Unstructured

Overview

Unstructured is a document parsing platform that converts unstructured files into structured, machine-readable data for AI applications. It provides comprehensive support for enterprise documents with strong accuracy.

Features

• High Content Fidelity: Preserves document structure and semantics
• Low Hallucination Rates: Accurate extraction without fabrication
• Accurate Table Extraction: 100% on simple tables, 75% on complex
• Enterprise Documents: Handles scanned invoices, multi-column layouts, nested tables
• Document Variety: PDFs, spreadsheets, scanned images, handwritten annotations
• Processing Flexibility: Variable speed based on document complexity
• Hosted and Self-Hosted: Choose deployment model

Performance

Unstructured's pipelines deliver strong content fidelity and precision, achieving low hallucination rates and accurate end-to-end table extraction. This translates directly to fewer downstream failures, higher RAG accuracy, better search relevance, and more reliable agentic systems.

Benchmarking

Recent evaluations compared Unstructured against Reducto, LlamaParse, Docling, Snowflake's AI_PARSE_DOCUMENT, Databricks' ai_parse_document, and NVIDIA's nemoretriever-parse on real-world enterprise documents.

Use Cases

• Enterprise RAG pipelines
• Document processing for complex layouts
• Applications requiring high accuracy
• Production systems with varied document types

Integration

Integrates with LangChain, LlamaIndex, and other RAG frameworks. Supports various deployment options.

Pricing

Offers both hosted API and self-hosted options with different pricing models.