Since 2007, the American Community Survey (ACS) has employed the Integrated Computer Assisted Data Entry (iCADE) system to capture data on paper questionnaires. This system makes use of Optical Mark Recognition (OMR) technology to detect a presence (mark) in checkboxes. Clerks at the National Processing Center (NPC) currently key all write-in responses from scanned images of the paper questionnaires. The developers of the iCADE system have now introduced Optical Character Recognition (OCR) technology to interpret numeric fields. Other Census Bureau surveys using the iCADE system have incorporated OCR in the data capture of their questionnaires with enhanced efficiencies and reduced costs. It is desirable for the ACS to consider OCR technology to reduce survey costs. Prior to any shift in methods, it is critical to demonstrate that the use of OCR to capture ACS numeric write-ins would not negatively affect the quality of ACS data, including the distribution of numeric values. This evaluation will also inform 2020 decision makers on the current usability of OCR technology in the iCADE system.