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PDF Skills - Intelligent Document Processing Assistant

Skill Overview

PDF Skills is an all-in-one PDF document processing solution that supports core operations such as reading, extracting, merging, splitting, creating, and encrypting, helping developers automate the handling of various PDF documents.

Use Cases

Batch Document Processing

- Merge multiple scanned files into a single PDF, or split large documents into separate files
- Batch add watermarks, uniformly rotate pages, and adjust document formatting
- Command-line tools enable efficient batch operations in environments without a GUI

Data Extraction and Conversion

- Extract text and table data from invoices, reports, and academic papers
- Export PDF tables to Excel for data analysis
- OCR technology turns scanned PDFs into searchable, editable text

Automated Workflows

- Integrate Python scripts into business systems to automate document processing
- Automatically generate standardized documents such as PDF reports, contracts, and certificates
- Enterprise document management needs such as form filling and encryption protection

Core Functions

Document Operations

- Merge and Split: Combine multiple PDFs into one, or split by pages into separate files
- Page Processing: Rotate pages, adjust order, add or delete pages
- Watermarking and Protection: Batch add watermarks, set password protection, and remove document encryption

Content Extraction

- Text Extraction: Extract PDF text content while preserving the original layout
- Table Extraction: Accurately recognize and export table data to Excel
- Image Extraction: Batch extract embedded image files from PDFs
- OCR Recognition: Convert scanned PDFs into searchable text

Document Creation

- Create from Scratch: Generate PDF documents using Python code
- Form Filling: Automatically fill PDF form fields
- Report Generation: Automatically create reports and certificates based on data

Frequently Asked Questions

How can I extract text from a scanned PDF?

Use OCR (Optical Character Recognition) to convert scanned images into editable text. This skill supports doing so with Python’s pytesseract and pdf2image libraries: first convert PDF pages to images, then perform text recognition on the images, and finally output searchable text.

How do I batch merge multiple PDF files?

You can use Python’s pypdf library or the command-line tools such as qpdf. The Python approach is suitable for integrating into automated scripts, while command-line tools are ideal for quick manual operations. Both methods support merging multiple PDF files in a specified order into a new file.

How can tables in a PDF be exported to Excel?

Use the pdfplumber library to precisely recognize table structures in PDFs. It can automatically detect table boundaries, extract cell contents, and output structured data. The extracted tables can be directly saved as Excel files for subsequent data analysis and processing.

Which library is best for processing PDFs with Python?

Choose based on your needs:

pypdf: Basic operations (merge, split, rotate, encrypt)

pdfplumber: Text and table extraction, preserving the original layout

reportlab: Create PDFs from scratch, generate reports and certificates

Command-line tools (qpdf/pdftotext): Fast batch processing without dependency on an environment