Turn text into publication-ready scientific figures.

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May 10, 2026

2026 Rank: #832

SciFig

United Kingdom Scientific visualization

584

5.0(3)

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Turn text into publication-ready scientific figures.

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Overview Discussion

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.

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Initial release

May 10, 2026

Initial release of SciFig.

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yecheng xie

@yechengxie

🇬🇧 United Kingdom

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Joined: June 2025

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Refunds are only available for first-time paid subscriptions if requested within 7 days and with less than 10% of credits used

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Scientific visualization SciFig

United Kingdom Scientific visualization

584

5.0(3)

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Image upscaling61 0 Image editing341 0 Image enhancement12 0 Sketch to image23 0 SVG illustrations16 0 Educational illustrations3 0 Pdf to image1 0

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Pros and 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

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

View 40 more pros

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

Unknown handling of complex edits

Response time for regeneration unclear

View 5 more cons

Q&A

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.

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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.

Do I need to rely on external graphics software while using SciFig?

No, SciFig eliminates the need for external graphics software. It allows users to fine-tune every shape, color, and label in the figure directly in its built-in vector editor.

Are undo/redo functions available in SciFig?

Yes, undo/redo functions are readily accessible in SciFig for making easy alterations.

Can I regenerate a selected region in SciFig?

Yes, in SciFig, you can select a region in the figure and regenerate it using a text prompt.

What does SciFig mean by vectorizing figures?

Vectorizing figures in SciFig refers to the process of converting raster graphics into vector graphics. This keeps the details of the figures editable post-generation.

Can I enhance the figures generated by SciFig?

Yes, SciFig provides tools to enhance figures after they have been generated. This includes regenerating selected regions, editing text, and vectorizing the figure.

What control do I have over the figures created by SciFig?

Users have extensive control over the figures created by SciFig. They can not only edit and enhance the figures but also export them in different formats, giving them the flexibility to fine-tune every shape, color, and label.

Are the results from SciFig suited for different publication requirements?

Yes, SciFig caters to different publication needs, making it a viable tool for creating figures for journal papers, slides, posters, and routine figure works.

What are the 'Figure Tools' offered by SciFig?

Figure Tools in SciFig include Text-to-Figure, Figure Enhancer, Sketch-to-Figure, Reference-to-Figure, PDF-to-Figure, and Photo-to-Figure tools.

What is SciFig?

SciFig is an AI-powered scientific figure generator specifically built for researchers, educators, PhD students, and R&D teams. It assists in transforming a variety of inputs like text prompts, hand-drawn sketches, images, research PDFs, or lab photos into publication-ready scientific figures. Apart from conventional AI image generators, SciFig offers editable scientific figures that allow the users to manipulate every shape, label, arrow, and color within a built-in vector canvas.

How does SciFig work?

SciFig functions in three core stages. In the 'Generate' phase, the user inputs text, a sketch, a reference, a PDF, or a photo and the AI creates a figure in one of six available publication styles. In the 'Enhance' stage, every detail of the generated figure remains fully editable, with users able to refine and edit the text's content, font, size or position directly, select a region, and regenerate it with a natural-language prompt, or use a PDF for context for smarter edits. Finally, in the 'Vectorize' phase, the user exports the figure as an editable PPTX, layered SVG, or 8K PNG/JPG file. The figure remains fully editable on SciFig's built-in vector canvas.

What are the key features of SciFig?

Key features of SciFig include multiple input conversion types (text, sketch, reference, PDF, photo), a built-in canvas for vector editing, and three purpose-tuned image models for specific figure types. It also includes an Enhance feature for refining generated figures, auto-style overlays based on user's input, editable output for any generated figure, precision region inpainting, 8K image upscaling, and export as editable PPTX, layered SVG, or 8K PNG / JPG files.

Which AI models are integrated into SciFig?

SciFig utilizes the power of three AI models: GPT Image 2, Nano Banana Pro, and Nano Banana 2. Each of these models is purpose-tuned to serve different types of figure work across various disciplines of scientific research.

What types of inputs does SciFig accept to generate figures?

