Document Analysis, on the other hand, deals largely with problems such as recognizing printed/hand-written characters from a variety of documents (Graves and Schmidhuber, 2009), processing document images for document localization (Javed and Shafait, 2018), binarization (Tensmeyer and Martinez, 2017), and layout segmentation (Chen et al., 2015).
it does not focus on understanding the character-and/or wordlevel semantics of the document the same way as NLP.