PaperBanana

PaperBanana is an academic illustration generator built for research workflows. Instead of starting from a blank canvas or relying on generic image prompts, you paste paper method text, references, or add cues from a rough sketch—then generate publication-ready methodology diagrams, statistical plots, and other AI research figures.

Key tools include Image to Image for generating figures from reference images (such as sketches, draft diagrams, screenshots, or other figure drafts), an AI Image Editor to revise and clean existing visuals using text instructions, and an Image Upscaler to enhance low-resolution drafts for clearer exports. PaperBanana also supports a methodology diagram generator workflow with configurable generation settings like figure caption, max iterations for speed vs deeper review, and aspect ratio to match common paper/poster layouts.

This is designed for researchers who need faster figure creation without sacrificing scientific structure—model and system overviews, multi-stage pipelines, retriever/planner/renderer workflows, and benchmark-style chart panels. If your first draft feels crowded or unclear, an iterative feedback loop can help critique and improve labels, spacing, and overall readability.

PaperBanana requires sign-in before generation. You can start with Free Draft previews, while paid models are described as producing cleaner labels and more publication-ready figures.

What is PaperBanana used for?

PaperBanana is for generating and polishing research visuals—especially methodology diagrams, statistical plots, and other AI research figures—using paper text, references, and sketches as input.

Can I create a methodology diagram from my paper text?

Yes. Paste the relevant method section or notes plus a short caption describing the figure type, and PaperBanana drafts a structured methodology diagram from that source context.

Does PaperBanana work with sketches or draft figures I already have?

Yes. You can use rough sketches and early drafts as references, then generate a cleaner academic version while preserving the original layout idea.

How do Image to Image and the AI Image Editor differ?

Image to Image focuses on generating a figure from reference images, while the AI Image Editor revises or cleans an existing visual using text instructions to adjust composition, details, or clarity.

Can PaperBanana upscale low-quality figure drafts?

Yes. The Image Upscaler improves figure resolution and output clarity for low-quality drafts or screenshots that need a cleaner final export.

Is there a free option before paying?

Yes. Free Draft previews the idea, and paid models are positioned for cleaner labels and publication-ready figures.