Article’s

Creating comic strips usually requires drawing skills, creativity, and a good amount of time. Many students who have ideas for short stories are unable to convert them into visual comics because they cannot draw or design. This study explores a simple system that helps users turn written stories into comic-style panels. The system reads the user’s text, identifies the main characters, actions, and scenes, and then produces images that match the story. These images are arranged into panels, and short captions or dialogues are added based on the user’s input. The aim of the project is to make comic creation easy for beginners, students, and educators. The method focuses on understanding the user’s text clearly and generating scenes that follow a consistent order. The system was tested with short stories and dialogues. The results show that users can create small comic strips quickly without drawing anything. The comics maintained story flow and visual clarity, making them suitable for presentations, learning materials, and social media storytelling. This work shows that text-based comic generation can support creative expression and save time for users who are not skilled in artwork. Further improvements can make the system better at keeping character appearance consistent and allow more customization options for comic layouts.