2026 最佳 AI 文档处理工具推荐
OCR 引擎、PDF 解析器、文档理解和数据提取流水线。将非结构化文档转化为结构化、可搜索的数据。
MinerU — Extract LLM-Ready Data from Any Document
Convert PDFs, scans, and complex documents into clean Markdown or JSON for RAG and LLM pipelines. 57K+ GitHub stars.
Unstructured — Document ETL for LLM Pipelines
Extract clean data from PDFs, DOCX, HTML, images, and emails for RAG and LLM ingestion. 14K+ GitHub stars.
Claude Official Skill: PDF — Read, Create & Edit PDFs
Claude Code skill for PDF files. Read content, extract data, create new PDFs, merge documents, and convert formats. Activates automatically.
Zerox — Zero-Shot PDF OCR for AI Pipelines
Extract text from any PDF using vision models as OCR. Zerox converts PDF pages to images then uses GPT-4o or Claude to extract clean markdown without training.
Kreuzberg — Polyglot Document Intelligence Framework with a Rust Core
An open-source document extraction framework that pulls text, metadata, images, and structured data from PDFs, Office files, images, and 97+ formats, with bindings for 11 programming languages.
OpenDataLoader PDF — AI-Ready Document Parser
An open-source PDF parser that automates document accessibility and extracts structured, AI-ready data including tables, text, bounding boxes, and tagged content.
DeepSeek-OCR — High-Accuracy Optical Context Compression
An OCR model and toolkit from DeepSeek AI that extracts text from images and documents with high accuracy, designed for feeding structured content into LLM pipelines.
LiteParse — Fast Open-Source Document Parser in Rust
A fast, helpful, and open-source document parser by LlamaIndex that extracts structured text from PDFs and other documents with high speed and accuracy for RAG and AI pipelines.
Surya — Document OCR for 90+ Languages
Surya is a document OCR toolkit with 19.5K+ GitHub stars. Text recognition in 90+ languages, layout analysis, table detection, reading order, and LaTeX OCR. Benchmarks favorably against cloud OCR serv
Paperless-ngx — Self-Hosted Document Management with OCR
Paperless-ngx is an open-source document management system that scans, OCRs, indexes, and archives all your physical and digital documents for full-text search.
RAGFlow — Deep Document Understanding RAG Engine
Open-source RAG engine with deep document understanding. Parses complex PDFs, tables, images. Agent-powered Q&A with citations. Multi-model. 77K+ stars.
MarkItDown — Convert Any File to Markdown for LLMs
Python library by Microsoft that converts PDF, DOCX, PPTX, XLSX, images, audio, and HTML to clean Markdown. Perfect for feeding documents into LLM context windows. 8,000+ stars.
Kotaemon — Open-Source RAG Document Chat
Clean, open-source RAG tool for chatting with your documents. Supports PDF, DOCX, web pages. Multi-model, citation, and multi-user. Self-hostable. 25K+ stars.
Stirling PDF — Self-Hosted PDF Editor & Toolkit
Stirling PDF is the #1 open-source PDF tool on GitHub. Merge, split, convert, compress, OCR, sign, and edit PDFs — all self-hosted with no data leaving your server.
Documenso — Open Source Document Signing Platform
Documenso is an open-source DocuSign alternative for self-hosted document signing with PDF e-signatures, audit trails, and Next.js stack.
MarkItDown — Convert Any Document to Markdown
Microsoft's Python tool to convert Office docs, PDFs, images, audio, and HTML to clean Markdown for LLM pipelines. Also available as MCP server.
Docling — Document Parsing for AI
IBM document parsing library. Converts PDFs, DOCX, PPTX, images, and HTML into structured markdown or JSON. Built for RAG pipelines and LLM ingestion.
Tesseract OCR — Open Source Text Recognition Engine for 100+ Languages
Tesseract is an open-source OCR engine maintained by Google, supporting over 100 languages. It converts images and scanned documents into machine-readable text with high accuracy across multiple output formats.
BentoPDF — Privacy-First Self-Hosted PDF Toolkit
BentoPDF is a self-hosted web application that provides a comprehensive set of PDF tools including merging, splitting, converting, and OCR without sending files to external services.
