Unstructured

Toolkit for loading and partitioning documents (PDFs, HTML, PPTX, images) into clean text/chunks with metadata for downstream NLP/RAG.

document-parsing-frameworksRecently released
60
Hero Score
Popularity
76
Performance
30
Ecosystem
75
Maturity
69
Dev Experience
50
⭐ 14,819 stars⬇ 1.2M downloads/wkFirst release: Sep 2022Last release: May 2026
Async Support: NoPlugin Extensions: HighSpeed: MediumDoc Quality: HighLearning Curve: Medium

Pros

  • Supports 25+ document types (PDF, HTML, Office, images) with layout-aware extraction
  • Semantic chunking with rich metadata (page numbers, element types) ready for RAG
  • Multiple partitioning strategies (fast, hi_res, ocr_only) for speed/quality tradeoffs

Cons

  • Heavy optional dependencies (OCR libs, ML models) with platform-specific quirks
  • Open source version has reduced performance; not recommended for production use
  • Hi_res strategy is slow on CPU with no GPU support in open source

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