Unstructured

Partial info

Turn messy documents into clean, structured data for RAG.

Unstructured extracts and structures text from PDFs, Office files, HTML, and images for LLM/RAG pipelines, with an open-source library and a managed API/platform plus many source connectors. It is a common ingestion backbone.

License

Open source (Apache-2.0 (core library))

Deployment

Self-hosted, Managed

Pricing

Open-source library; Serverless/Platform API is usage-based.

SDKs / languages

Python, Any (API)

Founded

2022

Strengths

Handles many file types
Open-source + managed API
Rich source connectors

Limitations

Best table/layout fidelity needs paid API
Setup for advanced parsing

Alternatives

Docling

Open-source document parsing library for RAG.

Firecrawl

Turn websites into clean markdown for LLMs.

LlamaIndex

Data framework for RAG and agents over your data.

LlamaParse

High-fidelity parsing of complex PDFs for RAG.

Reducto

High-accuracy document parsing and extraction API.

Compare all rag data ingestion & parsing →

Facts verified 19 July 2026. Neutral summary, not an endorsement; verify current details with the vendor.