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OpenDCAI%2FPaper2Any | Trendshift

✨ Focus on paper multimodal workflows: from paper PDFs/screenshots/text to one-click generation of model diagrams, technical roadmaps, experimental plots, and slide decks ✨

| 📄 Universal File Support | 🎯 AI-Powered Generation | 🎨 Custom Styling | ⚡ Lightning Speed |

📑 Table of Contents

🔥 News

Tip

🆕 2026年05月30日 · Editable PPT Workflow Consolidation
The latest frontend editable PPT workflow is now integrated into Paper2Any, combining outline-assisted generation, canvas editing, gallery review, and paper / AI image insertion into editable decks.
HTML-based editable PPTX export and ONLYOFFICE online editing remain available as optional layers on top of the main editable export workflow.

Tip

🆕 2026年04月24日 · Image Model Playground Upgrade
Added a new Image Model Playground page for managed image generation across Nano Banana 2 / Nano Banana Pro / Image 2 / Image 2 All.
The workflow now supports language control, model-specific generation options, batch generation (1 / 2 / 4 / 8 / 16), compressed thumbnail previews, and one-click batch download.

Tip

🆕 2026年04月15日 · 2026 Paper Updates
Two Paper2Any-related papers are now listed in the 2026 cycle:
Paper2SysArch: Structure-Constrained System Architecture Generation from Scientific Papers · CVPR 2026 Findings
SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse Parsing · ACL 2026 Main

@article{guo2025paper2sysarch,
 title = {Paper2SysArch: Structure-Constrained System Architecture Generation from Scientific Papers},
 author = {Guo, Ziyi and Liu, Zhou and Zhang, Wentao},
 journal = {arXiv preprint arXiv:2511.18036},
 year = {2025},
 note = {CVPR 2026 Findings}
}
@article{zhang2026sciflowbench,
 title = {SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse Parsing},
 author = {Zhang, Tong and Lin, Honglin and Liu, Zhou and Chen, Chong and Zhang, Wentao},
 journal = {arXiv preprint arXiv:2602.09809},
 year = {2026},
 note = {ACL 2026 Main}
}

Tip

🆕 2026年03月28日 · Editable PPT Showcase Refresh
Added two new editable PPT showcase screenshots for the frontend-deck workflow:
a generated multi-slide gallery view and the canvas editing workspace with deck theme lock.

✨ Core Features

📸 Showcase

🧩 Drawio

📝 Paper2Rebuttal: Rebuttal Drafting

📊 Paper2Figure: Scientific Figure Generation

_{✨ Experimental Plot Generation (Multiple Styles)}

🎬 Paper2PPT: Paper to Presentation

🎬 Paper2Video: PPT to Narrated Video

🖼️ Paper2Poster: Paper to Poster

🔎 Paper2Citation: Citation Explorer

🎨 PPT Smart Beautification

🖼️ PDF2PPT: Layout-Preserving Conversion

🚀 Quick Start

Requirements

.env Modes

cp fastapi_app/.env.simple.example fastapi_app/.env
cp frontend-workflow/.env.simple.example frontend-workflow/.env

cp fastapi_app/.env.example fastapi_app/.env
cp frontend-workflow/.env.example frontend-workflow/.env

🐧 Linux Installation

1. Create Environment & Install Base Dependencies

# 0. Create and activate a conda environment
conda create -n paper2any python=3.11 -y
conda activate paper2any
# 1. Clone repository
git clone https://github.com/OpenDCAI/Paper2Any.git
cd Paper2Any
# 2. Install base dependencies
pip install -r requirements-base.txt
# 3. Install in editable (dev) mode
pip install -e .

2. Install Paper2Any-specific Dependencies (Required)

# 1. Paper / PDF / figure Python extras
pip install -r requirements-paper.txt
# 2. NVIDIA GPU runtime extras (Linux + CUDA 12 only)
pip install -r requirements-cu12.txt
# 3. LaTeX engine (tectonic) - recommended via conda
conda install -c conda-forge tectonic -y
# 4. Resolve doclayout_yolo dependency conflicts (Important)
pip install doclayout_yolo --no-deps
# 5. System dependencies (Ubuntu example; full list is mirrored in requirements-system-ubuntu.txt)
sudo apt-get update
sudo apt-get install -y ffmpeg inkscape libreoffice poppler-utils wkhtmltopdf

Important

ffmpeg, libreoffice/soffice, inkscape, poppler-utils, wkhtmltopdf, and tectonic are external system tools. They are not installed by pip, and deploy/start*.sh does not auto-install them.

3. Environment Variables

export DF_API_KEY=your_api_key_here
export DF_API_URL=xxx # Optional: if you need a third-party API gateway
export MINERU_DEVICES="0,1,2,3" # Optional: MinerU task GPU resource pool

Tip

📚 For detailed configuration guide, see Configuration Guide for step-by-step instructions on configuring models, environment variables, and starting services.

4. Configure Environment Files (Optional)

Note

Quick Start: You can skip the .env configuration entirely and use CLI scripts directly with --api-key parameter. See CLI Scripts section below.

