Based on the daily precipitation data from 20 national meteorological stations in Yimeng Mountain Area (from 1961 to 2020), nine extreme precipitation indices were selected to analyze the spatiotemporal variations of extreme precipitation with the methods of 5-year sliding average, Mann-Kendall test, cumulative anomaly, Morlet wavelet transform, Tyson polygon and Kriging interpolation. The results showed that the Rx1day, Rx5day and SDⅡ showed a increasing trend, whereas the Rr25, PRCRTOT, R95P, R99P, CDD and CWD showed a non-significant downward trend. The abrupt changes of PRCRTOT and Rr25 were similar, and their downward trend was obvious after 1980. The SDⅡ had undergone a significant abrupt change in 1998, which presented an upward trend after the abrupt change. All the extreme precipitation indices basically had the first main cycle of 20 a. In spatial distributions, except for the CDD and SDⅡ, the spatial distribution of the other 7 indices was similar, which showed a decreasing pattern from southeast to northwest. The CDD decreased from east to west, and the SDⅡ showed a trend of higher in south and lower in north. The anomalous years often occurred during 1980 to 2000, and the precipitation was typically abnormally high in 1964, 2003 and 2020. The research results can provide a theoretical and statistical support for water resources planning, disaster prevention and reduction in Yimeng Mountain Area.