LiteParse v2：最快最准的开源PDF解析器，支持50+格式
做 RAG 或文档处理的团队终于有了一个又快又准的开源选择——LiteParse 在速度和准确率上双杀现有方案，建议做 PDF 解析的开发者直接试。
LlamaIndex 发布了 LiteParse v2，号称是世界上最快的 PDF 解析器，同时保持高精度。团队用 Rust 重写了整个库，并适配为 Python 和 Node 原生包。在 LLM QA 任务基准测试中，LiteParse 与 pdftotext 并列准确率第一，但速度更快；PyMuPDF 延迟接近，但在处理多栏、表格等复杂布局时表现不佳。LiteParse 还支持 50 多种文档格式（包括 .docx、.pptx、.xlsx），并提供 OCR 和截图工具，可直接在 AI Agent 中使用。
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: github.com/run-llama/lite… Jerry Liu @jerryjliu0 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 it as native packages for Python and Node. It supports 50+ different document types, can be triggered directly or installable directly within your favorite AI agent. Blog: llamaindex.ai/blog/liteparse… Repo: github.com/run-llama/lite… 🔗 View Quoted Tweet 💬 0 🔄 1 ❤️ 10 👀 646 📊 2 ⚡
