ExplainViz

Create accurate, publication-ready scientific figures and diagrams from a description.

Added: 10/7/2026

ExplainViz is an AI scientific figure maker that turns research findings, variables, theories, and abstracts into editable, publication-ready diagrams and posts

ExplainViz

Overview

Overview

ExplainViz is an AI scientific figure and diagram maker designed for research and academic workflows. It turns a description of a finding, a set of variables, a theory, a mechanism, or a conference submission into structured, labeled scientific figures. Instead of generating uneditable decorative images, ExplainViz drafts publication-ready diagrams such as graphical abstracts, conceptual frameworks, theoretical frameworks, scientific illustrations, and scientific posters. Users can review, refine, and export figures as vector SVG or high-resolution output sized for journals and conferences.

Key Features

  • AI scientific figure generation from a plain-language description, abstract, variables, theory, or study summary.
  • Specialized tools for different research outputs: Graphical Abstract Maker, Conceptual Framework Generator, Theoretical Framework Generator, Scientific Illustration Generator, and Scientific Poster Generator.
  • Publication-ready output with accurate, reviewable labels, directional arrows, and logical layout.
  • Editable SVG export designed for Adobe Illustrator and similar vector-editing workflows.
  • Journal-spec sizing support for major publishers such as Elsevier, Wiley, and Cell Press.
  • No watermark on exported figures.
  • Review-and-revise workflow: users can adjust labels, relationships, layout, colors, and typography while keeping scientific judgment in their hands.
  • High-resolution output sized for target journals, conferences, posters, and presentations.
  • Prompt examples include molecular signaling graphical abstracts, mediator/moderator conceptual frameworks, A0 clinical study posters, and photosynthesis light reactions in the thylakoid membrane.
  • Free start option for creating scientific figures.

Target Users

  • Researchers, academics, professors, postdocs, and PhD students preparing journal papers.
  • Authors who need graphical abstracts and scientific figures that remain editable through peer review.
  • Thesis and dissertation writers creating conceptual or theoretical frameworks.
  • Conference presenters and grant applicants producing scientific posters and research visuals.
  • Educators and teachers who need accurate, labeled scientific illustrations, such as animal cell or photosynthesis diagrams.
  • Research teams that want consistent, professional, and editable scientific diagrams without starting from scratch in design software.

Unique Selling Points

  • Built specifically for scientific figure types and academic workflows, not generic AI image generation.
  • Produces structured, labeled, reviewable diagrams rather than uneditable decorative images.
  • Exports editable SVG, which is essential for journal revisions, Illustrator editing, and long-term figure maintenance.
  • Supports journal-spec dimensions and publisher requirements, reducing manual resizing and formatting work.
  • Keeps scientific judgment with the researcher while automating layout, labels, and sizing for the first structured draft.
  • No watermark, making outputs more suitable for publication and presentation use.
  • Covers multiple research outputs in one workspace: graphical abstracts, conceptual frameworks, theoretical frameworks, scientific illustrations, and posters.

Pros and Cons

Pros

  • Speeds up the first draft of publication-ready scientific figures from a simple description.
  • Produces editable SVG output, so figures can be refined in Illustrator or other vector tools.
  • Designed around scientific accuracy, labels, and relationships rather than purely aesthetic image generation.
  • Supports multiple specialized research figure types in one platform.
  • Journal-spec sizing and no watermark make it more practical for real publication workflows.
  • Useful for papers, theses, posters, grants, and educational scientific illustrations.

Cons

  • AI-generated scientific content still requires expert review for accuracy before submission.
  • Results depend heavily on how specific and detailed the initial description is.
  • Best suited for structured scientific diagrams, not photorealistic or artistic imagery.
  • Journal-specific formatting rules may still require manual final checks.
  • As a web-based tool, it may not suit users who need a fully offline or desktop-only workflow.

Top Features

  • AI-generated graphical abstracts, conceptual frameworks, theoretical frameworks, scientific illustrations, and posters
  • Editable SVG export for Illustrator and vector-editing workflows
  • Journal-spec sizing for publishers such as Elsevier, Wiley, and Cell Press

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