In this article we describe an optical recognition system for historic lute tablature prints that we have built with the aid of the Gamera toolkit for document analysis and recognition. We give recognition rates for various historic sources and show that our system works quite well on printed tablature sources using movable types. For engraved and manuscript sources, we discuss some principal current limitations of our system and Gamera.