The research showcases the outcomes achieved by merging point clouds produced through a terrestrial laser scanner and their use in virtual reality for the visualization and detection of damage in historic buildings. The objectives are: 1) The systematization of a workflow to visualize in real time different types of damage using an interactive model. 2) The post-processing of the information collected in the diagnostic phase, allowing to classify these damages, alternating their visualization in the digital twin for easy analysis. 3) The generation of different damage categories that can be incorporated in the same digital model, being able to isolate or link one to another. The methodology has been carried out by means of a case study, after scanning a medieval Templar church. Different approaches have been evaluated using point clouds, three-dimensional meshes and 360º panoramic images. The information obtained from infrared, thermographic images or manually prepared maps has been incorporated into the digital model. Finally, in order to be able to use the digital models in mobile devices with lower computing power, we have explored different approaches for the reduction of the resolution of the digital models. The combination of point clouds and polygonal meshes have proved to be very efficient for real-time rendering if we want to work with low resolution models that maintain a high level of detail.