Visual Geometry Compiler (GPT)

At the hFrom geometric specification to visual prompt

In digital imaging, one thing matters more than most people realize: precision in geometric description. The Visual Geometry Compiler, powered by the Geometric Ratio Model (GRM), translates exact geometric specifications into clear, structured prompts for AI image generators such as DALL·E.

Why a geometry compiler?

Generating visually consistent images is difficult when geometry matters, for example in scientific illustrations, technical diagrams, product visuals, or composition-driven artwork. Traditional prompting often relies on subjective language, which leaves room for interpretation and leads to repeated iterations.

The Visual Geometry Compiler addresses this directly. Using GRM logic, it converts geometric structure into practical instructions, improving proportional consistency and reducing ambiguity during image generation.

How it works

1. Geometric input
   Start with a structured request based on GRM logic, including shape framing, proportion, symmetry, and positioning.
2. GRM interpretation layer
   The request is interpreted using the GRM unit framework: SAU (area), SPU (perimeter), and SVU (volume).
3. Prompt compilation
   The compiler translates the specification into concise natural language instructions that image generators can follow.

Benefits

• Efficiency: reduces unnecessary prompt iterations
• Consistency: improves proportional and spatial accuracy
• Clarity: turns vague descriptions into structured instruction

Try it out

If you work with AI image generation and care about structure, this compiler provides a more reliable way to prompt.

👉 Explore the GPT-powered Visual Geometry Compiler

Powered by the Geometric Ratio Model (GRM) by M.C.M. van Kroonenburgh, MSc. i-Depot (BOIP) Reference no. 151927.