What is Unstract?

Unstract is an open‑source, no‑code platform that automates the extraction of structured data from unstructured documents using large language models (LLMs). It offers a Prompt Studio for prompt engineers to create reusable extraction prompts, a Human‑in‑the‑Loop workflow that verifies LLM outputs, and an LLMChallenge mechanism that uses dual LLMs to eliminate hallucinations.

The tool provides dedicated APIs for table extraction, PDF splitting, invoice, bank statement, purchase order, and bill‑of‑lading extraction, and supports flexible deployment on cloud, on‑premise, or open‑source environments. Unstract is designed for industries such as insurance, finance, healthcare, logistics, and tax, enabling use cases like claims processing, underwriting, KYC onboarding, and loan document handling while meeting security and compliance requirements.

Unstract pricing Freemium

Low cost $0
High quality $0
High quality with form elements $0
Starter $416/mo billed annually
Growth $1874/mo billed annually
Native text $(cost per page) $0.0500 cost per page above quota $0.0525

Unstract user reviews

Based on 2 reviews, 100.0% of users recommend Unstract, rated highly for ease of use.

2
recommend
0
don't
2 reviews

Liked for

Worth the price 2 of 2
Easy to use 2 of 2
All key features 2 of 2
Good integrations 2 of 2
Quality results 1 of 2
Would you recommend Unstract?

Unstract's key features

  • Instantly parse unstructured documents
  • LLM-driven document extraction
  • Dual-LLM consensus validation
  • Token-efficient single-pass extraction
  • Customizable LLM and vector DB selection
  • LLMWhisperer layout-preserving preprocessing

Unstract use cases

  • Automate invoice data extraction from PDFs for accounting, leveraging reusable prompts and Human‑in‑the‑Loop verification to ensure accuracy
  • Extract transaction details from bank statements for automated reconciliation, using dual‑LLM hallucination mitigation to maintain data integrity
  • Streamline insurance claim processing by extracting claimant and policy information from unstructured documents, with HIL review before submitting to underwriting systems

Who is it for?

  • Data analysts
  • Automation engineers
  • Insurance underwriters
  • Financial advisors
  • System administrators

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