An advanced AI-ready PDF parser designed to convert complex documents into LLM-friendly formats like Markdown and JSON for RAG pipelines.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install opendataloader-pdf-zmy
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 opendataloader-pdf-zmy 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 OpenDataLoader PDF?
OpenDataLoader PDF is a high-performance tool tailored for developers building AI knowledge bases and sophisticated document processing workflows. It specializes in transforming unstructured PDF data into structured, clean Markdown, JSON, or HTML formats. This skill ensures that tables, mathematical formulas, and images are accurately represented for large language models, making it a vital component of the Openclaw Skills ecosystem for anyone working with document intelligence.
Whether you are processing standard digital files or scanned documents requiring OCR, OpenDataLoader PDF offers both a high-speed CPU-based basic mode and a feature-rich hybrid mode. The hybrid mode leverages AI to enrich content with chart descriptions and LaTeX formulas, bridging the gap between raw documents and intelligent agents. With its focus on reading order and table accuracy, it provides a reliable foundation for any retrieval-augmented generation system.
OpenDataLoader PDF Use Cases
- Automating the creation of RAG knowledge bases from large PDF repositories.
- Extracting structured data from financial invoices, medical reports, or academic papers.
- Converting scanned PDF documents into searchable, machine-readable formats using OCR.
- Enhancing technical documentation by extracting math formulas and generating AI descriptions for charts.
- Building cite-able data pipelines using JSON output with precise bounding box coordinates.
How OpenDataLoader PDF Works
- Select the input source, which can be individual PDF files or entire directories for batch processing.
- Choose the processing engine: Basic mode for high-speed text extraction or Hybrid mode for complex table parsing and AI-enhanced enrichment.
- The parser analyzes the document structure, identifying reading order, headers, tables, and embedded images.
- Optional AI enrichment triggers process mathematical formulas into LaTeX or generate descriptive text for pictures.
- The system exports the finalized data in the requested format (Markdown, JSON, or HTML) to the specified output directory for use in Openclaw Skills workflows.
OpenDataLoader PDF Setup
# Install the basic version for fast processing (CPU-based)
pip install -U opendataloader-pdf
# Install the hybrid version for AI-enhanced features and complex docs
pip install -U "opendataloader-pdf[hybrid]"
# Install LangChain integration for seamless RAG pipelines
pip install langchain-opendataloader-pdf
Requirements: Ensure you have Java 11+ installed for hybrid mode and Python 3.10+.
OpenDataLoader PDF Data Schema & Taxonomy
The skill organizes data based on the chosen output format to ensure compatibility with various AI data structures.
| Format | Content Description | Primary Use Case |
|---|---|---|
| Markdown | Clean text, structural headings, and table representations. | RAG chunking and LLM prompts. |
| JSON | Hierarchical data with bounding box coordinates for elements. | Citations and structured extraction. |
| HTML | Semantic markup preserving the original document structure. | Web-based document viewers. |
| Embedded Images | Supports Base64 or external references for extracted visuals. | Multimodal AI analysis. |
OpenDataLoader PDF Advanced Features
- Hybrid AI-enhanced parsing for complex nested tables and multi-column document structures.
- Integrated OCR support for processing scanned documents within the Openclaw Skills framework.
- Automated math formula extraction into LaTeX format for technical and academic research.
- AI-driven picture description generation to provide context for charts and images.
- Security-focused prompt injection sanitization to protect LLM processing pipelines.
- Direct LangChain integration via the OpenDataLoaderPDFLoader for rapid prototyping.
SKILL.md
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