A group from the National Center for Supercomputing Applications (NCSA) is using XSEDE-allocated resources to extract meaning from cursive script. Scanned PDF images, the low-cost, high-speed method for digitizing images, can be duplicated and stored in many places. But you can't find anything in them, except by a human being searching through the handwritten text by eye. This team from NCSA is working to create a framework for automatically extracting the meaning from these images—in essence, teaching machines to read cursive script. The project employed XSEDE-allocated Steele supercomputer at Purdue University along with Ember at NCSA to do much of their initial data processing; then turning to XSEDE-allocated Blacklight supercomputer at the Pittsburgh Supercomputing Center's (PSC's) for its large shared memory to enable their search system to enter alpha testing. To read further, please visit https://www.xsede.org/breaking-out-of-the-digital-graveyard.