Abstract: A document classification system and method for classifying documents includes providing a set of electronic documents to be classified. The documents may be compared to templates of known documents, run through a neural network that is trained to determine common features within a classification, or analyzed as a vector to similar vectors of classified documents to determine appropriate classification. The classification may include parameters defined to extract data from the document, such as anchor objects that define a location relative to the anchor where known data may be extracted. The extracted data may be associated with the classified document.