SciFig accepts a wide range of inputs to generate figures. These include text, hand-drawn sketches, reference images, research PDFs, and photos taken in the lab.

How can I edit the generated figures in SciFig?

The generated figures in SciFig are fully editable. Users can change any text's content, font, size, or position directly. Each element of the figure can be fine-tuned within SciFig's built-in canvas, which offers full undo/redo functionality.

How can I regenerate certain regions of the generated figures in SciFig?

To regenerate certain regions of the generated figures in SciFig, users simply need to select that area and issue a natural-language prompt for regeneration. This allows for refining the figures without having to start from scratch.

Can I upscale the quality of images in SciFig?

Yes, SciFig offers a unique image upscaling feature which can escalate the quality of the generated figures up to 8K resolution. This emerges essential when higher quality print or presentation is needed.

What are the export options available in SciFig?

In SciFig, figures can be exported as editable PPTX files or layered SVG formats for fine details. There is also an option to export figures in an 8K PNG or JPG form, removing the need for any Adobe Illustrator or Inkscape roundtrip.

Can SciFig generate figures from a research PDF?

Yes, SciFig is capable of converting research PDF into scientific figures. It can intelligently interpret and extract visual elements from a PDF and transform them into a comprehensive scientific figure.

Can SciFig convert hand-drawn sketches into scientific figures?

Indeed, SciFig has a feature that allows for the conversion of hand-drawn sketches into scientific figures. The AI is designed to intelligently comprehend the sketches and translate them into more refined, editable, publication-ready figures.

What disciplines is SciFig designed for?

SciFig is designed for use across a vast array of scientific disciplines, including but not limited to biology, chemistry, physics, engineering, computer science, energy, ecology, bioengineering, and astronomy.

How does the Auto-Style Overlay feature in SciFig work?

The Auto-Style Overlay feature in SciFig works along the lines of the user's prompt. It automatically applies style changes to the generated figure based on the details provided in the prompt, creating figures in six publication styles including scientific, line, 3D, editorial, sketch, or watercolor.

Can I retouch the text for generated figures in SciFig?

Absolutely. In SciFig, every aspect of generated figures remains editable, including the text. Users can easily click on any label to retype or alter its properties such as font, size, or position according to their preference.

Does SciFig have an inbuilt canvas for editing?

Yes, SciFig has an inbuilt canvass that allows users to adjust every detail of the generated figures. This offers a space where the shape, color, and label of the scientific figures can be fine-tuned with full undo/redo command options.

Why is SciFig better than other AI image generators?

SciFig sets itself apart from other AI image generators with its ability to maintain everything editable after generation. It's use of AI models specifically tuned for scientific figure processing are more apt in scientific context. Also, unlike others that produce flat, unusable pixels, SciFig can generate and export figures in high resolution up to 8K. It also provides editable PPTX, layered SVG without requiring roundtrips.

What is the role of GPT Image 2, Nano Banana Pro, and Nano Banana 2 in SciFig?

In SciFig, each of the AI models GPT Image 2, Nano Banana Pro, and Nano Banana 2, has a defined role. GPT Image 2 is the default model best suited for journal submissions. Nano Banana Pro works best for slides and posters owing to its editorial-style speciality, and Nano Banana 2 is practical for routine figure works balancing speed and quality.

Can SciFig convert lab photos into scientific figures?

Yes, SciFig can convert lab photos into scientific figures. The AI integrates the visual images from the photos and constructs a comprehensive scientific figure out of them, which can be further fine-tuned and edited in the built-in canvas.

How does SciFig help with publication of scientific research?

SciFig greatly aids in the publication process of scientific research by transforming a diverse range of inputs into clear, precise and publication-ready scientific figures. By supplying multiple export options, the generated figures can be directly used in research papers, presentations, or posters without compromising the scientific grade and visual appeal of the output.

What are the six publication styles available in SciFig?

SciFig offers six publication styles to choose from, these include: Scientific, Line, 3D, Editorial, Sketch, and Watercolor. Users can select the style that best suits their need or let the Auto mode follow the prompt alone.

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