figure-spec

To generate deterministic SVG architecture diagrams from JSON, provide a structured FigureSpec JSON file to the renderer. The same JSON input consistently yields the exact same SVG output, eliminating visual inconsistencies common in hand-drawn or AI-generated artwork.

The best way to create publication-ready vector graphics for system topology is using a schema-driven JSON specification that renders into editable SVG. This approach guarantees deterministic output with shape-aware geometry, ensuring arrows land cleanly on node boundaries.

Yes, you can render workflow pipeline diagrams with multi-line CJK text labels. The renderer supports consistent line-breaking behavior for Chinese, Japanese, and Korean text, ensuring complex pipeline figures maintain publication quality.

Yes, deterministic SVG diagram generation from JSON requires local dependencies including python3, rsvg-convert, and cairosvg. These tools facilitate the resolved local rendering and schema validation needed to produce editable vector output.

You validate structured JSON specifications before rendering process pipelines using the integrated renderer-side validator and schema documentation. This mechanism catches malformed FigureSpec files early, preventing rendering errors in your pipeline diagrams.

AI-generated workflow diagrams look inconsistent across multiple renders due to non-deterministic generation processes. Using a validated JSON-to-SVG schema renderer ensures the same input specification deterministically yields identical, editable vector graphics every time.