# Docling Document Conversion and Extraction Toolkit

> Docling is an open source document processing toolkit from the Docling project that converts PDFs, Office files, HTML, and other formats into structured output for downstream AI and automation workflows. It is well documented, actively maintained, and published as a Python package with a live docs site.

- Skill: `agentskillexchange/docling-document-conversion-and-extraction-toolkit` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/docling-document-conversion-and-extraction-toolkit`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/docling-document-conversion-and-extraction-toolkit/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Web & Frontend
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/docling-document-conversion-and-extraction-toolkit

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# Docling Document Conversion and Extraction Toolkit

Docling is an open source document processing toolkit from the Docling project that converts PDFs, Office files, HTML, and other formats into structured output for downstream AI and automation workflows. It is well documented, actively maintained, and published as a Python package with a live docs site.

## Prerequisites

python, pip, uv, go

## Installation

Use the upstream install or setup path that matches your environment:
- pip install docling

Requirements and caveats from upstream:
- [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/docling)](https://pypi.org/project/docling/)
- **Note:** Python 3.9 support was dropped in docling version 2.70.0. Please use Python 3.10 or higher.
- ## 3. Python usage (recommended)

Basic usage or getting-started notes:
- 🔌 Connect to any agent using the [MCP server](https://docling-project.github.io/docling/usage/mcp/)
- 🔌 [MCP server](https://docling-project.github.io/docling/usage/mcp/) for agentic applications
- ### 1. Install

- Source: https://github.com/docling-project/docling
- Extracted from upstream docs: https://raw.githubusercontent.com/docling-project/docling/HEAD/README.md

## Documentation

- https://img.shields.io/badge/docs-live-brightgreen

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/docling-document-conversion-and-extraction-toolkit/)