LLM VIDEO EDITOR USING GENERATIVE AI
Video creation and content have become extremely popular, yet the expertise and improvisation required for editing often pose Challenges. In this paper, we explore the integration of large language models (LLMs) into the video editing flow and creation of dynamic content by reducing these barriers. The system combines LLM into the video editing along with Hugging face models (GPT-2, MISTRAL-7B) for dynamic video Creation. Our Vision is into a LLM Video Editor, which either asks for uploaded video or Generates video. LLM Video Editor generates subtitles with MultiLanguage Support, Style Recommendation with Variety Templates. It also helps for the voiceover to be embedded. At last, we get dynamic and High-Quality Videos
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-24
- DOI
- https://doi.org/10.5281/zenodo.15731138
- Primary Topic
- Generative Adversarial Networks and Image Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00