Can machines truly understand documents, or have they simply become more effective at extracting information from them? With traditional OCR, an error can usually be located and measured, while a VLM may produce a convincing interpretation that is still wrong. For companies, this shifts the first decision away from model selection and toward a more uncomfortable question: what kind of error can the business afford? The boundary between recognition and understanding becomes a practical question…