# docling-project/docling

> Get your documents ready for gen AI

- GitHub: https://github.com/docling-project/docling
- Website: https://docling-project.github.io/docling
- Category: RAG, Search & Data (https://ideas.asveas.com/c/rag)
- Tags: ai, convert, document-parser, document-parsing, documents, docx, html, markdown, pdf, pdf-converter, pdf-to-json, pdf-to-text, pptx, tables
- Language: Python · License: MIT
- Stars: 70,447 · Forks: 5,312 · Open issues: 972
- Last push: 2026-11-11 (today)
- Vibe score: 94/100

## What it is
Docling simplifies document processing by parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the generative AI ecosystem. 🗂️ Parsing of multiple document formats including PDF, DOCX, PPTX, XLSX, HTML, EPUB, Apple Pages, Numbers & Keynote, WAV, MP3, WebVTT, Box Notes, email formats (EML, MSG), iCalendar (ICS), images (PNG, TIFF, JPEG, ...), LaTeX, DocLang, plain text, and more 📑 Advanced PDF understanding incl. page layout, reading order, table structure, code, formulas, image classification, and more 🧬 A unified, expressive DoclingDocument representation format ↪️ Various export formats and options, including Markdown, HTML, WebVTT,…

## When to use it
Reach for docling when you need semantic search, embeddings, scraping or turning documents into LLM-ready data — it's written in Python and fits stacks tagged ai, convert, document-parser, document-parsing.

## Maintenance
docling-project/docling looks very actively maintained: the last push was today (2026-11-11), with 70,447 stars and 972 open issues.

## Quick start
```bash
git clone https://github.com/docling-project/docling.git
```

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Source: https://ideas.asveas.com/r/docling-project/docling · Catalog: https://ideas.asveas.com/llms.txt