It is difficult to estimate the quality of a result returned by the DECIMER Image Transformer in a real-world application without a manual assessment. Users have to re-depict the molecule represented by a predicted SMILES string and compare it to the molecule depicted in the original image. As this is a time-consuming and potentially error-prone procedure, an automated estimation of the quality of the generated SMILES string is highly desirable.