In order to reduce the encoding time of HEVC screen content coding and improve coding efficiency,this paper proposes a fast intra coding algorithm based on decision tree to achieve the impr ovement in CU partitioning and simple PU mode selection.Through the analysis of video sequence characteristics,effective features are proposed,and the decision tree model is trained,in which the variance,gradient information entropy and pixel type number are used for CU partition,and the average non-zer o gradient,pixel entropy information,etc.are used for PU mode classification.In a decision tree model,the current CU partition and the PU mo de type are quickly determined by calculating the features of the CUs of the depth.The algorithm for decision tree is used to mak e the decision to reduce the cycle process about CU depth and PU modes in intra coding,thereby achieving fast intra c oding.The experimental results show that compared with the standard algorithm of HEVC screen content coding,the proposed algorithm can reduce the coding time by 30.81% on average when the peak signal-to-noise ratio (PSNR) decreases by 0.05dB and the code rate increases by 1.15%.