Docling

PublishedJun 26, 2026Last updatedJul 13, 2026

Open-source Python software that converts PDFs, DOCX, PPTX, and images into structured data for GenAI and RAG pipelines.

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Quick verdict

Docling suits Python teams turning PDFs, Office files, and images into structured data for RAG and AI pipelines. It is a document parser, not a web crawler or scraping API.

Best for: PDF and Office to structured data
RAG document ingestion
Layout and table extraction
Python AI pipelines
Not ideal for: Crawling or fetching web pages
Hosted no-code extraction
Non-Python stacks
Last verified: Jun 26, 2026

Key facts

Repositorydocling-project/doclingGitHub
LicenseOpen source (MIT)GitHub
GitHub62.2k stars and 4.4k forksGitHub
Downloads13.5M PyPI downloads/monthPyPI
LanguagePythonProject docs

Compiled from public repository and package data; check the vendor's site for current details.

Sources

github.com

Verified against the docling-project/docling repository and the PyPI package.

Docling helps teams turn PDFs, office documents, and images into clean structured data. It is built for GenAI and RAG workflows, with strong support for PDF layouts and tables.

Key Features:

Document Conversion - Converts PDF, DOCX, PPTX, and image files into structured data
PDF Layout Understanding - Extracts layouts and tables for cleaner document processing
AI Pipeline Ready - Prepares document content for retrieval and generation workflows
Python Package - Available on PyPI with 13.5M downloads per month
Open Source - MIT-licensed Python project with 62,189 GitHub stars and 4,362 forks

Categories:

Document Extraction

Features:

Structured ExtractionPDF ExtractionDocument ParsingTable ExtractionLLM-Ready OutputAI ExtractionOpen Source

Tags:

ai-extraction open-source python structured-data