Beyond being fast, LiteParse is designed to provide highly accurate, semantically coherent text for LLM use. We benchmarked every open-sourc…

Beyond being fast, LiteParse is designed to provide highly accurate, semantically coherent text for LLM use. We benchmarked every open-source, model-free PDF parser on LLM QA tasks - from PyPDF to PyMuPDF to Markitdown. ✅ We ~roughly tied for #1 in accuracy (along with pdftotext, which is decently accurate but a bit slower) ✅ PyMuPDF is the closest to us in term of latency, but we found it struggles in projecting complex text layouts (multi-columns, tables) in formats that LLMs can understand Besides being accurate and #1 in speed, LiteParse is also a general-purpose parser taht supports dozens of other file formats (incl .docx, .pptx, .xlsx), and also supports convenience tools for both OCR and screenshotting. Come check it out! LiteParse: https://github.com/run-llama/liteparse We've created the world's fastest PDF parser ⚡️ And it's more accurate than any other open-source, model-free PDF parser out there (pymupdf, pypdf, markitdown, pdftotext, opendataloader, pymupdf4llm) Introducing LiteParse v2 - we rewrote the entire library into Rust and adapted i…

Source: Jerry Liu (X) | 2026-05-28