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Climatic warming in the global mean has significantly increased the probability of occurrence of heat extremes on time scales ranging from months to seasons. As extreme heat events are most likely to become intense and frequent over the next decades, thus it’s important to examine these events to mitigate its negative impacts on public health and society. This study focuses on Karachi heat extremes over the last 23 years. The power spectral analyses of Karachi heat extremes records have been carried out by considering two indices: Heat Index (HI) and Effective Temperature Index (TEE), which are also found to be significantly correlated. The result indicates a regular cyclic pattern of 4.5 years which is estimated to face a heat index of more than 73.63\(℃\), associated with the El Niño–Southern Oscillation (ENSO). Other peaks are observed at 2.8 and 2.2 years with the expected value of the Karachi heat index of 70.53\(℃\) and 68.71\(℃,\) respectively. The probabilistic approach is also used to predict the future heatwave events of Karachi. Generalized Extreme Value (GEV) distribution is found to be the best-fitted probability distribution for the extreme heatwave events on the basis of goodness of fit test. Furthermore, the estimation of the return period of the heatwave event reveals that Karachi will be facing a maximum heat index of 84.37\(℃\) or more in the coming 33 years, which suggests an urgent need for mitigation strategies in Karachi to overcome the effects of extreme heatwave events.