What website is this?
SciFig is an online AI tool for creating scientific figures. It turns written descriptions, sketches, reference images, PDFs, or lab photos into scientific visuals that can be further edited. Its focus is not only on generating an initial draft, but also on adjusting labels, elements, and layouts in a canvas. It is better suited to quickly organizing mechanism diagrams, workflow diagrams, or research presentation figures than to replacing data analysis or experimental validation.
Key Features
- Generates scientific figures from written descriptions, with scientific, line-art, 3D, and other visual styles, plus an automatic mode.
- Uses sketches, reference images, PDFs, and photos as inputs to generate or revise figure drafts.
- Lets users change text content, fonts, sizes, and positions in generated results, then adjust figure elements in the built-in Canvas.
- Exports figures as PNG, JPG, layered SVG, or editable PPTX; available formats and resolution depend on the selected plan.
Use Cases
- A graduate student writing a paper or preparing a lab meeting turns a written experimental mechanism into a first-draft figure, then checks the terminology, arrows, and causal relationships.
- A lab member with only a hand-drawn process sketch or an instrument photo uploads the source material to create a cleaner diagram for discussing an experimental workflow or making a presentation.
- When reviewer feedback calls for changes to labels, colors, or layout, an author continues editing in SciFig's Canvas or an exported file instead of redrawing the entire figure.
- A researcher preparing a proposal or report uses a PDF as context to create a concept-figure draft, then verifies each statement against the source material.
Who is it for?
- Graduate students, postdoctoral researchers, and scientists creating mechanism diagrams, method workflows, or research presentation figures.
- Lab members who want to turn hand-drawn or existing reference material into editable visuals before performing a human review.
- Paper authors and report creators who need editable files for repeated label and layout revisions.
- It may not be a match for users who need direct analysis of raw research data, automatic guarantees of scientific correctness, or only human professional illustration services.
How It Compares to Similar Tools?
SciFig focuses on generating figures from several kinds of research material, followed by text, element, and export-file editing. Compared with tools that generate images only from prompts, it places more emphasis on post-generation revision. Compared with scientific drawing tools centered on manually assembling components, it adds starting paths from sketches, reference images, PDFs, and photos. If fully controlled manual layout matters most, compare editing granularity and export formats; if a figure draft needs to be created quickly from existing research material, focus on input methods and the editing workflow.
FAQs
Q: Can I use SciFig for free?
A: SciFig offers a free plan for trying parts of the basic generation and enhancement workflow. Its pages also state that some advanced input methods, editable vector export, PPTX export, and higher-resolution processing are tied to paid plans or credits. Check the current pricing page before use.
Q: Can I edit a scientific figure generated by SciFig?
A: Users can change text in the result editing flow and make element-level adjustments in the built-in Canvas. The website also lists layered SVG and editable PPTX as export options, although availability varies by plan. Researchers should still verify the terminology, structure, and scientific statements in every generated figure.
Q: Is SciFig suitable for making figures from paper PDFs?
A: The website lists PDF-to-Figure as an input method, allowing a PDF to provide context while generating or revising a figure. It is more appropriate for creating a concept-figure draft. Research conclusions, data relationships, and citations should still be checked against the original document instead of treating generated output as source evidence.
