A Python-powered utility for extracting plain text and comprehensive metadata from PDF documents using PyMuPDF.
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The PDF Reader skill is a robust tool within the Openclaw Skills library designed to streamline the processing of document data for AI agents. By leveraging the speed and reliability of the PyMuPDF library, this skill enables agents to look inside PDF files, retrieve their content, and understand their internal structure.
This skill is particularly valuable for developers building automated research assistants or document analysis pipelines. It transforms static PDF files into searchable, machine-readable text and structured JSON metadata, making it a cornerstone for any workflow involving Openclaw Skills and document management.
To integrate this skill into your environment, ensure you have Python 3 and the PyMuPDF package installed. Use the following commands to get started:
# Install the necessary dependency
pip install PyMuPDF
# Run a text extraction command
python3 skills/pdf-reader/reader.py extract /path/to/document.pdf --max_pages 5
# Retrieve document metadata
python3 skills/pdf-reader/reader.py metadata /path/to/document.pdf
The skill returns data in two primary formats depending on the command used. The metadata command produces a JSON object with the following schema:
| Property | Description |
|---|---|
| title | The title of the document as defined in its properties. |
| author | The individual or entity that created the file. |
| subject | The topic or category of the document content. |
| creationDate | The original timestamp when the PDF was generated. |
| format | The version of the PDF standard used (e.g., 1.7). |
| encryption | Details regarding password protection or encryption status. |
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