Open Educational Resources (OER) are freely accessible educational materials that promote global learning, with images being one of the most commonly used types of resources. The “convOERter” tool automates the conversion of educational materials containing images, such as text and presentation documents, into OER format. It replaces copyrighted images with CC-licensed alternatives. However, finding exact image matches can be challenging, especially when specific images such as scientific diagrams, and historical illustrations are required. To address this limitation, generative AI is incorporated into “convOERter”, allowing educators to create custom images tailored to their specific needs. This paper examines the integration of generative AI into “convOERter”, focusing on model selection, licensing considerations, integration challenges, and potential research directions. Addressing these issues aims to empower educators to produce innovative, high-quality OER materials, fostering inclusivity and effectiveness in education.