A versatile toolkit for programmatic PDF manipulation, extraction, and generation using Python and CLI tools.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pdf
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install pdf using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is PDF Processing Toolkit?
This skill provides a robust suite of tools for handling any PDF-related task within your AI agent environment. By integrating libraries like pypdf and pdfplumber, this Openclaw Skills entry enables precise text extraction, layout preservation, and complex table parsing. It is designed for developers who need to automate document processing at scale, whether creating reports from scratch with reportlab or decrypting secured files using qpdf. This resource serves as the definitive guide for managing document lifecycles within Openclaw Skills based environments.
PDF Processing Toolkit Use Cases
- Automating the extraction of tabular data from financial reports into Excel.
- Programmatically merging multiple document fragments into a single cohesive PDF.
- Implementing OCR on scanned documents to make them searchable and indexable.
- Generating dynamic business reports with custom styling and multi-page layouts.
- Protecting sensitive documents with password encryption and custom watermarks.
How PDF Processing Toolkit Works
- Select the appropriate tool based on the task, such as pdfplumber for table extraction or reportlab for document creation.
- Load the source PDF file into the environment or invoke the relevant CLI utility like qpdf.
- Execute the specific transformation or extraction logic, such as rotating pages or merging metadata.
- Process the extracted data through structures like Pandas DataFrames or write the final binary to disk.
- Integrate the generated assets into broader Openclaw Skills workflows for end-to-end automation.
PDF Processing Toolkit Setup
To get started with these Openclaw Skills, install the necessary Python dependencies:
pip install pypdf pdfplumber reportlab pytesseract pdf2image
For CLI-based operations, ensure the required system packages are present:
sudo apt-get install poppler-utils qpdf
PDF Processing Toolkit Data Schema & Taxonomy
The skill organizes data through various object-oriented structures and file outputs:
| Component | Data Type | Description |
|---|---|---|
| Metadata | Dictionary | Contains Title, Author, Subject, and Creator fields. |
| Extracted Text | String | Raw text content, optionally preserving original layout. |
| Tables | List of Lists | Tabular data structured for conversion to CSV or Excel. |
| Page Objects | Object | Individual PDF pages available for rotation or merging. |
| Images | JPEG/PNG | Rasterized assets extracted from document layers. |
PDF Processing Toolkit Advanced Features
- Full OCR capabilities for processing scanned images using Tesseract integration.
- Advanced table detection and extraction with direct Pandas export support.
- Multi-page document generation using the Platypus high-level layout engine.
- Granular document security including decryption, password protection, and watermarking.
- Scriptable command-line interface for batch processing within Openclaw Skills pipelines.
SKILL.md
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