One question is how one should treat multiple molecular structures in one image -is it a substance where the image describes the composition of a substance or are the structures to be recognized as separate molecules? For example, MolScribe generates dot separated SMILES if it finds multiple compounds in an image. This is problematic as dot separation of chemical entities in SMILES typically represents different parts of a compound mixture if not connected via linking atom labels. Such mixtures are typical salt forms containing the cation and the anion separately. Also, looking at the resulting SMILES from MolScribe, it had generated some obviously wrong or meaningless or hallucinated results like SMILES that consist of a series of asterisks, e. Therefore, it seems advisable to include some sanity checks when using predicted chemical structures, filtering out invalid SMILES and chemical structures with hypervalent atoms or wrong isotopes. At the current stage of OCSR development, this task is left to the user of such tools. Also, a simple conclusion is that retraining of structure predictions from multiple structures on an image is definitely needed. This is a rather unfortunate finding, as in patents multi structure images are found quite often. So far the best available method for this modality remains OSRA, provided we also have applied the error filters described above.