Unstract is a no-code platform made by Zipstack that turns unstructured documents into structured, ready-to-use data with LLMs. It is used mainly in insurance and finance, for claims, underwriting and KYC documents. Its parts include LLMWhisperer, which prepares complex documents for LLMs, LLMEval, which checks extracted data with two independent LLMs, and Prompt Studio for no-code extraction.

How much does Unstract cost in 2026?

Listed Unstract prices are per page. Overage is $0.10 per page, and another listed plan charges $0.09 per page. Lower page rates of $0.001, $0.005, $0.01 and $0.015 per page also appear in the pricing data. Plan names, included page volumes and monthly fees are not verified here, and pricing may have changed, so check the official pricing page.

Yes. Based on publicly available information, Unstract has a free tier. A free plan usually caps how much you can use it or which features you get, and those caps may have changed since the last product update. Check the official pricing page for what it includes today before you rely on it for regular work.

Unstract vs Scanned.to: what is the difference?

Unstract focuses on LLM-based extraction with built-in checks: LLMWhisperer prepares complex documents, LLMEval validates results with two independent LLMs and gives confidence scores, and ETL pipelines or API deployments move the data into your apps. Scanned.to's features are not described in the reviewed data, so a direct feature comparison is not verified. Choose based on validation needs, document types and per-page cost.

What are the best alternatives to Unstract?

Products listed as alternatives to Unstract include Scanned.to, Finigami, Kudra, ParseCrate and Invofox Self Serve. Their features and prices are not described in the reviewed data, so this list is not verified as a like-for-like set. Compare them on the document types you handle, accuracy checks, API access and cost per page before choosing.

Is Unstract safe for general business use?

Its description says Unstract follows the rules of various compliance authorities and keeps data safe and private, but specific certifications are not verified in the reviewed data. LLMObservability shows how your data interacts with LLMs from development to production, which helps with internal audits. Regulated teams handling insurance or KYC files should request compliance documents before sending real customer data.

Does Unstract have an API?

Not verified: API availability is not publicly verified for Unstract. Buyers should not assume a usable public API exists until the vendor publishes developer documentation or confirms access directly. Before planning an integration, verify endpoints, authentication, rate limits, pricing, support terms, and whether API access is generally available or limited to partners.

How does Unstract work?

You define the fields you want in Prompt Studio, a no-code tool that extracts structured data from any document. LLMWhisperer prepares complex documents so LLMs read them correctly, and LLMEval checks each result with two independent LLMs and gives a confidence score. Finished workflows run as ETL pipelines or API deployments, while LLMObservability tracks how data moves through the LLMs.

What does Unstract do?

It structures data from unstructured documents so teams can stop doing manual data entry. Insurance and finance teams use it for claims, underwriting and KYC paperwork. The Automation Hub structures common document types, DocDialog lets you ask questions about your documents in plain language, and instant file search helps you find files. Extracted data reaches other systems through ETL pipelines or APIs.

Does Unstract train on user data?

Information on whether Unstract trains AI models on user data is not publicly available in the reviewed material. The description says data stays safe, secure and private, but it gives no training or retention policy. Because extraction runs through LLMs, also check which model provider processes your documents and that provider's terms before uploading sensitive files.

Unstract

Unstract · US-based

Researched with AI|Data refreshed 3 minutes ago|2 sources|Updated 1 time this year

Data refreshed 3 minutes ago2 sources

Data analysisExtract

Researched with AI|Data refreshed 3 minutes ago|2 sources|Updated 1 time this year

Data refreshed 3 minutes ago2 sources

Data analysisExtract

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Starting price

From $0.001

Best for

Data analysis

Free trial

✓ Free tier

Monthly traffic

—

Social listening

18mentions

First indexed

Nov 6, 2026

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Unstract is a practical fit for buyers evaluating Data analysis, Extract, and Best ai tools for esearch tools.

Who is it for?: Insurance operations teams who need data pulled from claims and underwriting documents, because Prompt Studio maps varied layouts to one schema and LLMEval cross-checks results with two LLMs
Pricing: freemium · View pricing
Alternatives: Scanned.to,Finigami,Kudra

Product information

What this product does

Company & Maker

Who built Unstract?

Company: Zipstack (theresanaiforthat.com)
HQ: US
Live since: Nov 2026

The maker hasn't published a public statement we can verify yet.

See It In Action

Does Unstract have a demo?

Yes — watch the walkthrough below.

Researched with AI · Data refreshed 3 minutes ago · How we score

Full Report Access

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Unstract, made by Zipstack, is a document-processing platform that uses LLMs to turn unstructured files such as claims, bank statements, invoices and contracts into structured data. Insurance, finance and healthcare operations teams and developers use it to build extraction prompts and deploy them as APIs, ETL pipelines or MCP servers.

Who should use

Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.

