Privacy-first search infrastructure for AI agents, with smart routing, structured results, and native API, MCP, and Skill access.
Freemium
Summary
ETL for unstructured data — turn PDFs, slides, emails, and images into clean, AI-ready structured output.
Screenshots
Description
Unstructured solves the ingestion problem that sits in front of every retrieval system: enterprise knowledge lives in PDFs, PowerPoints, scanned contracts, email archives, and spreadsheets, and none of it is ready for a model.
What the platform does
- Parses 25+ file types into a common structured representation with document elements — titles, narrative text, tables, list items — preserved as such rather than flattened
- Handles hard documents. Multi-column layouts, nested tables, scanned pages needing OCR, and forms are the cases that make naive extraction useless.
- Chunks intelligently by document structure rather than character count, which materially improves retrieval quality
- Connects to sources and destinations. Read from S3, SharePoint, Google Drive, Confluence, and dozens more; write to the major vector databases.
- Runs as a pipeline with scheduling and incremental updates, so a knowledge base stays current
Options
The open-source library covers local processing and is widely used on its own. The hosted platform and API add scale, the strongest parsing models, and connector management, with enterprise deployment available in your own VPC.
Free tier for evaluation, usage-based pricing by pages processed.
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