PaperBanana
An AI academic illustration platform that turns scientific content into publication-ready diagrams, plots, and refined visuals.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for PaperBanana, derived from its capabilities.
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Overview
PaperBanana is an AI academic illustration platform built to transform raw scientific content into publication-ready diagrams, plots, and refined visuals. Its official site describes it as an agentic framework that orchestrates specialized agents such as Retriever, Planner, Stylist, Visualizer, and Critic to generate and iteratively refine research illustrations. The platform supports methodology diagrams, statistical plots with downloadable Python Matplotlib code, aesthetic enhancement of sketches, educational infographics, and visual refinement of existing diagrams. It is aimed at researchers, educators, labs, and technical teams that want faster creation of high-quality scientific figures without manual design work.
Key features
- academic illustrations
- research diagrams
- statistical plots
- Matplotlib
- scientific visualization
- methodology diagrams
- educational infographics
- visual refinement
- multi-agent workflow
- publication-ready
Use cases
- Generating publication-ready methodology diagrams from research descriptions.
- Creating statistically accurate plots from datasets with downloadable Python code.
- Refining rough sketches and existing diagrams into cleaner academic visuals.
- Producing educational infographics and scientific illustrations for papers, posters, and presentations.