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
59
Hero Score
Popularity
72
Performance
30
Ecosystem
75
Maturity
69
Dev Experience
50
⭐ 15,560 stars⬇ 678.8K downloads/wkFirst release: Sep 2022Last release: Oct 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