DoclingvsLangChain

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

LangChain

AI Agent Frameworks

Framework for building applications with large language models

FeatureDoclingLangChain
CategoryData & ETLAI Agent Frameworks
PricingFree (open-source)Free + LangSmith paid
GitHub Stars
15k
More stars
98k
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows
Key Features
  • PDF conversion
  • Table extraction
  • OCR
  • Markdown output
  • LlamaIndex integration
  • Chain composition
  • RAG pipelines
  • Agent toolkits
  • Memory systems
  • Streaming
  • Multi-model
  • LangGraph
Pros
  • + Excellent PDF parsing
  • + Table extraction
  • + OCR capability
  • + IBM Research quality
  • + LlamaIndex integration
  • + Massive ecosystem and community
  • + Modular and composable
  • + Supports every major LLM provider
  • + Excellent documentation
  • + LangSmith for monitoring
Cons
  • Heavy dependencies
  • Can be slow on large docs
  • Python only
  • Complex output format
  • Can be overly complex for simple tasks
  • Frequent breaking changes
  • Abstraction overhead
  • Steep learning curve
Tags
documentspdfconversionibm
open-sourceframeworkpythonjavascriptragchains

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