The 2MASS Photometric Redshift catalogue (2MPZ) is constructed by cross-matching 2MASS XSC, WISE and SuperCOSMOS all-sky samples and employing the artificial neural network approach (the ANNz algorithm, Collister & Lahav 2004), trained on several redshift surveys (2MRS, SDSS, 6dFGS, 2dFGRS and ZCAT). The derived photometric redshifts have errors nearly independent of distance, with an all-sky accuracy of Ïz = 0.015, and a very small percentage of outliers. These redshift estimates have a typical precision of 12% for all the 2MASS XSC galaxies that lack spectroscopy. The resulting 2MPZ sample contains almost 1 million galaxies with a median redshift of z=0.07. This catalogue is described in Bilicki et al. 2014, ApJS, 210, 9.