NuMind

What is NuMind?

NuMind builds NuExtract, a line of language models specialised in information extraction, and a platform around them that pulls structured JSON out of documents. You define a task in the web interface by writing a template and adding a few examples, test it in a playground, then call a task-specific API endpoint at scale. Inputs can be text, PDFs, spreadsheets or scans in any language, and a pre-processing step handles the file formats while post-processing checks that the output is valid JSON. The models are trained to return null when a requested field is missing from a document instead of inventing a value. For teams with confidentiality requirements, the platform can be installed privately, and the larger NuExtract 2.0 PRO model fits on a single H100 GPU. The launch post quotes API usage at $5 per million tokens, and the terms say current rates and volume discounts sit on the pricing page.

Use cases

• Extract invoice and receipt fields into JSON
• Parse contracts into structured data
• Turn scanned IDs and forms into records
• Classify emails and customer messages
• Convert PDFs and spreadsheets to clean data
• Run private document extraction on-premises

Who it's for

• Developers
• Data teams
• Operations teams
• Enterprises with privacy rules

Why use NuMind

• Defining a task with a template and a few examples avoids writing regex rules or training a model from scratch.
• One API endpoint per task makes it simple to move from testing in the browser to production.
• Private deployment keeps documents inside your own environment when data confidentiality is required.
• Models are taught to return null for absent information, which reduces made-up values in the JSON output.
• Handles mixed inputs such as scans, PDFs and spreadsheets in one workflow.

NuMind features

• NuExtract 2.0 PRO model for text and image documents
• Web interface to define templates and add examples
• Playground for testing a task before deployment
• Task-specific API endpoint and Python SDK
• Support for PDFs, spreadsheets, scans and plain text
• Multilingual extraction
• Pre-processing for document formats and JSON post-processing
• Returns null instead of guessing missing fields
• Private deployment option

NuMind integrations

• Python SDK
• Docker

How to get started with NuMind

1. Create an extraction task in the web interface by writing a JSON template of the fields you want.
2. Add a few example documents with the expected output to teach the model your format.
3. Test the task in the playground on new documents and adjust the template.
4. Deploy the task and call its API endpoint, or use the Python SDK, to extract at scale.
5. Ask NuMind about a private installation if your data cannot leave your infrastructure.

NuMind limitations

• Current rates are on a separate pricing page and may differ from the launch post
• The terms say the services are for professional use only
• LLMs still make extraction mistakes, as the vendor acknowledges

NuMind pricing

NuMind has no free plan. Plans start at $5 usage-based, according to the official pricing page on 24 Oct 2026.

NuMind plans

• NuExtract API

  $5 per million tokens

  Usage-based, per launch post

  • Task-specific API endpoint
  • Web interface and playground
  • Python SDK

• Private deployment

  Custom

  • Installed in your own environment
  • Full data confidentiality

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

NuMind alternatives

The main NuMind alternatives listed on Debuly are Reducto, Unstructured, Docling, Extend, Rossum and LlamaIndex. The table compares pricing and platforms; order is A–Z.

1. 

   Docling

   Open-source document parsing library that converts PDF, Office files, audio and more into Markdown or JSON for generative AI.

   Developer platformsProductivityAutomation and agents
   Open sourceVisit Docling (official site)
2. 

   Extend

   Document processing APIs for parsing, extracting, splitting, classifying and verifying documents for AI agents and pipelines

   Developer platformsAutomation and agents
   FreemiumVisit Extend (official site)
3. 

   LlamaIndex

   Open-source framework plus the LlamaParse platform for parsing, extracting and indexing documents so LLM apps can use them.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit LlamaIndex (official site)
4. 

   Reducto

   Document processing API and Studio that parses PDFs, scans and spreadsheets into structured data for AI and data teams.

   Developer platformsAutomation and agents
   Free trialVisit Reducto (official site)
5. 

   Rossum

   Document automation platform that pulls data from invoices and other business documents, with human review for exceptions.

   Automation and agentsDeveloper platformsProductivity
   PaidVisit Rossum (official site)
6. 

   Unstructured

   Turns PDFs, Office files, emails and images into clean, chunked, embedded data that is ready for LLM and RAG pipelines.

   Developer platformsAutomation and agentsProductivity
   FreemiumVisit Unstructured (official site)

NuMind FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from numind.ai · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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