做 RAG 或文档处理的团队终于有了一个又快又准的开源解析器——LiteParse v2 用 Rust 重写后速度提升 100 倍，还支持 50+ 格式和 WASM 边缘部署，建议直接替换掉 pymupdf 试试。
LlamaIndex 团队推出了 LiteParse v2，一个用 Rust 完全重写的 PDF 解析器，号称是目前最快且最准确的开源无模型解析器。相比 pymupdf、pypdf 等工具，速度提升最高达 100 倍，支持 50 多种文档格式。它提供 Python、Node.js 原生包以及 WASM 版本，可在浏览器和边缘环境运行，还能直接集成到 AI Agent 中使用。项目已在 GitHub 开源，适合需要高效文档解析的 AI 应用开发者。
We've created the world's fastest PDF parser ⚡️ And it's more accurate than any other open-source, ...
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… LlamaIndex 🦙 @llama_index LiteParse v2.0 is out now, and it is blazing fast + runs everywhere! We rewrote everything from scratch in Rust, and now: - up to 100x faster parsing - install natively in Rust, JS/TS, and Python - a custom WASM package enables browser and edge runtime usage pip install liteparse npm i ＠llamaindex/liteparse npm i ＠llamaindex/liteparse-wasm cargo install liteparse Blog: llamaindex.ai/blog/liteparse… Repo: github.com/run-llama/lite… 🔗 View Quoted Tweet 💬 7 🔄 17 ❤️ 159 👀 11411 📊 46 ⚡