Marker-based optical motion capture systems, in short mocap, are an ultimate precision tool to capture motion of objects and bodies. However, the raw output of these systems are unordered sparse point clouds that have to be brought into correspondence with physical markers on the surface. SOMA is a machine learning-based tool that automates this process, replacing the human expert in the loop, thus enabling rapid production of high quality data with applications in computer graphics and computer vision.