The abundant R-group information available in chemical publications plays a crucial role in data-driven artificial intelligence (AI) research in the field of medicinal chemistry. In real-world publications, R-groups are expressed in various textual and graphical forms, thereby rendering their manual integration labor-intensive and inefficient. Although automated tools exist for R-group recognition, they remain underdeveloped, creating a clear requirement for precise and comprehensive automated p