Architectural models have always played an important role in computer graphics, virtual environments, and urban planning; due to the size, detail and complexity of such models. Creating detailed and realistic buildings needs time and extensive coding as well as significant domain expertise. Observing the content creation problem and the challenges of procedural modeling, we identified and developed a generalized proceduralization framework, that converts existing 3D urban models into an easy to manipulate procedural form. Our proceduralization framework for urban spaces allows re-use of existing models in various formats by first conducting shape processing methods to find and exploit the repetitions and similarities to reveal the hidden high-level structural information, and then by using grammar discovery methods on those components to extract a representative grammar of the model. Additionally, we have proposed applications of such procedural representations, including completion of point cloud models and structure-aware synthesis tools for procedural editing.