Open-Source AI · Document AI & OCR

Docling vs Unstructured

Docling vs Unstructured compared for 2026 — features, license, ease of use, performance and which one to choose. IBM-grade document understanding vs Turn any file into LLM-ready data.

Updated regularly · curated by OpenSourceAI.tech

Choose Docling for teams building document pipelines for RAG. Choose Unstructured for teams ingesting many file types into one pipeline.

Docling vs Unstructured at a glance

SpecDoclingUnstructured
CategoryDocument AI & OCRDocument AI & OCR
TypeDocument parsing toolkitETL for documents
LicenseMITApache-2.0
Runs locallyYesSelf-hosted
Primary languagePythonPython
Ease of useIntermediateIntermediate
Best forteams building document pipelines for RAGteams ingesting many file types into one pipeline
GitHub stars63.1k15.1k

How Docling and Unstructured score

🏆 Overall edge: Docling — 4.6 vs 4.3 / 5
CriterionDoclingUnstructured
Popularity4.53.5
Maintenance5.05.0
Ease of use3.53.5
Privacy5.04.5
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

Docling

Document parsing toolkit · MIT

Docling parses PDFs, DOCX, PPTX and images into structured representations with layout, tables and reading order, designed to plug straight into RAG frameworks.

  • Rich structured output: layout, tables, reading order
  • First-class integrations with LangChain and LlamaIndex
  • Backed by IBM Research, MIT-licensed
See the Docling page →

Unstructured

ETL for documents · Apache-2.0

Unstructured extracts and normalizes content from PDFs, HTML, Word, emails and more into clean elements ready for embedding and RAG ingestion.

  • One API for dozens of file formats
  • Chunking strategies designed for RAG
  • Widely adopted in the LLM data stack
See the Unstructured page →

Key differences

Docling is document parsing toolkit, while Unstructured is eTL for documents. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. They also differ in how they run (Yes vs Self-hosted). In short, Docling fits teams building document pipelines for RAG, and Unstructured fits teams ingesting many file types into one pipeline.

Which should you choose?

Choose Docling for teams building document pipelines for RAG. Choose Unstructured for teams ingesting many file types into one pipeline.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is Docling or Unstructured easier to use?

Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.

Are Docling and Unstructured free?

Docling is free and open source (MIT), and Unstructured is free and open source (Apache-2.0). Neither charges for the core software.

Can I run Docling and Unstructured locally?

Docling: yes · Unstructured: self-hosted. Both can be used without sending your data to a third-party cloud where their setup allows.

Docling vs Unstructured — which should I pick in 2026?

Choose Docling for teams building document pipelines for RAG. Choose Unstructured for teams ingesting many file types into one pipeline.

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