A professional toolset for automating PDF and Word document conversions, editing, and OCR processing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install document-processor
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 document-processor 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 Document Processor?
The Document Processor is a comprehensive suite designed for advanced manipulation of office documents within an AI agent environment. As a key component of Openclaw Skills, it provides a bridge between raw files and structured data by offering high-fidelity PDF-to-Word conversions, watermark removal, and complex page extractions. This skill empowers developers to integrate sophisticated document management capabilities into their workflows without needing proprietary software.
By leveraging industrial-grade Python libraries, the skill ensures that document formatting is preserved during conversion and that metadata remains intact. Whether you are building an automated reporting pipeline or a document archival system, this addition to your Openclaw Skills library offers the reliability and flexibility required for production environments.
Document Processor Use Cases
- Extracting specific page ranges or targeted labels from large PDF reports for data analysis.
- Converting legacy Word documents to PDF for standardized archiving and distribution.
- Removing existing watermarks or adding custom branding and headers to corporate documents.
- Performing OCR on scanned documents to map page numbers and extract text in multiple languages.
- Batch processing entire directories of files for format normalization and bulk editing.
How Document Processor Works
- Identify the specific document task such as conversion, merging, splitting, or OCR analysis based on user requirements.
- Validate the presence of necessary Python dependencies and ensure input file integrity within the Openclaw Skills environment.
- Select the appropriate core script from the Document Processor toolkit tailored for the specific file type.
- Execute the command-line interface with desired parameters like page ranges, output paths, or language settings.
- Verify the generated output file to ensure it meets quality standards and clean up any temporary artifacts.
Document Processor Setup
To get started with this professional document tool within Openclaw Skills, you must install the core Python dependencies using the following command:
pip install PyPDF2 python-docx pdf2docx pillow pdfplumber
Once installed, you can verify the setup by running the included test script:
python3 test_skill.py
Document Processor Data Schema & Taxonomy
The skill organizes data based on file types and processing outputs, maintaining a clear taxonomy for metadata and OCR mapping. This structure is essential for Openclaw Skills to manage file lifecycles correctly:
| Component | Description | Data Format |
|---|---|---|
| Source Files | Original input documents for processing | .pdf, .docx |
| Processed Output | Converted, merged, or edited results | .pdf, .docx, .png |
| OCR Metadata | Mapping of physical page labels to logical indices | Text/JSON |
| Batch Config | Parameters for high-volume processing tasks | CLI Arguments |
Document Processor Advanced Features
- OCR-driven page label recognition for extracting content based on printed page numbers rather than logical indices.
- Multi-threaded batch processing capabilities for handling high-volume document migrations and conversions.
- Dynamic watermark injection with support for custom opacity, positioning, and external image assets.
- Advanced PDF compression and optimization algorithms to reduce file size for web delivery and storage.
- Comprehensive multi-language support for OCR tasks, specifically optimized for Simplified Chinese and English as part of the Openclaw Skills ecosystem.
SKILL.md
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