The DECIMER project was developed as a deep-learning-based solution for OCSR tasks. The goal of the DECIMER project is to develop an automated system that detects, segments, and converts images from published literature into computer-readable formats, in this case, the SMILES representation. It is a fully data-driven approach, in which no assumptions are made about the underlying chemical structure. In total, the project is divided into four parts: the segmentation algorithm, the image classifier, the OCSR model, and the web application.