Free Text to Figure AI Generator for Scientific Illustrations

In SciFig, text to figure means generating a scientific illustration from a written description instead of drawing it by hand. You describe the structures, their arrangement, and the labels, and the AI produces the image. The scientific figure then opens in SciFig AI Illustration, where every label, arrow and color can be changed as needed and the figure can be converted to editable SVG.

Name the subject, list every component with the exact label you want, describe how the elements connect, and state the layout, such as left to right, top to bottom, or a cross-section. Mention anything to leave out, such as numbers or decorative text. Concrete descriptions work better than long narratives, and SciFig's AI Enhance can expand a brief note into a fuller prompt before you generate.

Yes. SciFig's text to figure AI is free to start, no card required: 150 credits on day one (3 figures), daily check-in credits that grow with your streak (up to 150 a day) — up to about 44 figures in your first month. Invite a friend and you both get 200 more credits. Free accounts generate with GPT Image 2 at 50 credits per figure. SciFig's paid plans add six models priced at 50, 75 or 100 credits per generation, 4K upscaling on Starter and higher plans (2K on every plan), and paid credits that never expire, with annual Starter at $100 a year ($8.33/month). See the SciFig pricing page for current plans.

SciFig's text to figure generator offers six image models, including GPT Image 2 (the default), Nano Banana Pro and GPT Image 2.5. You select the model, aspect ratio, and style before generating, and you can compare results from another model when a complex layout needs a second attempt.

Yes. SciFig AI Illustration opens the result in its workspace, where you can request changes conversationally, use Region Redraw (powered by Nano Banana Pro) to regenerate only a selected area, or correct the text in the image. You can also convert it to editable SVG with Edit in Canvas, and export SVG, PNG, JPG or PPTX.

For a chart of measurements, SciFig DataChart (data-driven charts) generates the chart precisely from your original table: Python calculates and plots every value from that file, and you can adjust the column mappings and statistical settings. SciFig AI Illustration then handles the separate mechanism or concept panel, so text to scientific figure generation and your data plots work side by side.

Yes. SciFig figures can be used in journal papers, and SciFig's free one-page publication license PDF covers publication and commercial use. Many journals ask authors to describe how a figure was prepared: SciFig DataChart (data-driven charts) uses AI to plan the chart and write plotting code, then Python calculates and plots from your data; SciFig FlowChart (flowcharts and diagrams) uses AI to create editable SVG diagrams; SciFig AI Illustration (AI scientific illustration) uses AI image generation. Your target journal's AI policy is a useful reference for wording that disclosure.

This page focuses on SciFig AI Illustration for pictorial scientific illustrations: cells, organisms, tissues, laboratory apparatus, and material structures. For node-and-arrow layouts such as flowcharts or concept maps, SciFig's text to diagram tool is a closer fit, and SciFig FlowChart (flowcharts and diagrams) generates them as native SVG you can edit box by box. Both start from a written description, so choose by whether your figure depicts physical objects or abstract connections.