Since 2019, there has been a lot of development in the field of deep learning-based optical chemical structure recognition (OCSR) . This indicates a paradigm shift as convolutional neural networks (CNN) as encoders in combination with recurrent neural networks (RNN) or transformers as decoders replace the rule-based systems that have previously defined the standard in the field .