Structural elements made of wood have many advantages and nowadays are becoming more popular due to their ecological nature, as evidenced, for example, by recent high-rise construction projects. The development of modern wooden structures is forcing designers and researchers to look for new solutions. New technologies, such as laminated timber and cross-laminated timber, are currently undergoing many analyses, such as verification of fire resistance, physical properties, mechanical properties, acoustics, life cycle assessment or modeling approaches to estimate flexural strength and damage mechanisms [1]. It is worth noting that digital image correlation (DIC) can be used during the study of wood, which, in combination with numerical modeling, allows for a more accurate analysis of the behavior of the structure or its elements [2]. The present paper shows the effect of calibrating a nonlinear material model which was based on Hill's anisotropic plasticity potential. The purpose of this paper is to determine the extent to which the model is suitable for simulating simple experimental tests. Experimental compression tests were conducted on wooden specimens at three different angles to the fiber direction. Data from the experiments were collected in parallel by: reading the force and displacement of the machine head; determining displacements on the surface of the specimen using digital image correlation. For comparison with numerical models, both displacement fields and force-displacement curves were averaged for individual samples using original codes written in Python. Funding: Research was funded by the Warsaw University of Technology within the Excellence Initiative: Research University (IDUB) programme. [1] C. Vida, M. Lukacevic, J. Eberhardsteiner and J. Füssl, Modeling approach to estimate the bending strength and failure mechanisms of glued laminated timber beams, Eng. Struct., 255:113862, 2022. [2] C. Timbolmas, F. J. Rescalvo, M. Portela and R. Bravo, Analysis of poplar timber finger joints by means of Digital Image Correlation (DIC) and finite element simulation subjected to tension loading, Eur. J. Wood Wood Prod., 80(3):555–567, 2022.