Unstract

Describe a document process, get an auditable automation workflow

Intermediate API
Screenshot of Unstract, Describe a document process, get an auditable automation workflow

What is Unstract?

Unstract turns plain-language process descriptions into auditable document automation workflows across three layers: LLMWhisperer for LLM-ready ingestion, Document Studio for schema-based extraction, and Flow for agentic orchestration with human-in-the-loop escalation and 100+ connectors.

Unstract is a document automation platform built around three connected layers: LLMWhisperer for document preparation, Document Studio for structured extraction, and Flow for orchestration. The pitch is that a plain-language description of a business process can be turned into a production workflow that runs with deterministic control where accuracy matters and agentic judgment where documents are messy. The site's showcase example is certificate of insurance verification, where an agent watches a shared inbox, classifies each packet, extracts insured, carrier, limits and expiry, checks coverage against each trade's requirements, escalates failures to a human reviewer, then replies to the sender and writes a ledger row. Flow is the top layer. It compiles a written specification into a frozen execution graph that can be versioned, tested and audited, with bounded AI steps inside it. A patent pending feature called Agentic Process Mining sends explorer agents to learn an existing process alongside an expert across browsers, SSH and mainframes, then drafts a plain-English specification for approval. Human-in-the-loop routing is configurable by confidence threshold, amount, document type or customer name, and every handoff is logged so the points where people were needed remain visible. Document Studio handles extraction: describe the fields you need in natural language and map many layouts to one consistent JSON schema, with human review built in for validation and exception handling. It can deploy as an API, an ETL pipeline or an MCP server. LLMWhisperer sits at ingestion, preserving columns, forms, line items and table borders, reading checkboxes, radio buttons and handwriting, and correcting sideways pages across multiple OCR engines. The product targets operations, finance, insurance, legal and healthcare teams dealing with high-volume, layout-variable documents, and the engineering groups supporting them. The site reports 100 or more connectors and more than 600 paying customers. It competes with IDP suites and workflow builders, and its differentiation is the tight coupling of ingestion, extraction and orchestration in one stack rather than a generic agent platform with document handling bolted on. A free consultation is offered, and a free starting path exists, though published plan pricing is not shown on the homepage.

How do you use Unstract?

  1. 1Book a consultation to scope one process
    Bring a single document-heavy process to a 30 minute session and the team maps it onto a Flow specification, which is a low-risk way to judge fit before committing.
    Unstract — Book a consultation to scope one process
  2. 2Start free and describe the process
    Use the free starting path to create an account, then write the process in plain language in the Architect chat, naming the documents, the fields to pull and the rules to enforce.
    Unstract — Start free and describe the process
  3. 3Review the drafted specification
    The Architect produces a readable specification with numbered steps. Check classification, extraction fields, rule checks and escalation points, and edit anything that does not match how the team actually works.
    Unstract — Review the drafted specification
  4. 4Define the extraction schema in Document Studio
    Describe the JSON fields you need and map the document variants to that schema, bringing reviewers in for validation and exception handling where accuracy is critical.
    Unstract — Define the extraction schema in Document Studio
  5. 5Prepare documents with LLMWhisperer
    Set the ingestion mode (layout, text or text dump) and confirm that tables, forms, checkboxes and handwriting come through in a form the model can reason over.
  6. 6Connect systems and set human review rules
    Wire up the storage, database and business systems you already use from the connector library, then set the thresholds that route exceptions to a person.

Pros and cons

Pros

  • Three products cover ingestion, extraction and orchestration in one stack, so document handling is native rather than added onAI
  • Workflows compile to a frozen, versioned execution graph that can be tested and auditedAI
  • Human-in-the-loop triggers are configurable by confidence, amount, document type or customer name, and handoffs are loggedAI
  • Agentic Process Mining drafts a specification from observation, reducing manual discovery workAI
  • Extraction deploys as an API, ETL pipeline or MCP server, and LLMWhisperer offers SaaS and on-premises optionsAI

Cons

  • The homepage publishes no plan prices or tier details, so budgeting requires a sales conversationAI
  • Three separate layers mean a real learning curve and more setup than a single-purpose OCR APIAI
  • Process mining is marked patent pending and described at a high level, with no published accuracy benchmarksAI
  • The platform is aimed at demanding enterprise document workflows, which is heavy for small teams with simple extraction needsAI
  • Connector breadth is claimed but individual integration depth and limits are not documented on the homepageAI

How much does Unstract cost?

Free trial

The site offers a Get Started path and a free consultation worth $1,000, but no trial length or plan terms are published on the homepage.

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Support

A free 30 minute consultation is offered to map a process onto Flow, and the site references an open support path, though no help centre details are published on the homepage.

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Integrations

Over 100 connectors are claimed, spanning cloud storage (S3, Google Drive, Dropbox, Box), warehouses (Snowflake, BigQuery, Postgres, SQL Server), ERP and accounting (QuickBooks, Xero, SAP, NetSuite), CRM, and project tools, plus an API option.

Features

Flow converts written process specifications into versioned, auditable execution graphs with deterministic control and bounded AI steps. Agentic Process Mining drafts specifications from observation. Document Studio extracts to one JSON schema with human review. LLMWhisperer preserves layout and reads checkboxes, handwriting and rotated pages. Human-in-the-loop routing and 100+ connectors are built in.

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Frequently asked questions about Unstract

  • Does Unstract offer a free trial?
    The site offers a Get Started path and a free consultation worth $1,000, but no trial length or plan terms are published on the homepage.
  • Does Unstract have an API?
    Yes, Unstract offers an API.
  • How do you use Unstract?
    The walkthrough on this page covers 6 steps: 1. Book a consultation to scope one process 2. Start free and describe the process 3. Review the drafted specification 4. Define the extraction schema in Document Studio 5. Prepare documents with LLMWhisperer 6. Connect systems and set human review rules.
  • What platforms does Unstract support?
    Unstract is available on Web App.
  • What does Unstract integrate with?
    Over 100 connectors are claimed, spanning cloud storage (S3, Google Drive, Dropbox, Box), warehouses (Snowflake, BigQuery, Postgres, SQL Server), ERP and accounting (QuickBooks, Xero, SAP, NetSuite), CRM, and project tools, plus an API option.
  • What are the limitations of Unstract?
    The homepage publishes no plan prices or tier details, so budgeting requires a sales conversation. Three separate layers mean a real learning curve and more setup than a single-purpose OCR API. Process mining is marked patent pending and described at a high level, with no published accuracy benchmarks.

Status

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Added10/21/2026

Platforms

Web App

Pricing

FreemiumPaid