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Web & Frontend Development @er3mit4 Updated 6/28/2026 2,153 downloads 0 stars Security: Pass

Docling OpenClaw Plugin & Skill | ClawHub

Looking to integrate Docling into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate web & frontend development tasks instantly, without having to write custom tools from scratch.

What this skill does

Extract and parse content from web pages, PDFs, documents (docx, pptx), and images using the docling CLI with GPU acceleration. Use INSTEAD of web_fetch for extracting content from specific URLs when you need clean, structured text. Use Brave (web_search) for searching/discovering pages. Use docling when you HAVE a URL and need its content parsed.

Install

ClawHub CLI
openclaw skills install @er3mit4/docling
Node.js (npx)
npx clawhub@latest install docling

Full SKILL.md

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nameversiondescription
docling1.0.2Extract and parse content from web pages, PDFs, documents (docx, pptx), and images using the docling CLI with GPU acceleration. Use INSTEAD of web_fetch for extracting content from specific URLs when you need clean, structured text. Use Brave (web_search) for searching/discovering pages. Use docling when you HAVE a URL and need its content parsed.

SKILL.md content below is scrollable.

Docling - Document & Web Content Extraction

CLI tool for parsing documents and web pages into clean, structured text. Uses GPU acceleration for OCR and ML models.

Prerequisites

  • docling CLI must be installed (e.g., via pipx install docling)
  • For GPU support: NVIDIA GPU with CUDA drivers

When to Use

  • Extract content from a URL → Use docling (not web_fetch)
  • Search for information → Use web_search (Brave)
  • Parse PDFs, DOCX, PPTX → Use docling
  • OCR on images → Use docling

Quick Commands

Web Page → Markdown (default)

docling "<URL>" --from html --to md

Output: creates a .md file in current directory (or use --output)

Web Page → Plain Text

docling "<URL>" --from html --to text --output /tmp/docling_out

PDF with OCR

docling "/path/to/file.pdf" --ocr --device cuda --output /tmp/docling_out

Key Options

Option Values Description
--from html, pdf, docx, pptx, image, md, csv, xlsx Input format
--to md, text, json, yaml, html Output format
--device auto, cuda, cpu Accelerator (default: auto)
--output path Output directory (recommended: use controlled temp dir)
--ocr flag Enable OCR for images/scanned PDFs
--tables flag Extract tables (default: on)

Security Notes

⚠️ Avoid these flags unless you trust the source:

  • --enable-remote-services - can send data to remote endpoints
  • --allow-external-plugins - loads third-party code
  • Custom --headers with untrusted values - can redirect requests

Workflow

  1. For web content extraction: Use docling "<URL>" --from html --to text --output /tmp/docling_out
  2. Read the output file from the specified output directory
  3. Clean up the output directory after reading

GPU Support

Docling supports GPU acceleration via CUDA (NVIDIA). Verify CUDA is available:

python -c "import torch; print(torch.cuda.is_available())"

Full CLI Reference

See references/cli-reference.md for complete option list.

ClawHub Registry URL: https://clawhub.ai/er3mit4/skills/docling

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