{"id":"b9b8e9f9-4715-473c-b615-9d515dc7aecc","shortId":"H3mTU2","kind":"skill","title":"Marker PDF-to-Markdown Converter","tagline":"Marker converts PDF, DOCX, PPTX, and image files to clean Markdown, JSON, and HTML with high accuracy. It handles tables, equations, code blocks, and multi-column layouts, with optional LLM-boosted extraction for maximum fidelity.","description":"# Marker PDF-to-Markdown Converter\n\nMarker converts PDF, DOCX, PPTX, and image files to clean Markdown, JSON, and HTML with high accuracy. It handles tables, equations, code blocks, and multi-column layouts, with optional LLM-boosted extraction for maximum fidelity.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- pip install marker-pdf\n- pip install marker-pdf[full]\n- pip install streamlit streamlit-ace\n- pip install -U uvicorn fastapi python-multipart\n\nRequirements and caveats from upstream:\n- Commercial self-hosting requires a license — see [Commercial usage](#commercial-usage). For on-prem licensing, [contact us](https://www.datalab.to/contact?utm_source=gh-marker-onprem).\n- | [Think Python](https://greenteapress.com/thinkpython/thinkpython.pdf) | Textbook | [View](https://github.com/VikParuchuri/marker/blob/master/data/examples/markdown/thinkpython/thinkpython.md) | [View](https://github...\n- You'll need python 3.10+ and [PyTorch](https://pytorch.org/get-started/locally/).\n\nBasic usage or getting-started notes:\n- See [below](#benchmarks) for detailed speed and accuracy benchmarks, and instructions on how to run your own benchmarks.\n- # Commercial usage\n- shell\n\n- Source: https://github.com/datalab-to/marker\n- Extracted from upstream docs: https://raw.githubusercontent.com/datalab-to/marker/HEAD/README.md\n\n## Source\n\n- [Agent Skill 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