Imagine searching through historical documents like never before! The PERO project aims to create tools to improve accessibility of digitized historic documents  based on methods of machine learning (neural networks), computer vision and language modelling. These tools, based on state of the art methods from computer vision, machine learning and language modeling, will enable existing digital archives and libraries to provide full-text search and content extraction for low quality historic printed and all hand written documents - which can not be automatically processed by the currently available tools.