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About FigEditor

FigEditor is a browser-based workspace that converts research ideas, hand-drawn sketches, or reference images into polished, editable scientific figures. It supports text-to-figure generation for mechanisms, pathways, workflows, or experiments, producing structured first drafts that can be refined for papers, posters, or presentations. Users can upload rough sketches to receive cleaner drafts while preserving core logic, or provide visual references to guide composition, palette, and density. The tool also vectorizes existing flat figures, enabling label, color, and layout updates in external design software. Outputs are exported as editable SVG or high-resolution PNG files. FigEditor is designed for research workflows across institutions and disciplines, offering specialized tools for figures, flowcharts, and posters. It includes multiple image models such as Nano Banana, Nano Banana 2, Nano Banana Pro, and GPT Image 2, each tailored for different scientific visualization needs.

Key features

  • Text-to-figure generation
  • Sketch-to-figure refinement
  • Reference-guided figure creation
  • Figure vectorization
  • SVG and PNG export
  • Multiple image models (Nano Banana, Nano Banana 2, Nano Banana Pro, GPT Image 2)
  • Flowchart generation
  • Scientific poster creation

Use cases

  • Creating mechanism diagrams for research papers
  • Designing workflow charts for presentations
  • Generating graphical abstracts for journal submissions

Pros

  • Generates figures from text, sketches, or references
  • Supports editable SVG and high-resolution PNG exports
  • Vectorizes existing flat figures for further editing
  • Offers multiple specialized image models
  • Browser-based with no software installation required

Cons

  • No free tier beyond initial credits
  • Credit-based system with expiration for subscriptions
  • Limited to browser-based usage
  • Requires credits for all generation and editing tasks

Frequently asked questions about FigEditor

What is an AI scientific figure generator?

An AI scientific figure generator turns a text prompt, sketch, or reference image into a visual draft for research communication. FigEditor combines generation, refinement, vectorization, and export in one browser-based workspace.

Who is FigEditor designed for?

FigEditor is designed for research workflows across institutions and disciplines, supporting users in creating figures for papers, posters, or presentations. It caters to researchers, scientists, and academics in fields like life science, engineering, environmental research, and materials science.

Can I use FigEditor to refine existing figures?

Yes, FigEditor includes a figure vectorizer that converts flat PNG or JPG files into scalable vector assets, allowing you to update labels, colors, and layout in external design software.

What input methods does FigEditor support?

FigEditor supports multiple input methods, including text prompts, hand-drawn sketches, reference images, and existing flat figures. Users can describe mechanisms, pathways, workflows, or experiments to generate structured drafts.

What output formats does FigEditor provide?

FigEditor exports outputs as editable SVG files or high-resolution PNG files, enabling further editing in design or presentation tools.

Are my papers, prompts, and uploaded images used for training?

The tool does not explicitly state this in the scraped content, but users can review the data handling and privacy policies on the website for detailed information.

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