📄 Paper   |   🤗 Dataset   |   📝 Documentation   |   🙏 Citation

We present PPTAgent, an innovative system that automatically generating presentations from documents. Drawing inspiration from human presentation creation methods, our system employs a two-step process to ensure excellence in content quality, visual design, and structural coherence. Additionally, we introduce PPTEval, a comprehensive evaluation framework that assesses presentations across multiple dimensions.

• Dynamic Content Generation: Creates slides with seamlessly integrated text and images
• Smart Reference Learning: Leverages existing presentations without requiring manual annotation
• Comprehensive Quality Assessment: Evaluates presentations through multiple quality metrics

• Iphone 16 Pro

• Build Effective Agents

PPTAgent follows a two-phase approach:

1. Analysis Phase: Extracts and learns from patterns in reference presentations
2. Generation Phase: Develops structured outlines and produces visually cohesive slides

Our system's workflow is illustrated below:

PPTEval evaluates presentations across three dimensions:

• Content: Check the accuracy and relevance of the slides.
• Design: Assesses the visual appeal and consistency.
• Coherence: Ensures the logical flow of ideas.

The workflow of PPTEval is shown below:

If you find this project helpful, please use the following to cite it:

@article{zheng2025pptagentgeneratingevaluatingpresentations,
      title={PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides},
      author={Hao Zheng and Xinyan Guan and Hao Kong and Jia Zheng and Hongyu Lin and Yaojie Lu and Ben He and Xianpei Han and Le Sun},
      year={2025},
      eprint={2501.03936},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2501.03936},
}