EO is a template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic optimization algorithms quickly. Evolutionary algorithms form a family of algorithms inspired by the theory of evolution, and solve various problems. They evolve a set of solutions to a given problem in order to produce the best results. These are stochastic algorithms because they iteratively use random processes. The vast majority of these methods are used to solve optimization problems, and may be also called "metaheuristics". They are also ranked among computational intelligence methods, a domain close to artificial intelligence. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems, from continuous to combinatorial ones.
OCRFeeder is a document layout analysis and optical character recognition application. It is able to automatically outline a document image's contents, distinguish between graphics and text and perform OCR over the latter. It can export to several formats, its main one being ODT. OCRFeeder has a GTK+ graphical user interface that allows the user to control the application and, for example, edit and correct the automatic recognition. It can also be used from the command line for automation.