A comprehensive toolset for extracting text, tables, and metadata from PDF documents to enable deep content analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pdf-reader-cn
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-reader-cn 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 Openclaw PDF Reader?
The Openclaw PDF Reader is a specialized skill designed to empower AI agents with the ability to navigate and process PDF files. By leveraging high-performance libraries like pdfplumber and PyMuPDF, it ensures accurate text recovery and structured data extraction. As part of your collection of Openclaw Skills, this tool converts static PDF documents into searchable, analyzable data sources for any development workflow.
Openclaw PDF Reader Use Cases
- Extracting full-text content from whitepapers and technical manuals for LLM ingestion.
- Pulling structured table data from financial statements or research reports.
- Searching for specific keywords or regulatory terms within large document sets.
- Summarizing long-form PDF content to identify key insights quickly.
- Auditing document metadata for administrative or security purposes.
How Openclaw PDF Reader Works
- Provide the file path of the PDF document to the extraction script.
- The skill utilizes specialized Python libraries to parse the document's internal structure.
- Users define whether to extract the entire document or a specific subset of pages.
- Text and table data are processed and outputted into a format suitable for analysis.
- Optionally, the analysis script can be invoked to generate a high-level summary of the extracted content.
Openclaw PDF Reader Setup
To get started with this skill, ensure your environment is prepared for Python execution and run the following command:
# Extract text from a specific PDF file
python scripts/extract_pdf.py <path-to-pdf>
# Analyze and summarize the content of a PDF file
python scripts/analyze_pdf.py <path-to-pdf>
Openclaw PDF Reader Data Schema & Taxonomy
The Openclaw PDF Reader organizes extracted data into the following schema for easy integration:
| Data Point | Format | Description |
|---|---|---|
| Raw Text | String | The full text extracted from the document or specific pages. |
| Table Data | Structured List | Tables found within the PDF converted into rows and columns. |
| Metadata | Object | Document properties including author, title, and page count. |
| Page Range | Argument | Filter used to target specific segments of the document. |
Openclaw PDF Reader Advanced Features
- Targeted page-specific extraction to reduce processing overhead.
- Dual-library support using pdfplumber and PyMuPDF for maximum compatibility.
- Automated summarization capabilities via dedicated analysis scripts.
- Robust table extraction for handling complex document layouts.
- Seamless integration with other Openclaw Skills for end-to-end document automation.
SKILL.md
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