PaperBanana is an AI-based figure-generation tool tailored for researchers. It accepts natural-language descriptions or uploaded sketches and produces methodological diagrams, system architectures, statistical plots, and educational infographics. A multi-agent architecture translates text into structured layouts and renders visuals with a dedicated model, while statistical plots are produced as executable Matplotlib code to guarantee numeric accuracy. Advanced mode can ingest articles to recover visual styles and refine aesthetics to publication standards.

Paper Banana is a web-based AI application that converts methodology descriptions, system architectures, and research concepts into professional academic illustrations. Users enter a text prompt or upload an image, choose a style (diagram, plot, schematic, etc.), and the platform’s multi-stage pipeline (Retriever → Planner → Stylist → Visualizer → Critic) generates a high-resolution figure ready for download. It also offers image-to-illustration editing, iterative refinement, and export options tailored for journals, conference posters, and presentations. Plans start from $19/month and outputs can reach up to 2048px resolution.