  The development of Information Technology has been increasingly changing the
means of information exchange leading to the need of digitizing print
documents. In the present era, there is a lot of fraud that often occur. To
avoid account fraud there was verification using ID card extraction using OCR
and NLP. Optical Character Recognition (OCR) is technology that used to
generate text from image. With OCR we can extract Indonesian ID card or kartu
tanda penduduk (KTP) into text too. This is using to make easier service
operator to do data entry. To improve the accuracy we made text correction
using Natural language Processing (NLP) method to fixing the text. With 50
Indonesian ID card image we got 0.78 F-score, and we need 4510 milliseconds to
extract per ID card.
