Transform over 64 different file types. Grab one of the files below and watch Unstructured turn messy data into clean, structured output, ready for AI and analysis.

The unstructured library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more.

4 days ago · The easiest way to parse a document in unstructured is to use the partition function. If you use partition function, unstructured will detect the file type and route it to the appropriate …

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 …

This quickstart shows how, in just a few minutes, you can use the Unstructured user interface (UI) to quickly and easily see Unstructured’s best-in-class transformation results for a single file …

Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise …

Unstructured data can be more complex and requires specialized skills and tools to parse and analyze. Continue reading for an extensive review of the definitions, use cases and benefits of …

The Unstructured open source library (GitHub, PyPI) offers an open-source toolkit designed to simplify the ingestion and pre-processing of diverse data formats, including images and text …

Nov 10, 2025 · Unstructured data use cases are scenarios in which organizations extract value from information that doesn’t fit neatly into rows and columns. Examples include text files, …

Unstructured enriches your content with metadata, structure, and context automatically. From image descriptions to entity recognition and more, we add the signals you need to retrieve and …