Paper2All - Academic Paper Transformation
Convert academic papers (LaTeX or PDF) into multiple promotional and presentation formats: interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster).
Key Benefits
- Transform papers into three output formats automatically
- LLM-powered content extraction and layout design
- Interactive, explorable academic homepages
- Professional presentation videos with narration
- Print-ready conference posters (any size)
- Batch processing for multiple papers
- Institution branding and logo discovery
Core Capabilities
- Paper2Web: Responsive multi-section websites with interactive figures, tables, citations
- Paper2Video: Presentation videos with slides, speech synthesis, cursor movements, optional talking-head
- Paper2Poster: Custom dimension posters with professional layouts and QR codes
- Input Support: LaTeX source (recommended) or high-quality PDF
- Multi-language: English/Chinese content generation
- Quality Assessment: Automated checks for completeness, accuracy, aesthetics
When to Use
- Creating conference materials (posters, videos, websites)
- Promoting research findings online
- Enhancing preprints on arXiv/bioRxiv
- Generating video abstracts for journals
- Disseminating findings on social media
- Batch processing multiple papers
Workflow
- Install Paper2All and configure API keys (OpenAI)
- Organize paper directory with LaTeX/PDF and figures
- Run pipeline:
python pipeline_all.py --input-dir paper/ --output-dir output/ - Choose components: website, poster, video, or all three
- Review and deploy generated outputs
Technical Requirements
- Python 3.11, LibreOffice, Poppler
- OpenAI API key (GPT-4 recommended)
- Optional: NVIDIA GPU (48GB) for talking-head videos
- Processing: 15-60 minutes per paper depending on components
Source: https://github.com/YuhangChen1/Paper2All License: MIT
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