{"id":"b7871b80-e73e-42f9-a8f6-e2764b6f71c4","shortId":"anNvpB","kind":"skill","title":"Docling Document Parsing and Conversion Toolkit","tagline":"Docling is an open source document processing toolkit that converts PDFs, Office files, HTML, images, audio, and more into structured outputs for AI workflows. It supports local execution, OCR, and integrations with agent frameworks and retrieval pipelines.","description":"# Docling Document Parsing and Conversion Toolkit\n\nDocling is an open source document processing toolkit that converts PDFs, Office files, HTML, images, audio, and more into structured outputs for AI workflows. It supports local execution, OCR, and integrations with agent frameworks and retrieval pipelines.\n\n## Prerequisites\n\npython, pip, uv, go\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- pip install docling\n\nRequirements and caveats from upstream:\n- [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/docling)](https://pypi.org/project/docling/)\n- **Note:** Python 3.9 support was dropped in docling version 2.70.0. Please use Python 3.10 or higher.\n- ## 3. Python usage (recommended)\n\nBasic usage or getting-started notes:\n- 🔌 Connect to any agent using the [MCP server](https://docling-project.github.io/docling/usage/mcp/)\n- 🔌 [MCP server](https://docling-project.github.io/docling/usage/mcp/) for agentic applications\n- ### 1. Install\n\n- Source: https://github.com/docling-project/docling\n- Extracted from upstream docs: https://raw.githubusercontent.com/docling-project/docling/HEAD/README.md\n\n## Documentation\n\n- https://img.shields.io/badge/docs-live-brightgreen\n\n## Source\n\n- [Agent Skill 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