Lightweight PDF parser with layout, tables, formulas and bounding boxes

This open-source PDF parser can materially improve enterprise document processing by extracting not just text, but structure, tables, formulas, figures, reading order, and bounding boxes on CPU-only infrastructure. For CIOs and technology leaders, that means lower processing cost, better data quality for search/RAG and analytics, and a stronger privacy/compliance posture because files can stay local and never need to be stored externally. Strategically, it reduces dependence on heavyweight OCR/ML stacks and gives IT teams a simpler way to operationalize unstructured document ingestion across browser, Python, and API workflows.