Graphic correlation is a well-known biostratigraphical method that has been widely used for more than 40 years. During the 1980s, Kenneth Hood developed the program GraphCor, which was designed to run graphic correlation projects. However, the software was developed using DOS and it is no longer compatible with modern operating systems. To solve this issue, we developed rGraphCor, an open-source, free, and user-friendly application built within the R-for-computing environment and enhanced with the package Shiny, ensuring compatibility with Linux, macOS, and Windows operating systems. rGraphCor can use information from diverse sources including cores, ditch-cuttings, and outcrops to perform graphic correlation. The interactive nature of rGraphCor allows real-time updates, providing immediate feedback on correlation results. Additional R functions assist users in formatting their data, optimizing the analysis, and reducing errors. To demonstrate rGraphCor's capabilities, we generated a randomized simulation of fossil data, representing hypothetical species across four sites with varying sampling patterns. This simulation showed the flexibility in handling diverse data sets and the robustness of its correlation capabilities. rGraphCor is available for public use, promoting transparency and collaboration in the biostratigraphic community.