In summary, our study showed that each of the methods has achieved a high recall rate of close to 100%, indicating that the methods were able to predict molecules for each or most of the chemistry containing images. However, their precision rates varied considerably, with MolScribe achieving the highest precision at 87%, followed by DECIMER at 84%, MolVec at 74%, and OSRA at 64%. The F-scores also have reflected these trends, with MolScribe having the highest F-score at 93% and SwinOCSR having the lowest at 78% (see figure ). These findings highlight the strengths and limitations of each method in accurately predicting molecules from images.