DoclingvsCrewAI

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

CrewAI

AI Agent Frameworks

Framework for orchestrating role-based AI agent teams

FeatureDoclingCrewAI
CategoryData & ETLAI Agent Frameworks
PricingFree (open-source)Free + Enterprise
GitHub Stars
15k
More stars
25k
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows
Key Features
  • PDF conversion
  • Table extraction
  • OCR
  • Markdown output
  • LlamaIndex integration
  • Multi-agent collaboration
  • Role-based agents
  • Task delegation
  • Tool integration
  • Memory
  • Process types
Pros
  • + Excellent PDF parsing
  • + Table extraction
  • + OCR capability
  • + IBM Research quality
  • + LlamaIndex integration
  • + Intuitive role-based agent design
  • + Built-in collaboration patterns
  • + Good documentation and examples
  • + Active development
  • + Simple Python API
Cons
  • Heavy dependencies
  • Can be slow on large docs
  • Python only
  • Complex output format
  • Less flexible than raw LangChain
  • Relatively young framework
  • Limited built-in tools
  • Can be expensive with many agents
Tags
documentspdfconversionibm
open-sourcemulti-agentorchestrationpythonteams

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