ExplainViz is an AI scientific diagram creation tool, positioned as a research-oriented scientific diagram generator that can transform research content into accurate, labeled diagrams, and supports editing and export as vector SVG.
Purpose The tool is used to generate publication-grade scientific diagrams required for academic research, covering types such as graphical abstracts, conceptual frameworks, theoretical frameworks, and scientific posters. The official description states that each tool is built for the specific types of scientific diagrams researchers need, rather than for general image generation.
Main capabilities It provides multiple generators: a conceptual framework generator, which can transform variables, hypotheses, and relationships into a clear research conceptual framework; a graphical abstract maker, which can transform abstracts into clear, journal-appropriate graphical abstracts; a scientific illustration generator, which can transform descriptions into accurate, labeled scientific illustrations; a scientific poster generator, which can transform research into clean research posters suitable for conferences; and a theoretical framework generator, which can transform the theory behind the research into a clear theoretical framework diagram. The output is a structured research diagram containing correct labels, directional arrows, and logical layout, and it remains editable.
How to use There are three steps in the workflow. Step one, describe the findings or variables: explain the relationships, mechanisms, theories, or sections the diagram needs to convey. The more specific the description, the more accurate the initial draft. It is recommended to include variable names, directions of influence, and the required diagram type. Step two, the AI drafts an accurate, labeled scientific diagram organized around the research content rather than visual aesthetics. Step three, edit, review, and export: check every label and relationship, optimize the layout, adjust colors and fonts, and prepare SVG or high-resolution output. The size can be set according to the requirements of the target journal or conference, and the diagram remains editable through every round of revision.
Use cases It is aimed at researchers and academic professionals, suitable for graphical abstracts and scientific diagrams in journal papers, and remains editable across rounds of peer review of the manuscript; it can be exported at the exact dimensions required by journals, and the official description mentions Elsevier, Wiley, Cell Press, and others. The official description states that researchers in fields such as biology, education, engineering, nursing, and social sciences use the tool to move from draft to publication faster. It also provides research poster generation, and the official description mentions that it can automatically handle A0 layout and typesetting, with excellent print quality.
Differences from general AI image generators The official description states that general AI tools optimize visual style, producing images that are visually attractive but have garbled labels and fabricated structures, and cannot export editable vectors; ExplainViz is research-oriented and provides accurate labels, structured layouts, editable SVG, and output that conforms to journal specifications, making it easier for researchers to verify before publication.
Limitations The official description does not state free quota, pricing, a specific list of supported journal templates,file format details (other than SVG and high-resolution output), team collaboration features, or data privacy policy, which are not currently provided.
