Unstructured is a data platform that turns messy documents into structured, AI-ready data. It parses more than 50 file types, extracts tables while keeping rows and headers intact, runs OCR on scans and handwriting, and preserves reading order and hierarchy. Pricing starts with 10,000 free pages with every feature included, then Pay-As-You-Go at $0.015 per page, and a custom Business plan covers dedicated deployments.
Unstructured is aimed at AI engineers, data engineers and product teams building retrieval or agent applications on top of company documents. Industry pages cover finance, healthcare, government, legal, manufacturing and insurance, where filings, trial protocols, contracts and claims forms are dense and varied. Enterprises that need privacy can deploy in a dedicated instance or their own VPC on the Business plan, and SAP, IBM, Teradata and Intel are quoted as partners or customers. Developers comfortable with Python can extend its plugin architecture, and companies that buy through the AWS or Azure marketplaces can use those routes.
Typical pipelines pull files from S3, SharePoint, Google Drive or Salesforce, partition and chunk them, enrich them with image or table descriptions, and write the output into a vector database or data warehouse. Insurers turn ACORD forms and scanned claims into structured fields for underwriting, legal teams make contracts searchable, and finance teams convert earnings reports into data feeds. Over 40 connectors, change detection and incremental processing keep downstream indexes current without reprocessing everything. Teams that prefer managed infrastructure can buy through cloud marketplaces, while those with strict data rules can ask about bare metal or private deployments.
