LangflowvsDocling

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

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

Docling

Data & ETL

IBM's document conversion tool for AI pipelines

FeatureLangflowDocling
CategoryAutomation PlatformsData & ETL
PricingFree (open-source) + CloudFree (open-source)
GitHub Stars
More stars
35k
15k
PlatformsLinux, macOS, Windows, Docker, WebLinux, macOS, Windows
Key Features
  • Visual builder
  • Drag-and-drop
  • Component library
  • API export
  • Multi-model
  • PDF conversion
  • Table extraction
  • OCR
  • Markdown output
  • LlamaIndex integration
Pros
  • + Intuitive visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
  • + Excellent PDF parsing
  • + Table extraction
  • + OCR capability
  • + IBM Research quality
  • + LlamaIndex integration
Cons
  • Tied to LangChain ecosystem
  • Limited for very custom logic
  • Can be slow for complex flows
  • Still maturing
  • Heavy dependencies
  • Can be slow on large docs
  • Python only
  • Complex output format
Tags
no-codevisuallangchainopen-source
documentspdfconversionibm

Want to compare different tools?

← Back to compare picker

Related Comparisons