Unstructured Core Library

The unstructured library is designed to help preprocess and structure unstructured text documents for use in downstream machine learning tasks. Examples of documents that can be processed using the unstructured library include PDFs, XML and HTML documents.

Library Documentation

Installation

Instructions on how to install the unstructured library on your system.

Unstructured API Services

Access all the power of unstructured through the unstructured-api or learn to host it locally.

Core Functionality

Learn more about the core partitioning, chunking, cleaning, and staging functionality within the Unstructured library.

Ingest

Connect to your favorite data storage platforms for an effortless batch processing of your files.

Metadata

Learn more about how metadata is tracked in the unstructured library.

Examples

Examples of other types of workflows within the unstructured package.

Integrations

We make it easy for you to connect your output with other popular ML services.

Best Practices

Learn best practices to optimize document information extraction using unstructured library.