In this study, we pointed out the problem of current molecular generative models. It is very likely that some unwanted compounds are contained in generated molecules. Benchmark metrics are not sufficient to prioritize and select compounds in an appropriate way from generated ones. It would be very helpful if molecules with chemically unstable or synthetically infeasible substructures are captured effectively and automatically. Although there are attempts to filter out unwanted structures, visual inspection by experts is still necessary. We implemented a web-based tool that eases molecular sanitization based on the visual inspection of experts. We will continue to develop the application reflecting the users' opinions.