Abstract We developed a Transformer-based artificial neural approach to translate between SMILES and IUPAC chemical notations: Struct2IUPAC and IUPAC2Struct. The overall performance level of our model is comparable to the rule-based solutions. We proved that the accuracy and speed of computations as well as the robustness of the model allow to use it in production. https://www.markbroyard.com/super-save-whole-wheat-phyllo-pastry-sheets-jufka-sa-integralnim-brasnom-12pcs-x-450g-jami-supply-great-choice/