In this paper, we present "Comprehensify," a Chrome extension designed to enhance learning by providing personalized content summarization using large language models (LLMs). By analyzing user knowledge levels across different topics and reading web page content, Comprehensify generates summaries tailored to the user's comprehension level. We integrate various models, including GPT-4o, GPT-4o-mini, LLaMA 3, and Claude 3, and implement a client-side cache as well as a server-side cache to optimize performance. Additionally, user authentication is employed to ensure personalized experiences. Our evaluation shows promising results in providing effective learning aids, with potential future enhancements to further improve the system's functionality.