ynu-papergraphgeneration-qclawv1.1.0

A researcher needs to generate a high-quality architecture diagram for a CVPR submission. They provide the paper content and request a single figure with a specific style preset, receiving a LaTeX-ready output.

An author wants to identify all potential figures in a long manuscript. The system scans the entire paper, ranks candidates by priority, and allows batch generation after user selection.

A machine learning engineer needs a flowchart to explain a complex algorithm in a technical report. They input the algorithm description and paper content, and the system generates a Mermaid-based flowchart.

A PhD student wants to create comparison charts for experimental results to include in a presentation. They use the results figure type to generate matplotlib-based bar or line charts with precise data.

A professor needs a clean system architecture diagram for a funding application. They specify the architecture figure type and nature style preset to produce an elegant, high-clarity diagram.

Offer tiered monthly subscriptions (e.g., basic, pro, enterprise) for individual researchers, labs, or institutions. Revenue from recurring fees based on usage limits (number of diagrams per month).

Integrate with platforms like Overleaf or arXiv to offer on-demand diagram generation. Users pay per diagram generated, with discounts for bulk orders. Revenue from transaction fees.

License the engine to academic publishers (e.g., IEEE, Springer) as a white-label tool for their authors. Revenue from annual licensing fees and per-author usage fees.