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 details
- Company
- Zipstack, Inc.
- Jurisdiction
- Delaware
- Built for
- Businesses and teams
- Stated compliance
- SOC 2, GDPR, HIPAA, ISO 27001
Compliance as stated in Unstract's own published documentation.
Unstract tech specs
- Works with
- OpenAI / GPT Anthropic / Claude Google / Gemini Perplexity
- Cloud
- AWS Google Cloud Azure
- Integrations
- Slack GitHub
Unstract pricing
Freemium- Free trial
- 14 days
- Auto-renewal
- Yes
Verify on the official pricing page.
View plansUnstract'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
Unstract user reviews
Based on 2 reviews, 100% of users recommend Unstract, rated highly for ease of use.
Liked for
Would you recommend Unstract?
Who is Unstract for?
-
Data analysts
-
Automation engineers
-
Insurance underwriters
-
Financial advisors
-
System administrators
Unstract FAQ
Is Unstract free?
Partly. Unstract has a free plan with usage limits, and paid plans unlock the full feature set. Plans include Starter at $416/mo billed annually, Growth at $1874/mo billed annually and Native text at $(cost per page) $0.0500 cost per page above quota $0.0525.
Is Unstract safe to use?
Unstract states SOC 2, GDPR, HIPAA and ISO 27001 compliance in its own published documentation. Unstract is operated by Zipstack, Inc., registered in Delaware. It has a substantial audience that is independently measured month to month.
What are the best alternatives to Unstract?
The closest alternatives to Unstract are Upstage AI, Extracta.ai, Landing.ai, Extracta and Nanonets. You can compare them side by side in the alternatives section further down this page.
What does Unstract do with my data?
Unstract states that customer content may be used to train its models. Its privacy policy states that personal data is not sold or shared for marketing purposes. Data may be shared with third-party service providers that help run the product.
Does Unstract auto-renew or offer refunds?
Unstract subscriptions renew automatically until you cancel.
Does Unstract have an API?
Yes. Unstract offers an API, so you can call it from your own applications instead of using the interface directly.
Who made Unstract?
Unstract is built and operated by Zipstack, Inc., a company registered in Delaware.
Which AI models does Unstract use?
Unstract is built on OpenAI / GPT, Anthropic / Claude, Google / Gemini and Perplexity. Which models you can reach may depend on your plan.
What does Unstract integrate with?
Unstract connects with Slack and GitHub.
Compliance, privacy and billing terms are as stated in each product's own published documentation and have not been independently verified by TopAI.tools.
