Here, we introduce an improved version of the DECIMER model designed to recognise hand-drawn chemical structures. The model's architecture is illustrated in Figure . The final model consists of an EfficientNetV2-M encoder combined with a Transformer Decoder, specifically utilising only the decoder component of the transformer. The encoder processes the chemical structure images to generate a 2-dimensional feature vector, while the decoder then converts this feature vector into a SMILES string.