Gotenberg — API-Driven Document Conversion and PDF Generation Server
Docker-powered API server for converting HTML, Markdown, Office documents, and URLs into PDFs using Chromium and LibreOffice.
Pandoc — Universal Document Format Converter
Pandoc is a universal document converter that reads and writes dozens of markup formats. It converts between Markdown, LaTeX, HTML, DOCX, EPUB, PDF, and many more with a single command.
Claude Office Skills — Docs/PDF/Sheets Skill Set
A curated repo of office-focused skills (docs, PDF, spreadsheets) and an Office MCP server; copy skills into Claude Code to standardize document workflows.
KOReader — Document Viewer for E-Ink Devices and Beyond
KOReader is a free, open-source document viewer optimized for e-ink readers like Kindle, Kobo, and PocketBook. It supports PDF, EPUB, DJVU, and many other formats with fine-grained rendering controls.
PaddleOCR — AI-Powered OCR Toolkit for 100+ Languages
A lightweight, production-ready OCR system supporting 100+ languages. Bridges documents and images to structured data for LLM pipelines.
Nougat — Neural Optical Understanding for Academic Documents
Nougat is a visual transformer model from Meta that converts academic PDF pages into structured Markdown, accurately preserving mathematical equations, tables, and text formatting.
React PDF — Display PDF Documents in React Applications
A React component library for rendering PDF files in the browser using Mozilla pdf.js, with support for pagination, zoom, text selection, and annotations.
jsPDF — Generate PDF Documents in JavaScript
A client-side JavaScript library for generating PDF documents programmatically in the browser and Node.js.
Grimmory — Self-Hosted eBook and Comics Library Server
Grimmory is a self-hosted digital library server for managing and reading eBooks, comics, and documents. It supports EPUB, PDF, CBR, CBZ, and MOBI formats with metadata management, OPDS feeds, and a responsive web reader.
pdfmake — Client-Server PDF Generation for JavaScript
Create complex PDF documents in the browser or Node.js using a declarative document-definition object.
Chandra — OCR Model for Complex Tables, Forms, and Handwriting
High-accuracy OCR model that handles structured documents with complex tables, nested forms, and handwritten annotations while preserving full layout fidelity.
AI 文档智能
AI Document Intelligence
AI document processing has leapfrogged traditional OCR. Modern tools don't just recognize characters — they understand document layout, hierarchy, tables, and semantic structure. OCR & Text Extraction — Surya delivers state-of-the-art multilingual OCR with layout detection. Marker converts PDFs to clean Markdown preserving structure. MinerU handles complex scientific papers with equations and diagrams.
Document ETL — DocETL and Unstructured build production pipelines that ingest PDFs, Word docs, scanned images, and HTML into normalized, chunked output ready for RAG or database storage. Translation & Accessibility — PDFMathTranslate preserves mathematical notation while translating academic papers across 100+ languages.
Knowledge Extraction — RAGFlow and Kotaemon combine document parsing with retrieval, letting you ask natural language questions over your document collection with source citations. MarkItDown converts any Office format to Markdown for AI processing.
The world's knowledge is trapped in PDFs — AI document tools are the key that unlocks it.
常见问题
What is the best AI tool for extracting text from PDFs?+
For general PDFs: Marker converts to clean Markdown with excellent layout preservation. For scanned documents: Surya OCR handles 90+ languages with superior accuracy on complex layouts. For scientific papers: MinerU specializes in equations, tables, and figure extraction. For production pipelines: Unstructured and DocETL provide end-to-end document processing with chunking and metadata extraction.
Can AI extract tables from PDFs accurately?+
Yes. Modern tools like Surya, Marker, and MinerU use vision models that understand table structure — headers, merged cells, spanning rows — not just grid lines. Accuracy exceeds 95% on well-formatted tables. For complex or inconsistent tables, combining multiple tools (OCR + layout detection + LLM post-processing) produces the best results.
How do I process thousands of documents with AI?+
Use pipeline tools like DocETL or Unstructured that handle batching, parallel processing, and error recovery. They normalize different formats (PDF, DOCX, images, HTML) into a single output format, extract metadata, chunk content for RAG, and store results in your database or vector store. TokRepo hosts pre-configured pipeline configs for common document processing workflows.