Slide2Text: Leveraging LLMs for Personalized Textbook Generation from PowerPoint Presentations

The rapid advancements in Large Language Models (LLMs) have revolutionized educational technology, enabling innovative approaches to automated and personalized content creation. This paper introduces Slide2Text, a system that leverages LLMs to transform PowerPoint presentations into customized textbooks. By extracting slide content using OCR, organizing it into a coherent structure, and generating tailored materials such as explanations, exercises, and references, Slide2Text streamlines the textbook creation process. Flexible customization options further enhance its adaptability to diverse educational needs. The system highlights the potential of LLMs in modernizing textbook creation and improving educational accessibility. Future developments will explore multimedia inputs and advanced user customization features.

Publication Details

Journal
ArXiv.org
Published
2025-03-22
Primary Topic
Text Readability and Simplification
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article
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article

Slide2Text: Leveraging LLMs for Personalized Textbook Generation from PowerPoint Presentations

ArXiv.org
Text Readability and Simplification
article

Slide2Text: Leveraging LLMs for Personalized Textbook Generation from PowerPoint Presentations

article en

Abstract

The rapid advancements in Large Language Models (LLMs) have revolutionized educational technology, enabling innovative approaches to automated and personalized content creation. This paper introduces Slide2Text, a system that leverages LLMs to transform PowerPoint presentations into customized textbooks. By extracting slide content using OCR, organizing it into a coherent structure, and generating tailored materials such as explanations, exercises, and references, Slide2Text streamlines the textbook creation process. Flexible customization options further enhance its adaptability to diverse educational needs. The system highlights the potential of LLMs in modernizing textbook creation and improving educational accessibility. Future developments will explore multimedia inputs and advanced user customization features.

ArXiv.org
Quality Education
Openalex Percentile: Top 73%
Text Readability and Simplification
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Slide2Text: Leveraging LLMs for Personalized Textbook Generation from PowerPoint Presentations · ArXiv.org (2025) | TGRS Research Map | TGRS