Abstract: The rapid advancement of artificial intelligence has enabled automation in creative domains such as
animation and visual storytelling. Traditional animation tools require extensive technical expertise, time, and manual effort for modeling, rigging, and motion design. This paper presents Express Animate, an AI -powered system that automatically converts written textual content into fully animated videos. The proposed system utilizes Natural Language Processing (NLP) to extract characters, actions, and scene information from text, Text -to-Speech (TTS) for realistic audio narration, and AI-based motion generation models to produce synchronized facial and body animations. Backgrounds and environments are generated automatically based on contextual understanding of the input text. The system integrates multiple AI components into a unified pipeline, enabling users with minimal technical knowledge to create high-quality animated content. Experimental evaluation demonstrates that the platform efficiently produces visually coherent animations with reduced production time and cost. The proposed approach contributes toward democratizing animation creation and supports applications in education, storytelling, marketing, and digital entertainment.
Keywords: Artificial Intelligence, Text-to-Animation, NLP, Text-to-Speech, Motion Generation, Video Rendering.
Downloads:
|
DOI:
10.17148/IARJSET.2026.13116
[1] Thousif, Shonan Mendonca, Yasin Khan R, Mohammad Mohseen, Malashree M S, "Express Animate: AI Powered Animation from Written Content," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13116