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.

Nov 14, 2025 · 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 …

The meaning of UNSTRUCTURED is lacking structure or organization. How to use unstructured in a sentence.

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 …

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 …

1 day ago · Learn the key differences between structured and unstructured data, how each is stored and processed, examples, use cases, and architectural view.

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 …

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 …