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    1. Home
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    3. Unstructured
    Unstructured icon

    Unstructured

    Data Processing
    Featured

    Open-source library and enterprise platform that converts PDFs, Office files, emails and images into structured data for LLM and AI-agent workflows.

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    At a Glance

    Pricing
    Open Source

    Apache-2.0 licensed open-source library, self-hosted; stated to be and stay completely free.

    Engagement

    Available On

    API
    CLI
    SDK
    Web
    Linux

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Data ProcessingRetrieval-Augmented GenerationAI Development Libraries

    Alternatives

    LlamaIndexxmloxideExtend UI
    Developer
    UnstructuredSuite 120Est. 2022$65M raised

    Listed Oct 2026

    About Unstructured

    Unstructured, from Unstructured-IO, turns complex documents such as PDFs, HTML, Word files, emails and images into clean, structured output for language models and AI agents. It is available as an Apache-2.0 open-source Python library and as a commercial platform with managed pipelines and a Transform API/MCP interface.

    What It Is

    Unstructured is a document pre-processing and ETL toolset for GenAI data. The open-source unstructured library provides a partition function that detects the file type and routes it to the matching partitioning function, returning document elements. It can be installed from PyPI with extras per document type, or run from a Docker image. Some document types require system dependencies such as poppler, tesseract and libreoffice.

    Platform pipeline: extract, transform, load

    The vendor's platform page describes an end-to-end pipeline. It connects to 30+ sources, transforms 65+ file types with partitioning strategies that adapt per page, applies chunking, enrichments (such as image descriptions and entity recognition) and embeddings, then loads results to 30+ destinations including vector and graph databases, search engines and blob storage. Workflows can be scheduled and skip files already processed. They can be driven through an API, a no-code UI, or MCP for AI agents.

    Deployment and compliance

    The company says the platform can run as managed SaaS, hybrid, in a customer VPC, or on bare metal. It lists SOC 2 Type 2, HIPAA, GDPR, ISO 27001 and FedRAMP High among its compliance credentials. It also describes organizational accounts, role-based access and fine-grained permissions.

    Open source versus Transform

    The README states the open-source library will stay free and points to the Transform v2 API for higher-quality output. It reports Transform scoring higher than the open-source library on table accuracy and text accuracy in its own benchmarks. The library sends lightweight anonymous telemetry by default, which can be disabled with the DO_NOT_TRACK or SCARF_NO_ANALYTICS environment variables.

    Unstructured - 1

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    Pricing

    OPEN SOURCE

    Open Source

    Apache-2.0 licensed open-source library, self-hosted; stated to be and stay completely free.

    • License: Apache License 2.0 (Apache-2.0)
    • Self-hosted open-source library
    • Hosted Transform API and Platform are separate paid offerings

    Capabilities

    Key Features

    • Partition PDFs, HTML, Word docs, emails and images into structured elements
    • Automatic file-type detection with a single partition function
    • Table extraction preserving rows, columns and headers
    • OCR for scans, images and handwriting
    • Layout and reading-order preservation
    • Chunking strategies for LLM and RAG use
    • Enrichments such as image descriptions and entity recognition
    • Embedding generation via selectable models
    • 30+ source and 30+ destination connectors
    • Scheduled workflows with skip of already processed files
    • API, UI and MCP interfaces
    • Plugin architecture for custom connectors and transformation nodes
    • Docker image and PyPI installation for the open-source library
    • SaaS, hybrid, VPC and bare-metal deployment options

    Integrations

    Amazon S3
    SharePoint
    Google Drive
    Snowflake
    Databricks
    Azure
    Zendesk
    LangChain
    Model Context Protocol (MCP)
    Vector databases
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    Unstructured Team

    Founded 2022
    901 H Street
    $65M raised
    95 employees

    Used by

    IBM
    Bank of America
    Citibank
    Google
    +4 more
    Read more about Unstructured Team
    WebsiteGitHubLinkedInX / Twitter
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