SciFig

SciFig is an AI-powered scientific illustration and visualization platform designed to help researchers, students and scientific teams create publication-ready figures. It transforms research descriptions, sketches, existing figures, scientific papers and laboratory photographs into visual diagrams that can be refined and exported for academic publications, presentations and research communication.

The platform is designed to simplify a task that often requires considerable time: turning complex scientific information into clear, structured illustrations. Researchers can use it to create biological pathway diagrams, experimental workflows, molecular mechanisms, graphical abstracts and other scientific visuals. Rather than starting every figure from a blank canvas, users can provide existing material or describe the scientific concept they want to communicate.

SciFig supports several figure-generation workflows. Text-to-Figure allows users to describe a scientific concept in natural language and generate a corresponding illustration. Figure Enhancer helps refine an existing figure, while Sketch-to-Figure converts a rough drawing into a more polished visual. Reference-to-Figure uses an existing figure as a guide, PDF-to-Figure helps users develop figures from scientific documents, and Photo-to-Figure supports workflows based on laboratory or research photographs. Availability of these modes depends on the selected subscription plan.

A major feature of SciFig is its focus on editability. Scientific figures often need repeated revisions after feedback from supervisors, collaborators, reviewers or journal editors. SciFig provides a built-in Canvas workspace for refining generated visuals, including labels, text, colours and graphical elements. This allows users to adjust the figure instead of treating the initial AI-generated image as an unchangeable final result.

The platform also supports exports in several formats, including PNG, JPG, SVG and editable PowerPoint files. Raster images are useful for documents and presentations, while SVG and PowerPoint exports allow further editing in compatible applications. Higher-resolution export options, including 4K and 8K upscaling, are available on eligible paid plans. These options help researchers prepare figures for different publication and presentation requirements.

SciFig can be useful across several scientific disciplines. Biomedical researchers may use it to illustrate cellular processes, experimental designs and biological mechanisms. Chemistry and engineering researchers can use scientific diagrams to explain processes, structures and workflows. Students and educators may use the platform to make complex concepts easier to present, while research teams can use it to create consistent visuals for papers, posters, lectures and grant presentations.

Another useful aspect is the ability to start from different kinds of source material. Researchers may have a rough sketch, an existing illustration that needs improvement, a PDF containing a relevant scientific concept or a photograph from a laboratory experiment. SciFig offers different workflows for these inputs, reducing the need to recreate every visual manually. The result still needs to be checked against the underlying scientific evidence, particularly when it contains technical labels, molecular structures, measurements or other details where accuracy is essential.

The platform uses a credit-based system. Users can try selected features through a free plan, while paid subscriptions provide larger monthly credit allowances, additional generation modes, more storage and enhanced export capabilities. The free tier is intended for evaluation and does not include the full publication and commercial rights provided by paid plans. Researchers should therefore review the licensing terms before using free-tier figures in published papers or commercial material.

SciFig is a browser-based service, making it accessible without installing a dedicated desktop illustration application. Its combination of AI-assisted generation, editable figures and multiple export formats can reduce repetitive design work and help users develop visual explanations more efficiently. However, AI-generated figures are not automatically scientifically accurate. Researchers should verify terminology, labels, pathways, structures and experimental details before incorporating an illustration into formal research.

Overall, SciFig is intended for users who need scientific visuals that are both easier to create and possible to refine after generation. Its range of input methods, built-in editing workspace and publication-oriented exports make it a useful option for scientific illustration, research communication and academic presentation design.

Pricing

SciFig offers a free entry-level experience alongside paid subscriptions for premium scientific illustration features, templates and assets. The product is primarily a Windows desktop application that works inside compatible presentation software, rather than the separate browser-based AI scientific figure generator offered under a similar name.

• Free access: Basic access and selected features may be available, subject to account and usage limits.

• Paid subscription: Premium features, templates and illustration assets are available through subscription plans.

• Subscription pricing: Exact current prices could not be reliably confirmed.

• Institutional or team use: Check with the provider for applicable licensing and subscription options.

Pricing Note: Pricing and feature access may vary by subscription. Confirm the current price and usage rights before purchasing, especially if figures will be used in academic publications or commercial work.

Review

SciFig is a specialised scientific illustration tool aimed at researchers, students and professionals who frequently create diagrams and presentation graphics. Its integration with PowerPoint and WPS Office is a practical advantage for users who already prepare academic presentations in those applications. Instead of switching between multiple design programs, users can access scientific illustration resources within a familiar workflow.

One of the product’s strongest features is its collection of scientific assets. Researchers can use ready-made elements to assemble diagrams, explain experimental procedures and prepare visuals for academic presentations. The availability of templates and coordinated colour palettes can also help users create more consistent figures without spending excessive time aligning shapes and adjusting visual styles.

The built-in image-editing features add further value. Background removal and other image-processing tools can help users prepare graphics for presentations and research materials. These capabilities are particularly useful when combining scientific illustrations, photographs and explanatory diagrams in one document.

However, SciFig’s Windows-only compatibility limits its accessibility for Mac users. Its dependence on compatible versions of Microsoft Office or WPS Office also means that users should check system requirements before installing it. Some premium assets and features require a paid subscription, and users need to review licensing conditions before publishing or redistributing work that incorporates third-party illustration materials.

SciFig is worth considering for researchers who regularly create scientific diagrams and academic presentations on Windows. Its built-in asset library and presentation-software integration can streamline figure creation, although operating-system limitations and subscription restrictions may affect some users.