🪟 Windows Installation

Note

We currently recommend trying Paper2Any on Linux / WSL. If you need to deploy on native Windows, please follow the steps below.

1. Create Environment & Install Base Dependencies

# 0. Create and activate a conda environment
conda create -n paper2any python=3.12 -y
conda activate paper2any
# 1. Clone repository
git clone https://github.com/OpenDCAI/Paper2Any.git
cd Paper2Any
# 2. Install base dependencies
pip install -r requirements-win-base.txt
# 3. Install in editable (dev) mode
pip install -e .

2. Install Paper2Any-specific Dependencies (Recommended)

# Python dependencies
pip install -r requirements-paper.txt
# NVIDIA GPU runtime extras (Linux only; skip on Windows)
# pip install -r requirements-cu12.txt
# tectonic: LaTeX engine (recommended via conda)
conda install -c conda-forge tectonic -y

Tip

After configuring the Path, it is recommended to reopen the terminal (or restart VS Code / PowerShell) to ensure the environment variables take effect.

⚡ Install Windows Build of vLLM (Optional | For Local Inference Acceleration)

pip install vllm-0.11.0+cu124-cp312-cp312-win_amd64.whl

Important

Please make sure the .whl matches your current environment:

• Python: cp312 (Python 3.12)
• Platform: win_amd64
• CUDA: cu124 (must match your local CUDA / driver)

Launch Application

# Recommended one-click entrypoint on NVIDIA machines
bash deploy/start_nv.sh

export default defineConfig({
 plugins: [react()],
 server: {
 port: 3000,
 open: true,
 allowedHosts: true,
 proxy: {
 '/api': {
 target: 'http://127.0.0.1:8000', // FastAPI backend address
 changeOrigin: true,
 },
 '/outputs': {
 target: 'http://127.0.0.1:8000',
 changeOrigin: true,
 },
 },
 },
})

# Start in PowerShell
vllm serve opendatalab/MinerU2.5-2509-1.2B `
 --host 127.0.0.1 `
 --port 8010 `
 --logits-processors mineru_vl_utils:MinerULogitsProcessor `
 --gpu-memory-utilization 0.6 `
 --trust-remote-code `
 --enforce-eager

Launch Application

🎨 Web Frontend (Recommended)

# Recommended one-click entrypoint on NVIDIA machines
bash deploy/start_nv.sh

🖥️ CLI Scripts (Command-Line Interface)

Environment Variables

export DF_API_URL=https://api.openai.com/v1 # LLM API URL
export DF_API_KEY=sk-xxx # API key
export DF_MODEL=gpt-4o # Default model

Available CLI Scripts

# Generate model architecture diagram from PDF
python script/run_paper2figure_cli.py \
 --input paper.pdf \
 --graph-type model_arch \
 --api-key sk-xxx
# Generate technical roadmap from text
python script/run_paper2figure_cli.py \
 --input "Transformer architecture with attention mechanism" \
 --input-type TEXT \
 --graph-type tech_route
# Generate experimental data visualization
python script/run_paper2figure_cli.py \
 --input paper.pdf \
 --graph-type exp_data

# Basic usage
python script/run_paper2ppt_cli.py \
 --input paper.pdf \
 --api-key sk-xxx \
 --page-count 15
# With custom style
python script/run_paper2ppt_cli.py \
 --input paper.pdf \
 --style "Academic style; English; Modern design" \
 --language en

# Basic conversion (no AI enhancement)
python script/run_pdf2ppt_cli.py --input slides.pdf
# With AI enhancement
python script/run_pdf2ppt_cli.py \
 --input slides.pdf \
 --use-ai-edit \
 --api-key sk-xxx

# Basic conversion
python script/run_image2ppt_cli.py --input screenshot.png
# With AI enhancement
python script/run_image2ppt_cli.py \
 --input diagram.jpg \
 --use-ai-edit \
 --api-key sk-xxx

# Basic beautification
python script/run_ppt2polish_cli.py \
 --input old_presentation.pptx \
 --style "Academic style, clean and elegant" \
 --api-key sk-xxx
# With reference image for style consistency
python script/run_ppt2polish_cli.py \
 --input old_presentation.pptx \
 --style "Modern minimalist style" \
 --ref-img reference_style.png \
 --api-key sk-xxx

Note

System Requirements for PPT2Polish:

• LibreOffice: sudo apt-get install libreoffice (Ubuntu/Debian)
• pdf2image: pip install pdf2image
• poppler-utils: sudo apt-get install poppler-utils

Common Options

python script/run_paper2figure_cli.py --help

📂 Project Structure

Paper2Any/
├── dataflow_agent/ # Core codebase
│ ├── agentroles/ # Agent definitions
│ │ └── paper2any_agents/ # Paper2Any-specific agents
│ ├── workflow/ # Workflow definitions
│ ├── promptstemplates/ # Prompt templates
│ └── toolkits/ # Toolkits (drawing, PPT generation, etc.)
├── fastapi_app/ # Backend API service
├── frontend-workflow/ # Frontend web interface
├── static/ # Static assets
├── script/ # Script tools
└── tests/ # Test cases

🗺️ Roadmap

🤝 Contributing

📄 License

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