SciFig

SciFig is an artificial intelligence tool specializing in the creation of publication-ready scientific figures. This software is designed to help researchers and academics transform various types of input—such as sketches, references, PDF files, photographs, or text descriptions—into professional, high-quality technical graphics. Its primary goal is to optimize the workflow for creating visual materials for journal articles, presentations, and scientific posters, ensuring results that meet academic standards.

SciFig operates using specific AI models tailored to different needs. It utilizes GPT Image 2 to generate figures for scientific journal submissions where precision is critical. For creating slides and posters, it employs the Nano Banana Pro model, while Nano Banana 2 handles routine daily tasks, offering an optimal balance between speed and accuracy. Additionally, it features an automatic mode capable of applying visual styles based on prompts, allowing users to choose from six publication styles: scientific, line art, 3D, editorial, sketch, or watercolor.

One of the platform's most notable capabilities is its post-generation editing flexibility. Unlike other AI image generators, SciFig allows for detailed modifications without needing to regenerate the entire image. Users can use the detail enhancement (enhance) feature or select a specific region of the figure to regenerate it using natural language. Furthermore, the tool enables smart editing from a PDF, facilitating precise adjustments to existing technical documents.

The tool includes an integrated vector canvas where every shape, color, and label can be manually adjusted, featuring full undo and redo options. All generated elements are completely editable, allowing users to change text content, font, size, or position at any time from their computer. To ensure compatibility with research workflows, SciFig allows users to export results in professional formats such as layered SVG, editable PPTX for presentations, or PNG files.

• Generation of scientific-grade graphics from multiple input sources.
• Six predefined publication styles to suit different formats.
• Granular figure editing with full control options on a professional canvas.
• Region-specific regeneration for localized adjustments using prompts.
• Export in vector formats and editable presentations for seamless integration into manuscripts.

Thanks to this functional approach, SciFig eliminates the need to master complex design tools, allowing researchers to focus on technical content while the AI handles the aesthetic and structural precision of the figures.