histograph treats large multimedia collections as networks and provides tools for their exploration and annotation. The underlying assumption is simple: if two documents mention for example the same person, place or institution, we assume that they may have something to do with each other and store this relation in a graph database. The application consists of a graph visualization module, a recommender system for related objects, various search and filter functions, automated and crowd-based annotation and disambiguation of named entities and their enrichment with third-party identifiers such as DBpedia and VIAF. histograph remains in active development and we are open to explore new use cases.