Best-fit workflows

Document processing
Extracts fields from insurance claim documents into one structured schema
Converts bank statements and invoices into rows loaded into Snowflake, BigQuery or Postgres
Validates extracted KYC data with two independent LLMs and attaches confidence scores
Routes low-confidence contract extractions to human reviewers with a recorded handoff
Publishes a document extraction prompt as an API or MCP server for internal apps

Inferred from public dataView source →

Not publicly stated; a 14-day free trial covers a first projectPower-userSmall teamMid-marketEnterprise

Pricing reality

Vendor stated
Document Studio has Starter, Growth and custom Enterprise plans billed monthly or annually with per-page overage, and LLMWhisperer is billed per page.
Actual cost
A 14-day Document Studio trial needs no credit card, LLMWhisperer has a free daily page allowance, and the open source edition's cost is not stated.
Hidden costs
3 hidden cost warnings — unlock to view

Migration effort from 4 platforms analyzed

Pricing reality

Last updated Nov 2026

Vendor pricing page

Starting price

From $0.001

Free tier available.

Plans as published by the vendor

Mindber only shows named plan cards when they come from linked pricing evidence. If the tier data is incomplete, this page falls back to the listed starting price instead of fabricating plan names or $0 tiers.

/ 1000 pages ● $0.001 per page

$0.001

/ 1000 pages ● $0.005 per page

$0.005

/ 1000 pages ● $0.01 per page

$0.01

/ 1000 pages ● $0.015 per page

$0.015

General buyer tips

Common across software subscriptions, not findings about this product.

Auto-renewal is often on by default and refunds are narrow.

Beta, Linux, or recovery edge cases often ship without SLA coverage.

Team and business tiers usually move to sales-led quoting.

One-time or lifetime offers tend to disappear at version boundaries.

True cost for your case

LIVE ESTIMATE

Use caseMonths needed

Estimated spend

$0

Recurring billing is usually the real cost driver, not the first-month sticker price.

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Prices change often — confirm on the vendor's site before you buy.

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Insufficient data

Only 6 of 5 minimum public signals linked. Score appears once we collect 0 more independent signals.

How we calculate this Claim this profile Report inaccuracy

HOW THIS TOOL SCORES

Scores compare this tool with 31 similar tools in Data analysis. Use it to judge Innovation and Capability before you shortlist.

Updated Nov 7, 2026Baseline refreshed Jun 24, 2026

How we score →

Innovation Index™

Is it new, different, and easy to understand?

Bottom 25%7.0/10

Is this idea actually new?7.0/10

Does it stand out from similar tools?7.0/10

Can buyers understand it quickly?7.0/10

Medium confidence (60%) - some sub-scores have thin evidence.What this means →

Functionality Score™

Does it cover the jobs buyers expect, and can it keep up?

Bottom 25%4.6/10

Does it cover the core jobs?2.0/10

Are the main features deep enough?7.0/10

Can users trust it to stay usable?2.4/10

Will it fit into your stack?8.0/10

Medium confidence (50%) - some sub-scores have thin evidence.What this means →

Category baseline: Data analysisInnovation median: 7.8Capability median: 5.4n = 31

Data sources

Features detected: 1Engagement: declining (13/100)Baseline source: live product websites

Traffic & search proof

Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.

Google Trends live interest

Live Google Trends data for Unstract: interest over time, regions, topics, and related queries.

Open Google Trends

Tracks 12-month Google search interest on a 0-100 relative interest scale.

Includes regional demand, so readers can see where search interest is strongest.

Includes related topics and related queries to surface adjacent demand and search intent.

FAQ

Only linked Q and A rows are shown. Empty FAQ data stays hidden.

Social mentions

Only linked public mention evidence is shown here.

18 linked

Mentions per month

3 in the last 30 days

Mentions per month
Dec	0
Jan	0
Feb	0
Mar	0
Apr	0
May	1
Jun	1
Jul	0
Aug	0
Sep	0
Oct	3
Nov	0

Showing top 3 of 18 linked mentions.

Sources and methodology

Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.

EVIDENCE TRAIL

Pricing evidenceenrichment:official-pricing92% confidence

Social mentionsenrichment:social-mentions75% confidence

FAQ / Q&AMindber Faq Ai

LINKED SOURCES

Taaft

Unstract

Reviews3Last seenNov 6, 2026

HOW WE VERIFY

Mindber only surfaces numbers that trace to a linked source record or explicit feature provenance. When the evidence is thin, the page hides the field instead of guessing. Activity and fit summaries reuse the same approved projections across the hero, main panels, and sidebar so one product cannot show two different truths.

Scoring methodologyActivity Signals methodologyReport a data issue

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About this data: Activity signals are aggregated from public sources. Intelligence cards are AI-generated from public sources; only the Fit, Concerns and Who-not-for sections are approved by a Mindber editor before publication. Scores reflect public update frequency only — not product quality, company health, or investment suitability. Data may lag by up to 7 days. Learn more

Unstract

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What this product does

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