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.

Complete Guide

How to Use Paper Banana from text to publication-ready figures

Everything you need to turn methodology text, raw data, or rough sketches into polished academic figures — in about two minutes.

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What is Paper Banana?

Paper Banana is an AI-powered academic figure generator built specifically for researchers, students, and academics who need publication-quality visuals.

AI Academic Figure Generator

Purpose-built for research papers — not generic AI art. Every output is designed to meet the visual standards of top venues like NeurIPS, ICML, and Nature.

5-Agent AI Pipeline

Five specialized AI agents collaborate on each figure: retrieving references, planning layout, styling elements, generating visuals, and critiquing the result.

2 Minutes Per Figure

What used to take hours of manual drawing in PowerPoint, Illustrator, or TikZ now takes a single prompt and about two minutes of processing.

Getting Started

Three steps to your first figure.

Sign Up with Google

Click "Sign In" in the top-right corner and authenticate with your Google account. You will receive free credits to start generating immediately.

Open the Generator

Navigate to the generator from the homepage or click "Create" in the navigation bar. The generation interface will load with all options visible.

Choose Your Figure Type

Select from five specialized workflows: Methodology Diagrams, Statistical Plots, Figure Cleanup, Teaching Visuals, or Venue-Aware Refinement.

Choose Your Figure Type

Each workflow is optimized for a different kind of academic visual. Pick the one that matches your need.

Methodology Diagrams

Architecture diagrams, pipelines, module interactions, and process overviews. Best when you need to explain how a system works.

Model architectures, training pipelines, RAG workflows, agent systems

Statistical Plots

Bar charts, line charts, scatter plots, heatmaps, and confusion matrices from structured data. Numbers-first figure generation.

Benchmark comparisons, training curves, ablation studies, result summaries

Figure Cleanup

Rebuild blurry, inconsistent, or slide-style visuals into paper-ready figures with clean lines and proper typography.

PowerPoint cleanup, co-author figure unification, screenshot reconstruction

Teaching Visuals

Concept explainers, survey diagrams, and educational illustrations where clarity matters more than novelty.

Survey papers, course materials, concept breakdowns, mechanism diagrams

Venue-Aware Refinement

Polish existing figures for specific venues — adjust color contrast, spacing, font scale, and visual balance for submission.

NeurIPS-style cleanup, Nature simplification, camera-ready passes

Step-by-Step: Generate Your First Figure

Walk through the full generation process from input to download.

Paste Your Content

Copy your methodology text, experimental data, or upload a rough sketch into the input area. The more context you provide, the better the output.

You can paste an entire Methods section — Paper Banana will extract the relevant structure automatically.

Describe What You Want

Use natural language to describe the figure you need. Be specific about what should be emphasized, which components to include, and the overall layout.

Example: "Create a pipeline diagram showing the 3-stage training process with data flow arrows between modules."

Set Your Parameters

Choose resolution (1K, 2K, or 4K), number of iterations (1–5), and optionally select a style preset. Higher iterations produce more refined results.

For journal submissions, use 2K or 4K resolution. For quick drafts, 1K is fast and sufficient.

Wait for Generation

The 5-Agent pipeline processes your request in about 2 minutes. Watch the Pipeline Log in real time to see each agent's progress.

The Critic agent automatically evaluates and iterates — this is what makes Paper Banana outputs consistently high quality.

Download Your Figure

Once complete, download the high-resolution PNG. The figure is ready to drop directly into your LaTeX document, Word file, or presentation.

All outputs are PNG format with transparent or white backgrounds, compatible with any document format.

What Happens Behind the Scenes

Paper Banana uses a 5-Agent AI Pipeline where each agent handles a specialized task. This is not a single-prompt image generator — it is an orchestrated workflow.

Retriever

Searches relevant academic figure references and visual patterns to inform the generation.

Planner

Determines the optimal layout, component hierarchy, and information flow for your figure.

Stylist

Applies academic visual conventions — typography, color palettes, spacing, and element styling.

Visualizer

Renders the actual figure based on the plan and style specifications.

Critic

Evaluates the output against academic standards and triggers automatic refinement iterations until quality thresholds are met.

The Critic agent is what sets Paper Banana apart — it automatically iterates on the output until it meets publication standards, so you do not have to.

Tips for Better Results

Get the most out of Paper Banana with these practical suggestions.

Be Specific in Your Prompts

"Create a 3-layer neural network diagram with skip connections" will always outperform "make a nice diagram." Include component names, relationships, and emphasis.

Use Structured Data

For statistical plots, provide data in JSON or tabular format. Structured input produces more accurate charts than asking the AI to infer numbers from text.

Choose the Right Resolution

Use 1K for quick previews and iteration. Use 2K for most paper submissions. Reserve 4K for high-DPI posters and camera-ready final versions.

Trust the Default Iterations

3 iterations is the sweet spot for most figures. The Critic agent handles quality control automatically — more iterations are not always better.

Upload High-Quality Originals

When using Figure Cleanup, start with the highest-quality version of your original figure. Better input gives the AI more information to work with.

Credits & Pricing Quick Reference

Paper Banana uses a credit-based system. Here is a quick overview of how credits work.

Action	Credits
Base generation (per iteration)	5 credits
1K resolution	No extra cost
2K resolution	+5 credits
4K resolution	+10 credits

New accounts receive free credits to try Paper Banana before committing to a plan.

See full pricing details

Ready to create your first publication-ready figure?

Join thousands of researchers who use Paper Banana to produce figures that match the quality of their research.

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