IDP vs OCR: What's the Difference?

OCR is a component, not a solution

Optical character recognition converts an image of text into machine-readable characters. It is a necessary building block and modern engines are good at it. What OCR does not do is decide what a document is, understand which number is the invoice total rather than a line amount, check that total against a purchase order, or route the result for approval.

Side-by-side

The practical differences that show up in production:

• Classification — OCR needs to be told what the document is; IDP identifies it
• Layout change — template OCR breaks when a supplier redesigns a form; IDP reads by structure and meaning
• Tables — OCR returns text runs; IDP returns line items with quantities and amounts
• Validation — OCR has no concept of a business rule; IDP checks totals, dates, identifiers and references
• Confidence — OCR reports character confidence; IDP reports field-level confidence tied to review thresholds
• Exceptions — OCR output either passes or fails silently; IDP routes exceptions to a reviewer with context

When OCR alone is still the right answer

If you process a single, stable, machine-printed form at low volume, template-based capture can be perfectly adequate and cheaper to run. The case for IDP grows with document variety, volume, language mix, handwriting, and the cost of an error reaching a downstream system.