VisionTune: Platform for Transforming text into video, image and music with AI

  • Unique Paper ID: 175146
  • PageNo: 1825-1831
  • Abstract:
  • With the incorporation of Artificial Intelligence, various systems capable of producing several kinds of outputs like text, images, videos, and music have emerged. But even with all these advancements, the systems are siloed and lack the capabilities of multi-modal media generation. The goal of the paper is to design and build an all-in-one integrated AI system that has consolidated disparate functionalities. This system adopts deep learning models and multi-scope AI models to facilitate automated generation of text, images, videos and music for both creative and analytical purposes. This platform attempts to fill a gap in AI generated media by streamlining the integration of various uses, improving user experience, cross domain media integration, and much more for the domains of entertainment, education, marketing, and content development. The emphasis for the solution is modularity, user-friendliness and scalability which marks a remarkable advancement of AI media systems.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{175146,
        author = {Meet Vijay Jain and Saniya Patel and Samprati Patil and Pranali Vhora and Lukesh Kadu},
        title = {VisionTune: Platform for Transforming text into video, image and music with AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1825-1831},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175146},
        abstract = {With the incorporation of Artificial Intelligence, various systems capable of producing several kinds of outputs like text, images, videos, and music have emerged. But even with all these advancements, the systems are siloed and lack the capabilities of multi-modal media generation. The goal of the paper is to design and build an all-in-one integrated AI system that has consolidated disparate functionalities. This system adopts deep learning models and multi-scope AI models to facilitate automated generation of text, images, videos and music for both creative and analytical purposes. This platform attempts to fill a gap in AI generated media by streamlining the integration of various uses, improving user experience, cross domain media integration, and much more for the domains of entertainment, education, marketing, and content development. The emphasis for the solution is modularity, user-friendliness and scalability which marks a remarkable advancement of AI media systems.},
        keywords = {Multi-modal media generation, Artificial intelligence, Text Generation, Image Synthesis, Video Production, Music Composition.},
        month = {April},
        }

Cite This Article

Jain, M. V., & Patel, S., & Patil, S., & Vhora, P., & Kadu, L. (2025). VisionTune: Platform for Transforming text into video, image and music with AI. International Journal of Innovative Research in Technology (IJIRT), 11(11), 1825–1831.

Related Articles