Private Document AI with OpenVINO

Turn local PDFs, invoices, screenshots, and diagrams into one of two useful outcomes:

1. to-data: classify the document and extract structured fields, tables, and JSON, including user-requested key fields.
2. to-code: turn screenshots, forms, and architecture diagrams into code or Jupyter notebook scaffolds.

Everything runs locally and is built for Intel CPU/GPU acceleration with OpenVINO GenAI. The default device is CPU for workshop stability. Set MINERU_OPENVINO_DEVICE=GPU or AUTO only after validating the target AI PC.

The default user experience is app-like:

• the first call auto-starts a local service
• HTTP/FastAPI service is preferred when available
• the standard-library IPC service is used as a fallback
• direct CLI parsing remains available with --no-server
• the model stays resident after warmup so later calls avoid repeat model loading

The default runtime path in this release is: