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Nanonets

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Document AI that extracts data from invoices and forms and runs approval workflows

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Nanonets

What it is

Nanonets turns unstructured documents into structured data and acts on it. Its data extraction AI reads invoices, purchase orders, claims, receipts and scanned faxes, and workflow blocks chain extraction with classification, validation, routing and export. Nanonets Agents can complete processes such as invoice processing, reconciliation, cash application and order entry, posting results to ERPs and systems like SAP, with human review when you want it. It ingests documents from email and cloud storage, offers an API, and publishes open-source OCR models on Hugging Face. Pricing is usage based: every account starts with $50 in free credits, then pays per block run, with volume pricing for larger teams. Enterprise plans add SSO, HIPAA, private cloud or on-premise deployment and data residency options.

Key features

  • AI data extraction from invoices, orders and forms
  • Workflow blocks for classification and validation
  • Email, cloud storage, ERP and API integrations
  • Agents for AP, reconciliation and order entry

What we liked

  • + $50 in free credits with no card required
  • + Pay per block run rather than per seat
  • + Enterprise deployment and data residency options

Worth noting

  • · Usage pricing takes some modeling to estimate
  • · Advanced blocks and ERP connectors start at Growth

Editor's notes

More context from AI BirdView

Nanonets is a document AI platform that extracts data from invoices, orders and other business documents and automates the workflows around them for finance and operations teams. Instead of retyping fields from PDFs and scans, you send documents to Nanonets, it pulls out the data, checks it against your rules and pushes it into the systems you use. It has moved beyond OCR into agents that can complete whole processes such as accounts payable.

What is Nanonets used for?

Nanonets is used anywhere a team handles a steady flow of documents that need data captured and acted on.

  • Extracting line items, totals, dates and vendor details from invoices and receipts
  • Processing purchase orders that arrive by email, PDF, EDI or scanned fax
  • Classifying incoming documents and validating extracted fields against business rules
  • Running accounts payable steps such as invoice approval, reconciliation and cash application
  • Posting results to ERPs and databases, including SAP connectors on higher tiers
  • Building custom workflows with Python blocks and generative AI steps, or calling the API from your own apps

Who Nanonets is best for

Nanonets suits accounts payable and finance operations teams, logistics companies processing shipping documents, healthcare and insurance teams handling claims, and order management teams. Companies with high document volume and repetitive formats will see the most benefit. Individuals who need to convert a single PDF table to a spreadsheet once in a while will find a simpler converter enough.

Nanonets pricing

As of October 2026, every Nanonets account starts with $50 in free credits and no card required. The Starter plan then costs $100 per month for 100 credits and includes data extraction AI, API access, email and cloud storage integrations, and up to 3 users. Usage is charged per block run: $0.02 for simple operations such as formatting and export, $0.10 for standard AI such as classification, and $0.30 for complex AI such as data extraction. Nanonets says a typical invoice workflow uses 4 to 6 blocks, which it puts at under $2 per invoice. Growth uses volume pricing from sales and adds classification, generative AI and Python blocks, ERP integrations and volume discounts. Enterprise is custom with SSO, HIPAA, SOC 2 and private deployment.

Limitations to keep in mind

  • Per-block pricing means costs depend on how you design each workflow
  • Setting up validation rules and integrations takes time before automation pays off
  • ERP connectors, custom Python blocks and classification require the Growth tier
  • Unusual or poor-quality documents still need human review

Nanonets vs alternatives

LlamaIndex is better for developers who want to parse documents for their own AI applications and are comfortable building the pipeline themselves. JPG2Excel is a simple, low-cost way to turn an image of a table into a spreadsheet when you do not need workflows. Adobe Acrobat AI Assistant helps individuals read, summarize and ask questions about PDFs rather than extract data at scale. Nanonets wins when you need end-to-end document processing with validation, approvals and posting to business systems.

Tips for getting started with Nanonets

Start with one document type, such as vendor invoices, and collect a sample of real files that covers your common layouts. Use the free credits to build a workflow and check extraction accuracy on those samples before connecting your ERP. Keep human review on for the first weeks, then relax it for vendors with consistent results. Count the blocks in your workflow to estimate monthly cost before choosing a plan.

Nanonets FAQ

Is Nanonets free?
Nanonets is not free long term, but every account starts with $50 in free credits. The Starter plan then costs $100 per month for 100 credits.
What is Nanonets used for?
Nanonets is used to extract structured data from invoices, purchase orders, claims and other documents and to automate workflows such as accounts payable.
Does Nanonets have an API?
Yes. API access is included from the Starter plan, along with email and cloud storage integrations for bringing in documents.
Is Nanonets safe to use with company data?
Nanonets lists SOC 2 Type II, GDPR, ISO 27001 and HIPAA compliance, with a BAA, private cloud and on-premise options on enterprise plans.

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