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  1. Get your data LLM-ready | Unstructured

    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.

  2. GitHub - Unstructured-IO/unstructured: Convert documents to …

    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.

  3. unstructured · PyPI

    5 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 …

  4. Unstructured 0.12.6 documentation

    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 …

  5. UNSTRUCTURED Definition & Meaning - Merriam-Webster

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

  6. Welcome to Unstructured!

    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 …

  7. Unstructured - GitHub

    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 …

  8. UNSTRUCTURED definition | Cambridge English Dictionary

    UNSTRUCTURED meaning: 1. not having a clear structure or organization: 2. Unstructured clothes do not have a definite…. Learn more.

  9. Overview - Unstructured

    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 …

  10. Unstructured Data Examples, Applications & Use Cases | IBM

    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, …