DECIMER.ai, an open-source platform for the identification, segmentation and recognition of chemical structure depictions in the scientific literature, seeks to address this shortcoming. The system combines DECIMER Segmentation, a toolkit based on Mask R-CNN for the detection and segmentation of chemical structures in the scientific literature , DECIMER Image Classifier for the identification of images containing a chemical structure, and DECIMER Image Transformer as an OCSR engine, which converts a chemical structure depiction into a machine-readable format. DECIMER algorithms do not inherit any hand-picked rules but instead rely solely on the training data to predict accurate results without making any further hard-coded assumptions.