Document parsing looks solved until the input is a scanned paper, formula-heavy PDF, or mixed Office file headed into a RAG pipeline. The core value is turning messy human documents into structured machine input.
What Sets It Apart
It handles PDFs, images, DOCX, PPTX, and XLSX, then emits Markdown and JSON aimed at retrieval, extraction, and LLM workflows. Layout analysis, OCR, and post-processing give tables, formulas, and document structure a better chance of surviving conversion.
Who Should Use It
Great fit if your AI workflow depends on complex document ingestion for RAG or data production. Look elsewhere if you need a tiny dependency-free parser or a fully managed SaaS with no local runtime choices.