PaperBanana

Publication-Ready Academic Illustrations Our multi-agent AI framework retrieves references, plans layouts, applies styles, generates visuals, and critiques results — all in one seamless pipeline. <a href="" "">paper banana</a >"

PaperBanana is an AI framework designed for generating publication-ready academic illustrations from natural language descriptions. It offers a streamlined process for researchers to create high-quality diagrams and visualizations that align with academic standards, enhancing the clarity and professionalism of their publications. Users describe their methodology or data, and PaperBanana's multi-agent pipeline generates illustrations based on this input. The framework includes agents for searching references, planning layouts, applying styles, rendering visuals, and performing automated critiques to ensure quality and accuracy. Outputs are refined iteratively before delivery. PaperBanana is targeted at researchers seeking to produce high-quality academic illustrations efficiently. It is particularly suited for those who need illustrations that meet strict academic standards, leveraging AI to minimize the effort involved in creating publication-ready visuals.