PaperBanana transforms raw scientific content into publication-quality diagrams and plots through an AI-powered multi-agent workflow. It eliminates the illustration bottleneck in research by automatically generating accurate visualizations without design skills or complex prompts.
Key benefits include:
- Reference-Driven Generation: Retrieves academic references to ensure diagrams match publication standards
- Multi-Agent Collaboration: Five specialized agents (Retriever, Planner, Stylist, Visualizer, Critic) handle each step of the illustration pipeline
- Iterative Self-Critique: Automatic refinement via Critic agent feedback until quality standards are met
- Executable Code for Plots: Generates Python Matplotlib code for statistical visualizations to prevent data hallucinations
- Multiple Output Formats: Provides high-resolution images for direct publication and customizable code
Perfect for researchers, AI scientists, and academics who need to create journal-ready illustrations for papers, presentations, and educational materials without manual design effort.
