We study the problem of approximating the copula and copula density function from a sequence of
transformed moments. In particular, when frequency moments of an underlying bivariate distribution
are available, the uniform convergence of the reconstructed copula and the rate of approximation of
the copula density function are obtained. Finally, the accuracies of the approximation and estimation
are illustrated in a simulation study.