However, since the quality of any image to structure conversion is heavily dependent both on the image quality and its content modalities, we felt that we needed to develop and use our own task oriented dataset of images to perform an independent qualitative analysis on images from various patents. We also have created two new software tools to facilitate multi-curator quality analysis of OCSR predictions -a Java based tool "ImageComparator" [13] to compare reactions and multistructure images as well as a Python based script "ExcelConstructor" that allows create Excel sheets for fast quality analysis of single molecules . Both ExcelConstructor and ImageComparator are described and available for download in the supplementary material. To convert predicted SMILES to images for manual inspection, the open access chemistry package CDK was used. Thus, the developed methods were created and designed to allow a faster manual inspection of the prediction results -they do not influence the respective quality criteria. Other interested users may take advantage of those when performing their own OCSR quality control efforts.