Paper2Slides is an AI-driven presentation generator and content extractor designed to transform academic papers and scientific documents into structured slides and posters. It utilizes retrieval-augmented generation to distill key data points and identify critical figures while maintaining direct traceability to the original source text.
The system functions as an AI slide designer that applies professional themes or custom visual styles defined through natural language. It integrates with external image generation services to produce high-quality visuals and research visualizations for academic layouts.
The application employs a multi-stage generation pipeline that supports both deep semantic indexing for complex papers and a fast-mode for rapid previews. Processing efficiency is managed through parallel worker rendering and a state-based checkpoint system that allows for the resumption of interrupted tasks or the independent regeneration of specific sections.
The project is provided as a containerized document processor to ensure consistent execution across different operating systems.