Dynamic Typography is an automated text animation solution that combines the challenges of semantic conveying and dynamic motion. It utilizes vector graphics representation and an end-to-end optimization framework to transform letters into basic shapes via neural displacement fields and apply frame-by-frame motion, enhancing consistency with the intended textual concept. Through shape preservation techniques and perceptual loss regularization, it maintains readability and structural integrity throughout the animation. Our method demonstrates generalizability across various text-to-video models and highlights the superiority of our end-to-end approach, which may outperform individual task-specific methods. Through both quantitative and qualitative evaluations, we demonstrate the effectiveness of our framework in generating coherent text animations that faithfully interpret user prompts while preserving readability.