This work presents a working solution for translating hand-drawn chemical structures into SMILES representations of the depicted molecules . It was specifically trained using artificial data generated by the open-source structure depiction toolkit RanDepict with its synthetic hand-drawn feature capable of producing chemical structure representations that mimic hand-drawn chemical structure drawings . The trained model has been benchmarked against the only available diverse hand-drawn chemical structure dataset, DECIMER hand-drawn images . The approach followed here includes no hard-coded rules and is entirely data-driven. The model has been trained and tested only on openly available data sources.