Most computational workflows start with either 1D representations (SMILES) or 3D representations (.xyz or .mol files). We frequently faced challenges associated with the 1D representations. Axial and planar chirality cannot be encoded in SMILES strings and the stereochemical information is therefore lost upon the library generation. Although extensions to SMILES and other string-based representation methods have been developed to address these issues, 3D structures are naturally devoid of such limitations in encoding chirality. We believe that one of the most desirable ways to generate large libraries of 3D structures is by correctly interpreting their 2D chemical depictions.