1. A computer-implemented method for creating an aggregate training data set corresponding to a document type, the method comprising: for each document of a document type in a set of documents: receiving input corresponding to a text sample in the document; receiving an image of the text sample in the document; for each of a plurality of candidate presentation styles: training an OCR processing engine using a training data set corresponding to the candidate presentation style; identifying text in the image of the text sample; producing OCR processing results for the document and the candidate presentation style using the OCR processing engine as trained; comparing the OCR processing results to the input corresponding to the text sample; and calculating a score for the candidate presentation style based on the comparison; ranking the candidate presentation styles based on a score calculated for each candidate presentation style; and selecting a candidate presentation style for the document based on the ranking; and creating an aggregate training data set for the document type, the aggregate training data set including the training data set corresponding to the selected candidate presentation style.