PaperBanana is a multi-agent AI diagram generator that turns a plain-text description into a publication-ready scientific diagram. Describe a methodology flowchart, a cell signaling pathway or any other figure, and the pipeline generates an illustration with fully editable SVG output, ready for journals, conferences and presentations at venues like NeurIPS, Nature and ICML. It covers more than twelve diagram types and eight visual styles, with examples across scientific disciplines showing what the output looks like. New users get free credits to try it before paying for more. It suits researchers preparing a paper figure, students illustrating a thesis, and teams that need a clean, consistent diagram without hiring an illustrator or fighting a drawing tool. The output is a fully editable SVG, so labels, arrows and colors can be adjusted in any vector editor before submission. Because the diagrams are generated from your own description, the figure matches the method you actually used rather than a generic template, and you can iterate until the layout is clear enough for a reviewer to follow at a glance.