Generation of planar patterns from 3D shapes is required in many fields such as design of airplane wings, car bodies, shoes and textile products. Unfolding and folding processes are common methods to form a 3D shape from 2D surfaces. A 3D mesh surface is segmented in unfolding process to form 2D patches without overlapping. The patches are then used as patterns for cutting materials to fold them back into the 3D shape. A mesh surface can be very complex with a large number of triangles. It is often required to simplify meshes with some preserved geometrical details before the generation of planar patterns for unfolding. This paper reviews and evaluates existing software tools for both mesh simplification and unfolding of 3D shapes. Performance is evaluated for different simplification algorithms implemented in software tools such as Meshlab and Instant-Meshes. The optimal number of meshes is searched for the minimal error. The algorithms are evaluated based on the efficiency and accuracy of the simplified model. Hausdorff Distance measurement is used for the accuracy assessment. The study presents a comprehensive comparison of three different software tools in unfolding for generation of a set of 2D patches from 3D models. The software tools, Pepakura Designer, Blender and SketchUp, are compared in terms of functionalities and performances in the execution time, automation, number of generated 2D patches and editing tools. Case studies are conducted to illustrate the evaluation in both mesh simplifications and unfolding procedures.