In this paper, we propose a computer-assisted transcription system of old registers, handwritten in Arabic from
the 19th century onwards, held in the National Archives of Tunisia (NAT). The proposed system assists the
human supervisor to complete the transcription task as efficiently as possible. This assistance is given at all
different recognition levels. Our system addresses different approaches for transcription of document images. It
also implements an alignment method to find mappings between word images of a handwritten document and
their respective words in its given transcription.