Scientific visualization 2026 Rank: #1035

SciFig ✓

Turn text into publication-ready scientific figures.

Source rating 5.0 (3) 1.2k views 12 saves Freemium
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Verdict

A quick read before you dig into the full page.

Best if
Turn text into publication-ready scientific figures
Skip if
Potential learning curve
Pick this when
Generates science-grade figures

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Overview

SciFig is an AI-powered tool designed to facilitate researchers in generating publication-ready scientific figures. The tool creates figures by transforming various types of input, such as text, sketches, references, PDFs, or photos.

Utilising special models like GPT Image 2 for journal submissions, Nano Banana Pro for slides and posters, and Nano Banana 2 for routine tasks, SciFig accurately serves different types of figure work.

This tool maintains quality balances concerning speed and accuracy for everyday routine figures preparation. SciFig also has an auto mode to accommodate the style overlay based on your prompt, creating figures in six publication styles, including Scientific, line, 3D, editorial, sketch, or watercolor.

SciFig provides an enhance feature that allows users to refine details without starting over. All generated figures remain editable after generation, and users can change any text's content, font, size or position.

Users can generate figures more efficiently by selecting a region and regenerating it with a natural-language prompt, or feeding a PDF for smarter edits.

With SciFig, you can export figures as editable PPTX or layered SVG. Furthermore, it has a built-in canvas where researchers can fine tune every shape, color, and label of the figures with full undo/redo options available.

This makes it a comprehensive tool for creating scientific figures.

SciFig website

Access & connections

Where you can use SciFig.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular
  • Image
  • Text

Output

  • Code
  • Tabular
  • Image

Supported features

  • Image Generation
  • Image Edit
  • Visual Creation
  • Styling

Pros & cons

Pros

  • Generates science-grade figures
  • Editable shapes, labels, arrows
  • Built-in vector canvas
  • No full re-render needed
  • Export to PPTX, SVG, PNG
  • Can inpaint or upscale
  • Use text prompts as input
  • Use hand-drawn sketches as input
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  • Use reference images as input
  • Use research PDFs as input
  • Use lab photos as input
  • Purpose-tuned image models
  • 200 free credits on signup
  • Turns text into scientific figures
  • Helps in data visualization
  • Transforms sketches to figures
  • Interprets references into figures
  • PDF editing capability
  • Auto-style overlay
  • Editable output
  • Customized figures
  • Canvas editing
  • Different types of figure work
  • Quality balances speed and accuracy
  • Accommodates style overlay
  • Enhance features to refine details
  • Generates figures through region selection
  • Smarter edits by feeding PDF
  • Layered SVG export
  • Undo/redo options available
  • Exports to 8K PNG / JPG
  • Six Input modes
  • Six publication styles
  • Precision region inpaint
  • Multimodal enhance
  • 8K upscaling
  • Click to retype label
  • Circle region to regenerate
  • Engineered for top journals
  • Auto mode for style selection
  • Multiple export formats
  • Supports multimodal input
  • Content-aware label generation
  • PDF as context for edits
  • Figure Generation Model customizability

Cons

  • Limited free credits
  • Dependent on three models
  • Lacks support for older formats
  • No dedicated mobile app
  • Potential learning curve
  • Limited to 11+ disciplines
  • Needs constant internet connection
  • No options for collaboration
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  • Unknown handling of complex edits
  • Response time for regeneration unclear

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Releases 1

Initial release May 10, 2026 Current
Initial release of SciFig.

FAQ 12

What is SciFig?
SciFig is an AI-driven tool that was created to assist researchers in generating scientific figures for their publishing needs. It offers a platform for altering various types of inputs into publication-ready scientific figures.
How does SciFig work to create scientific figures?
SciFig works by transforming inputs, such as text, sketches, references, PDFs, and photos, into figures. These figures can be created using different built-in models, which execute specific tasks. Once the figure has been generated, users can enhance and vectorize it using SciFig's tools. Further enhancement can be done by regenerating a selected region with a text prompt.
What types of inputs does SciFig accept?
SciFig can accept a variety of inputs for figure creation. These include text, sketches, references, PDFs, and photographs.
Are the figures created by SciFig editable?
Yes, the figures created by SciFig are fully editable, both during and after the creation process.
What are the different built-in models in SciFig?
SciFig features different built-in models each developed to carry out specific tasks. These include GPT Image 2 designed for journal papers, Nano Banana Pro used for slides and posters, and Nano Banana 2 suited for routine figure work.
What is the functionality of GPT Image 2 in SciFig?
GPT Image 2 is a built-in model in SciFig that is particularly designed for creating figures for journal papers.
How is Nano Banana Pro used in SciFig?
Nano Banana Pro is a model in SciFig that is specifically created for generating figures for slides and posters.
What is the purpose of Nano Banana 2 in SciFig?
The Nano Banana 2 model in SciFig is designed to carry out routine figure work.
Can I modify the text content, font size, or position in the figures generated by SciFig?
Yes, in SciFig, users can directly modify the text's content, its font size, and position in the figures post-generation.
How does the natural-language prompt feature work in SciFig?
The natural-language prompt feature in SciFig allows users to regenerate a selected area of a figure based on a textual input.
What export options does SciFig provide?
SciFig provides users the option to export figures as editable PPTX or layered SVG formats.
Does SciFig have a built-in vector editor?
Yes, SciFig has a built-in vector editor that allows users to fine-tune every shape, color, and label in the figure.
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