PaperBanana

PaperBanana is an AI-powered tool that converts text descriptions into publication-ready academic figures. Instead of spending hours manually drawing methodology diagrams, statistical charts, or system architectures in vector software, researchers can type a prompt and get a polished illustration in seconds. The tool handles everything from transformer architectures to GAN training pipelines, and it can even refine rough hand-drawn sketches into professional-grade visuals suitable for top conferences like NeurIPS and ICML.

What sets PaperBanana apart is its multi-agent architecture. A Planner agent breaks down the text into a structured visual layout, then a Visualizer agent renders it using a custom model called Nano-Banana-Pro. For statistical plots, PaperBanana generates executable Python Matplotlib code from raw data, so bars, axes, and scales are mathematically precise — no hallucinated numbers. The system also applies auto-summarized aesthetic guidelines to improve color schemes, typography, and spacing. You can upload a reference paper to match its style, or use templates for common diagram types.

PaperBanana is built for researchers, academics, and students who need clear, accurate figures for papers, slide decks, posters, and supplementary materials. It's especially useful for those in computer science, engineering, and the natural sciences. The free tier lets you try it out, and paid plans start at $13.50 per month for heavier use. If you've ever struggled to make a clean architecture diagram or a precise bar chart, this tool saves real time.