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在找LiteParse V1吗？点击这个链接可以查看旧代码

LiteParse 是一款独立的 OSS PDF 解析工具，专注于快速且轻量的解析。它提供高质量的空间文本解析，带有边界框，无需专有的大型语言模型（LLM）特性或云依赖。所有程序都运行在您的机器上本地运行。

本地解析的极限？ 对于复杂文档（密集表格、多列布局、图表、手写文本，或 扫描PDF），你用LlamaParse会得到更好的结果， 我们为生产文档流水线构建的基于云的文档解析器。LlamaParse 负责处理 做一些硬的，让你的模型看到干净、结构化的数据和Markdown。

免费注册 LlamaParse

概述

• 快速文本解析：使用PDFium进行空间文本解析，每页约2-5毫秒
• 灵活的OCR系统：
• 内置：Tesseract（零设置，随库捆绑）
• HTTP 服务器：插入任意 OCR 服务器（EasyOCR、PaddleOCR、自定义）
• 标准API：简单且定义清晰的OCR API规范

LiteParse

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Looking for LiteParse V1? Follow this link to the old code

LiteParse is a standalone OSS PDF parsing tool focused exclusively on fast and light parsing. It provides high-quality spatial text parsing with bounding boxes, without proprietary LLM features or cloud dependencies. Everything runs locally on your machine.

Hitting the limits of local parsing? For complex documents (dense tables, multi-column layouts, charts, handwritten text, or scanned PDFs), you’ll get significantly better results with LlamaParse, our cloud-based document parser built for production document pipelines. LlamaParse handles the hard stuff so your models see clean, structured data and markdown.

Sign up for LlamaParse free

Overview

• Fast Text Parsing: Spatial text parsing using PDFium, ~2-5ms per page
• Flexible OCR System:
  • Built-in: Tesseract (zero setup, bundled with the library)
  • HTTP Servers: Plug in any OCR server (EasyOCR, PaddleOCR, custom)
  • Standard API: Simple, well-defined OCR API specification
• Complexity Detection: Cheaply check whether a document needs OCR or heavier parsing — route, reject, or estimate cost before a full parse
• Screenshot Generation: Generate high-quality page screenshots for LLM agents
• Multiple Output Formats: Markdown, JSON, and Text
• Markdown Output: Structured Markdown with headings, tables, lists, images, and links — great for feeding LLMs and RAG pipelines
• Bounding Boxes: Precise text positioning information
• Multi-language: Use from Rust, Node.js/TypeScript, Python, or the browser (WASM)