A comprehensive suite for AI agents to automate PDF extraction, conversion, OCR, and security operations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-pdf-processor
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install free-pdf-processor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The PDF Processor is a versatile toolkit designed to bridge the gap between static documents and actionable data within an AI-driven environment. As a key component of Openclaw Skills, it provides developers and AI agents with the ability to programmatically manipulate PDF files, performing everything from high-fidelity text and table extraction to complex format transformations. Whether you are dealing with digital-first documents or scanned images requiring OCR, this skill provides a robust layer of automation.
By integrating this tool, users can transform unstructured PDF data into structured formats like Excel or Word, making it an essential utility for data analysts and developers alike. It leverages powerful Python libraries to ensure that even complex layouts and encrypted files are handled with precision, maintaining the integrity of the original content while providing the flexibility needed for modern Openclaw Skills workflows.
To get started with this Openclaw Skills package, navigate to the skill directory and install the necessary Python dependencies:
cd pdf-processor
pip install pymupdf pdfplumber python-docx openpyxl pillow pytesseract
For OCR functionality, ensure Tesseract OCR is installed on your host system. On macOS, use brew install tesseract; on Linux, use sudo apt install tesseract-ocr; for Windows, download the installer from the official GitHub wiki.
The PDF Processor organizes its operations through a clear input/output structure and metadata tracking:
| Component | Details |
|---|---|
| Supported Inputs | Standard PDF files, scanned image PDFs, and directories for batching |
| Extraction Outputs | Plain text (.txt), structured Excel (.xlsx), and images (.png) |
| Document Outputs | Editable Word (.docx), merged/split/compressed PDFs |
| Metadata Taxonomy | Captures Title, Author, Creator, and Creation Date when available |
| Security | Supports user and owner passwords for AES-256 encryption |
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