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DataFreemiumOpen Source
UNSTRUCTURED
ETL for unstructured documents into LLM-ready data
15.1k starsApache-2.0
ABOUT
AI pipelines require clean structured data, but real-world documents are messy — scanned PDFs, complex tables, mixed layouts, and inconsistent formatting cause poor retrieval and hallucinations. Unstructured automates document parsing and normalization so raw files become reliable inputs for RAG and fine-tuning.
INSTALL
pip install unstructuredINTEGRATION GUIDE
1. Preprocess PDFs and Office documents into structured chunks for RAG vector database ingestion
2. Batch-process millions of documents in a data lake into JSON or CSV for analytics pipelines
3. Convert legacy document repositories into AI-compatible formats for enterprise search and summarization
4. Extract tables, images, and text from mixed-format reports to feed multimodal language models
TAGS
etldocumentsparsingdata-pipelineopen-sourcepreprocessing