Docling
Document conversion — PDF, Word, Excel, PowerPoint to markdown
📋 Overview
Docling is an open-source document conversion tool that transforms PDF, Word, Excel, and PowerPoint files into structured markdown — preserving tables, layouts, and metadata. Unlike basic PDF parsers (which extract raw text), Docling uses deep learning to understand document structure and produce clean, LLM-ready output.
✨ Key Features
- •25K+ GitHub stars — deep learning document conversion
- •PDF, Word, Excel, PowerPoint to markdown
- •Table extraction and preservation
- •Layout understanding
- •LLM-ready output
- •MIT licensed
- •LLM-ready output
- •Metadata preservation
🎯 The Problem It Solves
RAG pipelines need clean, structured text from documents — but PDFs, Word files, and PowerPoints are messy. Docling converts them to structured markdown that LLMs can understand.
🔧 How It Works
Docling uses deep learning models to detect document structure — identifying tables, headers, paragraphs, and figures. It converts each element to markdown with proper formatting.
🚀 Installation & Quick Start
Installation
See websiteQuick Start
- See documentation
✅ Pros
- •Best document conversion quality
- •Table extraction
- •Layout understanding
- •MIT licensed
- •LLM-ready output
- •Metadata preservation
❌ Cons
- •Slower than basic parsers
- •Requires GPU for best results
- •Output needs review
- •Slower than basic parsers
💬 Practitioner Verdict
“Docling is the best open-source document conversion tool — the deep learning-based parsing is genuinely better than rule-based alternatives. The trade-off: slower than basic parsers, requires GPU for best results, and the output still needs review.”
Self-Hosted (Free)
Open source, MIT/Apache licensed. Run it yourself.
⭐ Star & Clone on GitHubFree forever. Your infrastructure, your data.
📊 Specifications
- Language
- Python
- License
- MIT
- Platform
- Linux, macOS, Windows
- Supported Models
- REST API, CLI
💰 Pricing Reality
100% free MIT license. No paid tier.