The study of texts using a qualitative approach remains the dominant modus operandi in humanities research (D. Nguyen et al., 2020) . While most humanities researchers emphasize the critical examination of texts, digital research methodologies are gradually being adopted as complementary options (Levenberg et al., 2018) . These computational practices allow researchers to process, aggregate and analyze large quantities of texts. Analytical techniques can help humanities scholars uncover principles and patterns that were previously hidden or identify salient sources for further qualitative research (Bod, 2013; Aiello & Simeone, 2019) . However, to support these and more advanced use cases such as Natural Language Processing (NLP), sources must be digitized and transformed into a machine-readable format through Optical Character Recognition (OCR) (Lopresti, 2009) . Despite the fact that OCR software is frequently used to convert analogue sources into digital texts, off-the-shelf OCR tools are usually less ...