Unstructured
Unstructured is an open-source and commercial ETL platform that converts 64+ file types into structured, AI-ready data for LLM and RAG pipelines, trusted by 87% of Fortune 1000 companies with SOC 2 Type II, HIPAA, and FedRAMP High compliance.
Overview
Unstructured is the enterprise standard for unstructured data ETL — connecting to any document source, processing 64+ file types, and delivering clean, chunked, enriched data ready for LLM and RAG pipelines. Available as a self-hostable open-source library and a fully managed cloud platform, it serves both individual developers and Fortune 1000 enterprises including McKinsey, JPMorgan Chase, Google, Amazon, and Citibank. Its $0.03/page pay-as-you-go pricing, 30+ source connectors, 1,250+ pre-built pipelines, and full compliance stack (SOC 2 Type II, HIPAA, GDPR, FedRAMP High, ISO 27001) make it the widest-reaching and most enterprise-ready option in the document ingestion space. Founded in 2022 by Brian S. Raymond (formerly CIA/PrimerAI), Unstructured has earned recognition from CB Insights AI 100, Forbes Top 50 AI Companies, and Gartner Cool Vendor.
The Verdict
Who Should Use Unstructured?
Best For
- Enterprises with compliance requirements — SOC 2, HIPAA, FedRAMP High, GDPR, ISO 27001 all covered
- Pipelines ingesting diverse file types — 64+ formats including email, HTML, Office, images, and PDFs
- Teams using LangChain, LlamaIndex, Haystack, or major vector databases — native connectors available
- Organizations needing a no-code UI AND a developer API from the same platform
- Government and regulated industries requiring FedRAMP High certification
Not Ideal For
- Complex table extraction — only 75% accuracy on complex tables vs. Docling's 97.9%
- Speed-sensitive pipelines — slowest major option at ~141 seconds for 50 pages vs. LlamaParse's ~6 seconds
- Cost-minimizing self-hosted workloads — Docling is free and faster locally
- Simple, fast PDF parsing where a lighter tool would do
What's Great
- Widest file type coverage — 64+ formats including email (EML, MSG), HTML, Office, images, and PDFs
- Full enterprise compliance stack — SOC 2 Type II, HIPAA, GDPR, FedRAMP High, ISO 27001
- Trusted by 87% of Fortune 1000 — McKinsey, JPMorgan, Google, Amazon, Citibank among named customers
- 30+ source connectors and 1,250+ pre-built pipelines — fastest path to production for complex data estates
- 100% accuracy on simple table extraction in independent benchmarks
- Generous free tier — 15,000 pages with no expiration
- Self-hosted open-source library available alongside managed cloud
- #1 content fidelity on own benchmark vs. LlamaParse VLM (0.880 vs 0.835 Adjusted CCT)
Watch Out For
- Slowest processing speed — 51 seconds for 1 page, 141 seconds for 50 pages vs. LlamaParse's consistent ~6 seconds
- Only 75% accuracy on complex tables — severe column shift errors in complex nested structures
- Fails to reconstruct table of contents properly — captures headers but omits entries
- Business pricing requires a sales contact — no self-serve enterprise plan
- Heavy Python dependency stack — large container size and complex installation
- Benchmark data is primarily self-reported via Unstructured's own SCORE framework
Pricing
View all features & details
Supported File Types (64+)
- PDF (scanned + digital, with OCR)
- DOCX, PPTX, XLSX (Office documents)
- HTML, RST, RTF, ODT, EPUB
- PNG, TIFF, JPEG, BMP (images)
- EML, MSG (email)
- Plain text, CSV, XML, JSON
- Markdown, LaTeX
Processing Pipeline
- Intelligent partitioning (layout-aware)
- VLM partitioner for complex visual layouts
- Contextual chunking strategies
- Enrichment (metadata, entity extraction)
- Embedding generation
- Built-in OCR for scanned documents
Integrations
- LLM Frameworks: LangChain, LlamaIndex, Haystack
- Vector DBs: Weaviate, Pinecone, Redis, Elasticsearch, Neo4j, AstraDB, MongoDB
- Data annotation: Label Studio, LabelBox, Argilla, Prodigy, Datasaur
- Data tools: Pandas, Hugging Face Transformers
- Sources: S3, SharePoint, and 30+ more connectors
Compliance & Security
- SOC 2 Type II certified
- HIPAA compliant
- GDPR compliant
- FedRAMP High certified
- ISO 27001 certified
- Role-based access controls (Business tier)
- Full data isolation via dedicated VPC
Deployment Options
- Open-source Python library (self-hosted)
- Managed cloud API
- Dedicated instance (Business)
- VPC deployment (Business)
- No-code UI + developer API (dual interface)
Awards & Recognition
- CB Insights AI 100 (2024)
- Forbes Top 50 AI Companies
- Fast Company #24 Most Innovative (2025)
- Gartner Cool Vendor (2024)
How It Compares
| Feature | Unstructured | Docling | LlamaParse |
|---|---|---|---|
| File Types | 64+ | 20+ | 130+ |
| Simple Table Accuracy | 100% | 97.9% | 100% |
| Complex Table Accuracy | 75% | 97.9% | Inconsistent |
| Processing Speed (50 pages) | 141s | 65s | ~6s (cloud) |
| Self-hosted | Yes | Yes | No |
| Enterprise Compliance | SOC2, HIPAA, FedRAMP | None | None |
| Source Connectors | 30+ | None | None |
| Pre-built Pipelines | 1,250+ | None | None |
| Pricing | Free / $0.03/page | Free (MIT) | $0.0013–$0.056/page |
| Best For | Compliance + breadth | Accuracy + privacy | Speed + complex PDFs |