DoclingvsMicrosoft AutoGen

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Docling

Data & ETL

IBM's document conversion tool for AI pipelines

Full review →Website ↗

Microsoft AutoGen

AI Agent Frameworks

Featured

Framework for building multi-agent conversational AI

Full review →Website ↗
FeatureDoclingMicrosoft AutoGen
CategoryData & ETLAI Agent Frameworks
PricingFree (open-source)Free (open-source)
GitHub Stars
15k
✓ More stars
35k
PlatformsLinux, macOS, WindowsLinux, macOS, Windows
Key Features
  • ✓ PDF conversion
  • ✓ Table extraction
  • ✓ OCR
  • ✓ Markdown output
  • ✓ LlamaIndex integration
  • ✓ Multi-agent conversations
  • ✓ Code execution
  • ✓ Human-in-the-loop
  • ✓ Customizable
  • ✓ Group chat
Pros
  • + Excellent PDF parsing
  • + Table extraction
  • + OCR capability
  • + IBM Research quality
  • + LlamaIndex integration
  • + Strong multi-agent conversation support
  • + Code execution built-in
  • + Human-in-the-loop capability
  • + Microsoft backing
  • + Research-grade quality
Cons
  • − Heavy dependencies
  • − Can be slow on large docs
  • − Python only
  • − Complex output format
  • − Complex API for beginners
  • − Heavy dependency tree
  • − Documentation could be better
  • − Resource intensive
Tags
documentspdfconversionibm
multi-agentmicrosoftconversationsopen-source

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