liteparseLlamaIndex's local document parser in Rust: PDFium text with bounding boxes at ~2-5 ms/page, selective Tesseract or HTTP OCR, Markdown/JSON output, screenshots; Python, Node, WASM.
Why switchBoth are Rust fast paths that extract positioned PDF text and skip OCR when a page does not need it; pdf-inspector triages text versus scanned, LiteParse also runs selective OCR, converts Office files and renders screenshots.
Full comparison → xbergRust-core extraction orchestrator with 15 language bindings: 96 formats — PDF, Office, images, audio, code, web — to clean text, tables and RAG-ready chunks. OCR and structured extraction built in.
Why switchBoth are deterministic Rust document engines with multi-language bindings. xberg goes wide — 96 formats into RAG-ready chunks; pdf-inspector goes deep on one format with classification, confidence scores and OCR routing.
Full comparison → opendataloader-pdfDeterministic PDF parser for AI pipelines: #1 extraction accuracy (0.907) on its public bench, bounding boxes on every element, 0.015s/page — plus the first open PDF auto-tagging for accessibility.
Why switchKindred no-ML philosophy, different depth — pdf-inspector triages and extracts in 200ms; OpenDataLoader does full layout analysis with bounding boxes. Notably, pdf-inspector benchmarks itself on opendataloader-bench: same yardstick, acknowledged rivalry.
Full comparison → MinerUHeavyweight document-to-markdown/JSON parser — PDFs plus Office (docx/pptx/xlsx) through layout analysis and OCR into LLM-ready output for RAG and agentic pipelines. 73k stars, self-hostable.
Why switchSame PDF-to-Markdown slot, opposite weight: MinerU runs full layout analysis and OCR on everything; pdf-inspector is the 200ms no-ML path for documents that don't need it. Many pipelines should front MinerU with exactly this triage.
Full comparison →