DoclingvsWhisper

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

Whisper

Voice & Audio

OpenAI's open-source speech recognition model

FeatureDoclingWhisper
CategoryData & ETLVoice & Audio
PricingFree (open-source)Free (open-source)
GitHub Stars
15k
More stars
72k
PlatformsLinux, macOS, WindowsLinux, macOS, Windows
Key Features
  • PDF conversion
  • Table extraction
  • OCR
  • Markdown output
  • LlamaIndex integration
  • Speech-to-text
  • Multi-language
  • Translation
  • Local running
  • High accuracy
Pros
  • + Excellent PDF parsing
  • + Table extraction
  • + OCR capability
  • + IBM Research quality
  • + LlamaIndex integration
  • + Best open-source speech recognition
  • + 99 language support
  • + Translation capability
  • + Free and open-source
  • + Runs locally
Cons
  • Heavy dependencies
  • Can be slow on large docs
  • Python only
  • Complex output format
  • Slower than commercial APIs
  • Requires GPU for real-time
  • No speaker diarization
  • Large model file sizes
Tags
documentspdfconversionibm
speechtranscriptionopen-sourcemultilingual

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