What kind of figures can Paper Banana generate?

Paper Banana generates two main types of academic figures: methodology diagrams (system architectures, model pipelines, experimental workflows, algorithm flowcharts) and statistical plots (bar charts, line graphs, scatter plots, heatmaps, confusion matrices). All outputs are exported as high-resolution PNG images suitable for direct insertion into journal papers, conference submissions, theses, and presentation slides.

How does the Paper Banana 5-agent AI pipeline work?

Your input passes through five specialized AI agents in sequence. The Retriever searches a curated database of reference diagrams from top venues like NeurIPS and ICML. The Planner translates your text into a detailed structural description. The Stylist applies academic visual standards. The Visualizer renders the final image. Finally, the Critic evaluates the output against your source text and triggers refinements if needed.

How many credits does each generation cost?

Each iteration costs 5 credits. With the default 3 iterations, a typical generation uses 15 credits. The Critic agent may approve the result early, in which case unused iteration credits are not charged.

Are the generated figures suitable for journal publication?

Yes. Paper Banana applies formatting conventions from top academic venues including NeurIPS, ICML, CVPR, Nature, IEEE, and ACM. Output resolution goes up to 4K, and figures are exported as PNG — the standard format accepted by all major publishers and LaTeX document systems.

Do I need any design skills to use Paper Banana?

No. Just paste your paper text or data and describe what you want in plain English. Paper Banana handles all visual design decisions — layout, color palette, typography, arrow routing, spacing — automatically, based on the conventions of your target venue.

How long does generation take?

A typical generation with 3 iterations takes about 2 minutes. The main time cost is the image rendering step (~60 seconds per iteration). You can monitor real-time progress in the Pipeline Log.

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