What's the difference between document authenticity checks and data extraction?

Data extraction and document authenticity checks answer two genuinely different questions, and it's worth keeping them conceptually separate even though they're often bundled together in a single scanning product.

Data extraction answers: "what does this document say?" It's the process of reading printed text (via OCR and MRZ recognition), decoding barcodes, and reading chip data where applicable, then structuring all of that into clean, labeled fields like name, date of birth, and document number.

A data extraction process, on its own, doesn't inherently judge whether the document is genuine. It simply reports what information is present on whatever was scanned, genuine or not.

Document authenticity checks answer a different question: "is this document real, unaltered, and actually the kind of document it claims to be?" This involves a distinct set of analyses: checking physical security features (specific printing techniques, holograms, elements visible only under UV or infrared light), verifying data consistency across independently produced sources on the document (MRZ against visual zone, for instance), confirming MRZ check digits are correct, and, in more advanced systems, analyzing for signs of digital manipulation or AI-generated fabrication.

A document scanning product can, in principle, do data extraction without any meaningful authenticity checking at all, simply reading whatever text and data is present and returning it, regardless of whether the underlying document is genuine. This might be entirely adequate for low-risk internal use cases, like digitizing paperwork where document fraud isn't a realistic concern.

But for identity verification in higher-risk contexts, financial account opening, age-restricted sales, any KYC-regulated process, authenticity checking alongside extraction is generally necessary, since extracting accurate-looking data from a forged document without checking its authenticity provides essentially no fraud protection at all.

Understanding which of these a specific vendor's product actually provides, and to what depth, is a genuinely important question to ask, since "data extraction" and "document verification" or "authenticity checking" aren't interchangeable terms even though they're sometimes used loosely as if they were.

ScanDoc offers both, extracting structured data through OCR, MRZ, and barcode reading, alongside authenticity checks including cross-source data validation and document liveness detection, so businesses in higher-risk use cases get both the data they need and a meaningful layer of fraud protection, not just one or the other.