# Unstructured

> Convert documents to structured data

Open-source ETL for complex documents.

- Source: https://github.com/Unstructured-IO/unstructured
- Homepage: https://www.unstructured.io/
- License: Apache-2.0
- Language: HTML
- Stars: 15527
- Forks: 1351
- Contributors: 154
- Last commit: 2026-10-03
- Latest release: 0.27.10 (2026-09-27)
- Purpose: AI & LLM tooling, RAG & vector DBs
- Runs on: Library / SDK
- For: Personal, Enterprise

## Worth score: 79/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 21/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 11/15
- Readiness: 12/15

## Alternatives

- [Docling](https://diggithub.com/docling-project/docling.md): Get your documents ready for generative AI
- [OpenDataLoader PDF](https://diggithub.com/opendataloader-project/opendataloader-pdf.md): PDF parser for AI-ready data
- [MinerU](https://diggithub.com/opendatalab/MinerU.md): Convert PDFs and Office docs to LLM-ready Markdown
- [PaddleOCR](https://diggithub.com/PaddlePaddle/PaddleOCR.md): OCR toolkit that turns documents into structured data
- [txtai](https://diggithub.com/neuml/txtai.md): All-in-one framework for semantic search and LLM workflows
- [MarkItDown](https://diggithub.com/microsoft/markitdown.md): Convert Office files and PDFs to Markdown for LLMs
- [PageIndex](https://diggithub.com/VectifyAI/PageIndex.md): Vectorless, reasoning-based RAG
- [FlagEmbedding](https://diggithub.com/FlagOpen/FlagEmbedding.md): Embedding and reranking models for retrieval

---

Source page: https://diggithub.com/Unstructured-IO/unstructured
Updated: 2026-10-04