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AutoFigure
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About AutoFigure
AutoFigure is an open-source AI system that generates and refines scientific illustrations from text using a multi-agent workflow. It is designed to address a major bottleneck in academia and technical communication by converting natural language descriptions or full research papers into structured, visually accurate diagrams. The system leverages multiple AI agents to iteratively generate, evaluate, and refine outputs, ensuring both correctness and aesthetic quality. Users can input text or paper content, and AutoFigure produces publication-ready figures that are compatible with professional tools. The tool is particularly useful for researchers, students, engineers, educators, and technical writers who need to create high-quality diagrams for papers, presentations, documentation, and educational content. By automating the diagram creation process, AutoFigure significantly reduces the time and effort required for manual design while maintaining precision and clarity in visual communication.
GitHub, Inc.
San Francisco, California, US · Founded 2008
- Founders
- Tom Preston-Werner, Chris Wanstrath, PJ Hyett, Scott Chacon
- Founded
- 2008
- Headquarters
- San Francisco, California, US
- Legal status
- Subsidiary of Microsoft (NASDAQ: MSFT)
Key features
- Generate scientific diagrams directly from natural language descriptions
- Extract methodologies from research papers and convert them into visual figures
- Refine outputs automatically using a multi-agent review and improvement loop
- Export fully editable SVG or diagram formats for further customization
- Apply style transfer from reference images to match desired visual aesthetics
- Analyze long-form scientific text to extract key structures and workflows
- Produce publication-ready figures compatible with professional tools
- Support iterative editing and refinement of generated diagrams
Use cases
- Create publication-ready figures for academic papers
- Visualize complex systems and workflows in research
- Generate diagrams for teaching and educational materials
Pros
- Generates publication-ready scientific figures from text or research papers using LLMs
- Supports iterative refinement with a dual-agent system (Generation + Evaluation) for quality optimization
- Outputs in SVG or mxGraph XML, compatible with professional tools like draw.io
- Offers an interactive web interface for easy generation and editing
- Includes optional AI-powered post-processing for aesthetic enhancement
Cons
- Requires technical setup for local deployment, including Python SDK installation and API key configuration
- Performance depends on the chosen LLM provider and model, which may introduce variability
Frequently asked questions about AutoFigure
What is AutoFigure and what does it do?
AutoFigure is an open-source AI system that converts natural language descriptions or research papers into structured, publication-ready scientific illustrations using a multi-agent workflow.
Who is AutoFigure designed for?
The tool is primarily aimed at researchers, students, engineers, educators, and technical writers who need to create high-quality diagrams for papers, presentations, documentation, or educational content.
How does the iterative refinement process work in AutoFigure?
AutoFigure uses a Review-Refine loop where a generation agent creates an initial figure, an evaluation agent scores its quality, and the process repeats until the figure meets publication standards.
What file formats does AutoFigure support for output?
AutoFigure outputs figures in SVG or mxGraph XML format, which are fully compatible with professional tools like draw.io.
Can AutoFigure extract diagrams from existing PDF research papers?
Yes, AutoFigure can process PDFs to extract methodology and automatically generate corresponding visual diagrams.
Is there a web interface available for AutoFigure?
Yes, AutoFigure provides an interactive Next.js web interface for generating and editing figures without requiring local setup.
