We present a program tool, SimClust, designed for Monte-Carlo modeling of star clusters. It populates the available stellar isochrones with stars according to the initial mass function and distributes stars randomly following the analytical surface n
umber density profile. The tool is aimed at simulating realistic images of extragalactic star clusters and can be used to: (i) optimize object detection algorithms, (ii) perform artificial cluster tests for the analysis of star cluster surveys, and (iii) assess the stochastic effects introduced into photometric and structural parameters of clusters due to random distribution of luminous stars and non-uniform interstellar extinction. By applying SimClust, we have demonstrated a significant influence of stochastic effects on the determined photometric and structural parameters of low-mass star clusters in the M31 galaxy disk. The source code and examples are available at the SimClust website: http://www.astro.ff.vu.lt/software/simclust/
