Unstructured turns complex documents, PDFs, and images into clean, structured, and model-ready data pipelines for your enterprise stacks.
What it is
Unstructured is a data processing platform built to convert messy, complex files into clean, structured data ready for generative models and vector databases. It handles more than sixty file types, including PDFs, spreadsheets, images, and emails, preserving layout hierarchy, reading order, and table structures without manual setup.
Key features
- Extract complex tables and preserve rows, columns, and headers across multi-page documents.
- Capture text from scans, handwriting, and low-quality images using built-in optical character recognition.
- Route data from sources like S3, SharePoint, and Google Drive directly into vector databases and destinations.
- Partition, chunk, enrich, and embed documents using various transformation and chunking strategies.
- Maintain security and compliance with SOC 2 Type 2, HIPAA, and GDPR support.
Who it's for
Unstructured serves engineering teams, financial institutions, healthcare organizations, government agencies, and legal departments looking to ingest and pre-process documents for large language models at scale.
Pricing
Unstructured offers a free tier including 10,000 pages, a pay-as-you-go option charging $0.015 per additional page, and custom business plans for dedicated deployments.
Use cases
- Extract tables from financial reports
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