As part of its mission to provide editors with the best available tools to establish the trustworthiness of submissions, Elsevier has been actively seeking image-checking software for several years. Some potential tools have now emerged, which can detect duplication and manipulation in several image types. If you are interested in piloting image checking software, please reach out to your publishing contact. When applying such tools, human oversight is essential to contextualise potential issues flagged in automated software, and discount false positives. We recommend using a combination of approaches to maximise the chances of detecting manipulated images i.e., reduce false negatives.