This thesis researches the impact of subtitle simplification on comprehension and audience satisfaction across two different target groups of Easy Language. It compares three subtitle simplification approaches: Manual simplification, limited simplification with the Passage system, and ChatGPT-based simplifications. It assesses the feasibility of Easy Language for subtitles and the levels of comprehension by the language group. The study begins with an in-depth analysis of Easy Language in German and establishes customized guidelines for future simplification efforts. Utilizing the Passage project's curated corpus, three text extracts are simplified using manual methods, the Passage tool, and ChatGPT. These simplified versions were then evaluated by both target audiences and industry experts. This thesis found that adapting subtitles into Easy Language is feasible and particularly effective for individuals with Alzheimer’s. Manual simplification proved to be the most efficient method, however ChatGPT was also well suited for the simplification in most cases. All the methods require finetuning to address specific audience needs.