figure-spec

Generating deterministic architecture diagrams for academic publications requires rendering structured JSON specs into consistent SVG outputs, ensuring identical inputs always produce identical diagrams for reliable revisions and collaboration.

Yes, creating editable SVG diagrams from JSON produces plain-text outputs that can be manually tweaked after generation, allowing direct adjustments to labels, colors, or layouts to meet journal and conference formatting requirements.

Building workflow diagrams with precise node positioning and semantic connections is achieved by defining components and connections in a structured JSON specification, which a local renderer processes with schema validation and input sanitization.

Deterministic SVG rendering supports multilingual labels by accurately estimating widths for CJK text, and applies shape-aware edge clipping to correctly clip edges to node boundaries for shapes like rect, rounded, circle, ellipse, and diamond.

Generating publication-quality pipeline diagrams requires no external API dependencies, as the rendering process uses a local Python renderer that enforces schema validation and input sanitization to produce valid, editable SVG files.

JSON-to-SVG rendering should be used instead of AI-generated illustrative figures when consistency and editability are required, because AI-generated figures lack the determinism needed for formal publications where fine-tuning is necessary.