PDFlux-PDF2Markdown is an advanced document processing skill that transforms unstructured files into structured, LLM-ready Markdown while preserving layout and elements like tables and formulas.
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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Get the raw skill files in a ZIP archive.
PDFlux-PDF2Markdown is a high-performance skill designed to bridge the gap between unstructured documents and AI-ready data. By leveraging the PDFlux service via PDRouter, this tool extracts text, tables, formulas, and charts from PDF, Word, and PowerPoint files. It organizes the output into Markdown with up to 8 levels of headings, ensuring the reading order is strictly maintained for maximum context retention in RAG pipelines or LLM workflows.
This Openclaw Skills extension is essential for developers needing reliable document parsing without manual cleanup. It automates the complex process of document decomposition, making it a critical asset for any AI-driven data extraction or knowledge retrieval system.
Install the skill using the following command:
npx skills add PaodingAI/skills
Set the required environment variable to authenticate with the PDRouter platform:
export PD_ROUTER_API_KEY="your_api_key_here"
Run the extraction script with a local file path:
node skills/pdflux-saas-markdown/scripts/upload_to_markdown.js <local-file-path> [output-markdown-path]
The skill organizes data by converting visual elements into standard Markdown syntax to ensure compatibility with LLM context windows.
| Element | Markdown Representation |
|---|---|
| Headings | Up to 8 levels (# to ########) |
| Tables | Standard GFM Markdown tables |
| Lists | Ordered and unordered lists |
| Metadata | Embedded parsing status and document UUID |
| Images | Base64 strings (if enabled via environment variable) |
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