tools
Unstructured
Unstructured turns complex documents and other files into structured data for search, RAG, analytics, and AI agents.
Unstructured processes documents from sources such as S3, SharePoint, Slack, Google Drive, and other connectors. It extracts text, tables, metadata, layout, and images, then supports chunking, enrichment, embeddings, and delivery to storage or vector databases.
Teams use it for document ingestion, RAG pipelines, agent workflows, compliance, and structured data extraction. The free plan includes 10,000 pages to start; Pay-As-You-Go charges $0.015 per page after that, while private deployments use custom pricing.
Features
- Processes 50+ document and image file types
- Connects to 40+ sources and 20+ destinations
- Extracts tables while preserving rows, columns, headers, and relationships
- Uses OCR for scans, images, handwriting, and low-quality documents
- Preserves reading order, hierarchy, sections, and page relationships
- Supports partitioning, chunking, enrichment, and embedding pipelines
- Provides REST API access for connectors, workflows, and jobs
- Supports cloud-hosted, dedicated instance, VPC, and bare-metal deployment
Use cases
- Build RAG pipelines from PDFs, emails, spreadsheets, and presentations
- Process invoices and compare extracted line items with purchase orders
- Prepare contracts, filings, and reports for search and analysis
- Feed structured document data into vector databases and data warehouses
- Run document-processing tools inside MCP-compatible AI agents
Pros
Cons
Pricing
- Starting price
- Free
- Pricing checked
- 2026-09-19
Free
Free
- 10,000 free pages to start
- No card required
- All features included
Pay-As-You-Go
$0.015 / page
- 10,000 free pages when your account starts
- Charge $0.015 per page after the first 10,000 pages
- All features included
Business
Custom
- Custom Pricing
- Multi-user accounts
- All Features
- Dedicated Instance, VPC or Multi-Tenant SaaS