map for each document design and breaks the moment a supplier changes their format. IDP handles new layouts of common documents without a template, because it has learned what an invoice is rather than memorising where the fields sit on one particular form.
The whole point of capture is clean data in your ERP or CRM. With OCR alone, you get searchable text but still need manual entry to fill in your systems — so the bottleneck stays. With IDP, verified, structured data flows straight into the ERP, often within seconds, and the manual step disappears for most documents. That’s exactly where the often-quoted up-to-90% drop in manual data entry comes from.
OCR by itself is fine when all you need is to make documents searchable or turn images into text, with no need to pull specific data into a system. If your goal is a searchable archive rather than data automation, OCR does the job. But the moment you need the data inside your documents to drive a process, you need IDP.To go deeper on how the full IDP process works, see the pillar guide to intelligent document processing software.
