Abstract: Disclosed herein are system, method, and computer program product embodiments for categorizing sequences of text extracted from documents using natural language processing. In some embodiments, a categorization system may receive a first document file in a machine readable format. The categorization system may analyze a sequence of text from the first document file and identify a numeric text string in the sequence. The categorization system may also identify text data in the sequence matching text data from a second document file. The categorization system may remove the numeric text string and the matching data from the sequence to generate a trimmed version of the sequence. The categorization system may then apply a vectorization model to the trimmed version of the sequence as well as a trained deep learning model to the vector version to identify a corresponding category for the sequence of text.