Unstructured Technologies

Overview

Unstructured Technologies provides tools and services to process unstructured data, including PDFs, Word documents, PowerPoint presentations, emails, and more. Its core functionality involves extracting, cleaning, partitioning, and transforming content from these complex formats into clean, structured elements (like titles, paragraphs, tables, images) and metadata.

The platform is designed to prepare this data specifically for consumption by large language models (LLMs), vector databases, and search applications. By converting messy, layout-heavy documents into machine-readable formats, Unstructured helps organizations build more accurate, reliable, and efficient AI applications, such as chatbots, search engines, and analytics platforms that require understanding document content. It offers both an open-source library for developers and commercial cloud/enterprise solutions for scalable processing and advanced features.

Key Features

• Supports a wide range of document types (PDFs, Office docs, emails, images, etc.)
• Intelligent partitioning of documents into logical elements
• Accurate text and metadata extraction
• Handles complex layouts and scanned documents (with OCR integration)
• Cleans and preprocesses data for AI readiness
• Outputs structured data in formats like JSON, CSV, TXT
• Layout-aware data extraction
• Open-source Python library available
• Managed Cloud API for scalable processing
• Enterprise platform for custom/on-prem deployments

Supported Platforms

• Web Browser (for Cloud UI/API access)
• Python Library
• Docker
• API Access

Integrations

• Vector Databases (Pinecone, Weaviate, Chroma, Qdrant, etc.)
• Cloud Storage (AWS S3, Google Cloud Storage, Azure Blob Storage)
• Data Warehouses (Snowflake)
• Search Engines (Elasticsearch, Solr)
• Orchestration Tools (Airflow, Prefect)
• LLM Frameworks (LangChain, LlamaIndex)
• Databricks
• dbt

Pricing Tiers