The robustness of MolNexTR against diverse imagery styles has significant implications for real-world applications in chemical engineering. In practical scenarios such as analyzing molecules from chemical literature or research publications, the drawing styles and conventions can vary widely due to different authors' preferences or artistic flair. MolNexTR's ability to handle this diversity ensures that it can accurately recognize and interpret molecular structures regardless of the style they are presented in. This robustness is crucial for tasks like converting complex molecular images into machine-understandable formats like SMILES strings or graph structures efficiently and accurately. With this capability, MolNexTR can be applied in various areas of chemical engineering where accurate interpretation of molecular structures is essential, such as drug discovery, materials science, or environmental analysis.