PDF Intelligence Suite - PDF智能处理套件
中文描述
概述
PDF智能处理套件是一个功能强大的PDF文档处理工具集，提供文本提取、表格识别、OCR文字识别、格式转换等一站式服务。
功能特性
- 📄 文本提取: 从PDF中提取纯文本或结构化文本，支持多种布局分析
- 📊 表格识别: 自动识别PDF中的表格并提取为结构化数据（CSV/Excel）
- 🔍 OCR识别: 对扫描件和图片型PDF进行文字识别，支持多语言
- 🔄 格式转换: PDF转Word、PDF转Excel、PDF转图片等
- ✂️ 页面操作: 合并、拆分、旋转、删除页面
- 🔒 安全处理: 加密、解密、添加水印、数字签名
- 📝 元数据管理: 读取和修改PDF文档属性
技术栈
- PyPDF2: PDF基础操作（合并、拆分、加密等）
- pdfplumber: 高级文本和表格提取，精准定位
- camelot-py: 专业表格识别引擎
- pytesseract: OCR文字识别（需安装Tesseract）
- pdf2image: PDF转图片
- reportlab: PDF生成和编辑
- Pillow: 图像处理
目录结构
pdf-intelligence-suite/
├── SKILL.md # 本文件
├── README.md # 使用文档
├── requirements.txt # 依赖声明
├── setup.py # 安装配置
├── src/
│ └── pdf_intelligence_suite/
│ ├── __init__.py
│ ├── extractor.py # 文本提取模块
│ ├── tables.py # 表格识别模块
│ ├── ocr.py # OCR识别模块
│ ├── converter.py # 格式转换模块
│ ├── manipulator.py # 页面操作模块
│ ├── security.py # 安全处理模块
│ └── utils.py # 工具函数
├── examples/
│ └── basic_usage.py # 使用示例
└── tests/
└── test_pdf_suite.py # 单元测试
快速开始
from pdf_intelligence_suite import PDFExtractor, TableExtractor, OCRProcessor
# 文本提取
extractor = PDFExtractor()
text = extractor.extract_text("document.pdf")
# 表格提取
tables = TableExtractor.extract_tables("report.pdf", output_format="excel")
# OCR识别
ocr = OCRProcessor(lang='chi_sim+eng')
text = ocr.process("scanned.pdf")
安装
pip install -r requirements.txt
# 安装Tesseract OCR引擎（Ubuntu/Debian）
sudo apt-get install tesseract-ocr tesseract-ocr-chi-sim tesseract-ocr-chi-tra
# macOS
brew install tesseract tesseract-lang
# Windows: 下载安装包 https://github.com/UB-Mannheim/tesseract/wiki
English Description
Overview
PDF Intelligence Suite is a powerful PDF document processing toolkit providing one-stop services for text extraction, table recognition, OCR, format conversion, and more.
Features
- 📄 Text Extraction: Extract plain or structured text from PDFs with layout analysis
- 📊 Table Recognition: Automatically detect and extract tables as structured data (CSV/Excel)
- 🔍 OCR Recognition: Recognize text in scanned documents and image-based PDFs, multi-language support
- 🔄 Format Conversion: PDF to Word, PDF to Excel, PDF to images, etc.
- ✂️ Page Operations: Merge, split, rotate, delete pages
- 🔒 Security: Encryption, decryption, watermarking, digital signatures
- 📝 Metadata: Read and modify PDF document properties
Tech Stack
- PyPDF2: Basic PDF operations (merge, split, encrypt, etc.)
- pdfplumber: Advanced text and table extraction with precise positioning
- camelot-py: Professional table recognition engine
- pytesseract: OCR text recognition (requires Tesseract installation)
- pdf2image: PDF to image conversion
- reportlab: PDF generation and editing
- Pillow: Image processing
Quick Start
from pdf_intelligence_suite import PDFExtractor, TableExtractor, OCRProcessor
# Text extraction
extractor = PDFExtractor()
text = extractor.extract_text("document.pdf")
# Table extraction
tables = TableExtractor.extract_tables("report.pdf", output_format="excel")
# OCR recognition
ocr = OCRProcessor(lang='eng')
text = ocr.process("scanned.pdf")
Installation
pip install -r requirements.txt
# Install Tesseract OCR engine (Ubuntu/Debian)
sudo apt-get install tesseract-ocr
# macOS
brew install tesseract
# Windows: Download from https://github.com/UB-Mannheim/tesseract/wiki
License
MIT License
Author
ClawHub Skills Collection
