Optimizing the pharmacokinetic properties of active compounds is an ever-lasting challenge in drug discovery, and cocrystallization is an attractive strategy to address this issue. However, identifying suitable co-crystallization partners for active compounds is both resource-and time-intensive. To accelerate this process, we developed DeepCocrystal, a deep chemical language processing approach designed to predict the co-crystallization of any selected molecular pairs.