How to quickly analyze and track the R&D progress of competitors is a problem that all new drug R&D companies need to solve. After a new patent on a popular target is published, there will often be a large number of followers competing in this field. How to obtain the SAR information in patent documents in the first time to quickly conduct follow-up research is a headache for medicinal chemists. The traditional method is to crop the molecular structures in the patent into pictures one by one, insert them into the form, and then manually fill in the biological activity data into the form. The disadvantages of this approach are: (1) The cropping of the structural image and the extraction of the activity data are both heavy workloads, which usually take several hours; (2) It is impossible to perform multi-dimensional automatic data analysis on the SAR table generated by this method. Instead, it relies entirely on the manual summarization of medicinal chemists. In order to solve this problem, AlphaMa Biotech uses its unique compound structure recognition technology to create a convenient AI-assisted patent analysis tool-PatMap. With it, users can export the structure and activity data in the patent to SDF format in a short time with just a few simple mouse clicks, so as to perform multi-dimensional SAR analysis in any cheminformatics tool.