Lecture 13: PDF Intelligent Processing Skill Development

Master PDF document automated processing skills, achieve content extraction, format conversion, merge and split operations, make PDF processing no longer tedious.

1. Scenario Analysis

1.1 User Pain Points

PDF is one of the most commonly used document formats in office work, but processing is often troublesome:

• Difficult content extraction: PDF has fixed format, cannot be directly copied and edited, need special tools to extract text
• Complex format conversion: PDF to Word/Excel often has layout mess
• Tedious merge and split: Multiple PDFs need to be merged, or one large PDF needs to be split into several small files
• Inefficient batch processing: Hundreds of PDFs need uniform watermark or encryption, manual operation is unrealistic
• Inconvenient information search: Searching specific content among large numbers of PDFs is inefficient

1.2 Typical Application Scenarios

Scenario	Requirements	Skill Value
Contract Management	Batch extract contract key info (amount, date, terms)	Automated information extraction
Invoice Processing	Recognize invoice PDF content, enter financial system	OCR + data extraction
Report Merge	Merge multiple department reports into one complete document	One-click merge
Document Archiving	Split scanned documents by rules, classified storage	Intelligent split archiving
Content Review	Check PDFs for sensitive information	Auto scan and mark

2. Core Function Design

2.1 Skill Function Architecture

📄 PDF Smart Assistant
├── Content Extraction
│   ├── Text extraction
│   ├── Table extraction
│   ├── Image extraction
│   └── Metadata reading
├── Format Conversion
│   ├── PDF → Word
│   ├── PDF → Excel
│   ├── PDF → Image
│   └── PDF → HTML
├── Document Operations
│   ├── Merge PDFs
│   ├── Split PDF
│   ├── Rotate pages
│   └── Reorder
├── Document Protection
│   ├── Add watermark
│   ├── Encryption
│   ├── Permission settings
│   └── Digital signature
└── Intelligent Processing
    ├── Content search
    ├── Batch rename
    ├── Compress optimize
    └── Quality check

2.2 Technology Selection

Core tech stack for PDF processing:

Function	Python Library	Description
Basic Operations	PyPDF2 / pypdf	Merge, split, rotate
Content Extraction	pdfplumber / PyMuPDF	Text, table extraction
Format Conversion	pdf2docx / pdf2image	Convert to Word/images
OCR Recognition	pytesseract + pdf2image	Scanned document recognition
Advanced Processing	ReportLab	Generate PDF, add watermark

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3. Technical Implementation