GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Unstructured is an open-source ETL solution for transforming complex documents into clean, structured formats for language models, supporting workflows like partitioning, enrichments, chunking, and embedding.
Good fit when
- When you need to convert a variety of document types, including PDFs and images, into structured data formats suitable for language models.
- If your workflow involves preprocessing documents for machine learning tasks, such as information retrieval or natural language processing.
Avoid when
- If you are working with simple text files that do not require complex parsing or enrichment processes.
- When you need a tool that supports real-time document processing, as Unstructured is optimized for batch processing and may not be suitable for real-time applications.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (3d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/Unstructured-IO/unstructuredHow it fits your stack(12)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Unstructured is an open-source ETL solution for transforming complex documents into clean, structured formats for language models, supporting workflows like partitioning, enrichments, chunking, and embedding.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 18, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 18, 2026
- Languages
- html, python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
Once in the running container, you can try things directly in Python interpreter's interactive mode.Source link
Tags
README
:eight pointed black star: Quick Start There are several ways to use the library: Run the library in a container or Install the library 1. Install from PyPI 2. Install for local development For installation with on Windows system, please refer to the documentation this will drop...
For agents
This page has a .md twin and JSON over the API.