Paper Banana: Academic figures ready for publication in minutes
Paper Banana is an AI generator for creating publication-ready academic figures (diagrams, statistical charts) from text or data. Based on research from Peking University × Google, it offers instant and free structure diagram generation. It can transform methodology text, experiment descriptions, or figure ideas into publication-ready diagrams and statistical plots in under 3 minutes. It also generates executable Python Matplotlib code from raw data for mathematically accurate statistical plots, and can polish existing sketches for professional output compliant with standards from conferences like NeurIPS, ICML, CVPR, and ACL. It supports multiple input formats (text, JSON, CSV) and produces high-resolution PNG outputs.
For university students, Paper Banana enables the creation of professional thesis diagrams without design expertise. For example, a student can generate a complex model architecture diagram for their computer science thesis by simply describing it in text.
For academic researchers, Paper Banana facilitates the generation of publication-ready statistical charts from data or text descriptions. A researcher can quickly produce a high-quality bar chart for a journal submission by inputting their data and a caption.
For postdoctoral researchers, Paper Banana helps refine and generate clear illustrations of experimental setups for papers. A postdoc can input a rough sketch or textual description of their lab apparatus to create a polished, professional diagram.
For university professors, Paper Banana simplifies the creation of engaging visuals for lecture slides. A professor can generate flowcharts or concept maps to explain complex topics to students, saving time on manual design.
Paper Banana offers a free tier that allows for 5 illustrations per month with basic diagram types and PNG export. A free API key from Google AI Studio is sufficient for normal usage, though rate limits apply.
Paper Banana has a free plan for basic use. Paid plans include a Pro tier at $29/month for unlimited illustrations and advanced export options, and an Enterprise tier with custom pricing for institutions.
While Paper Banana excels at academic figures, alternatives like Adobe Illustrator or TikZ offer more manual control for complex designs. For AI-assisted diagram generation, other tools may exist, but Paper Banana is specifically tailored for research papers.
Paper Banana is primarily a web-based tool, accessible through your browser. There is also an installable CLI and Python API available via PyPI for desktop use.
You can install Paper Banana using pip: `pip install paperbanana`. For additional features like MCP server support, you can install it with `pip install paperbanana[mcp]`.
Information regarding Paper Banana's specific GDPR compliance or security measures is not readily available in the provided search results. Users should review the platform's privacy policy for details.
Paper Banana is tested and supported on Ubuntu, Windows, and macOS. It is compatible with Python versions 3.10, 3.11, and 3.12.
Yes, Paper Banana supports using other AI models through the OpenRouter provider. This allows you to use models like Claude and GPT-4 for VLM and image generation by setting the appropriate API key and model.
We're still verifying the official pricing for Paper Banana. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
Are you the publisher of this tool? to edit this information.
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