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Nanonets

Nanonets is an AI document processing platform that extracts structured data from unstructured documents — invoices, receipts, contracts, forms, bank statements, and identity documents — automatically, so teams can stop manually keying data from PDFs into spreadsheets and databases

Free Plan AI Data Analysis

Nanonets is an AI document processing platform that extracts structured data from unstructured documents — invoices, receipts, contracts, forms, bank statements, and identity documents — automatically, so teams can stop manually keying data from PDFs into spreadsheets and databases. Its OCR and machine learning models are trained on document-type-specific patterns, producing extraction accuracy above 95% on supported document types. Finance teams use it to automate accounts payable by extracting invoice line items and routing them to approval workflows. HR teams process offer letters and onboarding forms. Logistics companies extract customs declarations and bills of lading. Nanonets connects extracted data directly to downstream systems via Zapier, API, or native integrations with QuickBooks, SAP, and NetSuite, making it a drop-in automation for any document-heavy workflow.

Rating ★★★★★ 4.4/5
Pricing Free trial / $49/mo
Category AI Data Analysis
Last Updated 2026-06-01
Free
$0/month
  • Trial or demo available
  • Pro ⭐
    $mo/month
  • AI OCR — Extracts text, tables, and key-value pairs from scanned PDFs, photos, and digital documents with high accuracy.
  • Document classification — Automatically identifies the type of document (invoice, receipt, contract) before extraction.
  • Advanced capabilities
  • Try Nanonets Free ↗

    What is Nanonets?

    Nanonets is an AI document processing platform that extracts structured data from unstructured documents — invoices, receipts, contracts, forms, bank statements, and identity documents — automatically, so teams can stop manually keying data from PDFs into spreadsheets and databases. Its OCR and machine learning models are trained on document-type-specific patterns, producing extraction accuracy above 95% on supported document types. Finance teams use it to automate accounts payable by extracting invoice line items and routing them to approval workflows. HR teams process offer letters and onboarding forms. Logistics companies extract customs declarations and bills of lading. Nanonets connects extracted data directly to downstream systems via Zapier, API, or native integrations with QuickBooks, SAP, and NetSuite, making it a drop-in automation for any document-heavy workflow.

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    Key Features

    Here's what makes Nanonets stand out:

    • AI OCR — Extracts text, tables, and key
    • Document classification — Automatically identifies the type of document (invoice, receipt, contract) before extraction.
    • Custom model training — Train extraction models on your specific document formats for higher accuracy than generic OCR.
    • Approval workflows — Route extracted data through multi
    • ERP integrations — Connects to QuickBooks, Xero, SAP, NetSuite, and Salesforce for end

    Pros & Cons

    ✅ Pros

    • 95%+ extraction accuracy on supported document types
    • Custom model training without data science expertise
    • ERP integrations for accounts payable automation
    • Document classification saves manual sorting

    ❌ Cons

    • Expensive for low-volume use cases
    • Custom training requires sample documents
    • Complex table extraction can miss merged cells
    • No free plan — trial only

    Our Rating

    4.4
    ★★★★★
    Based on 168 user reviews
    AsmiAI Verified Rating · 2026-06-01
    Ease of Use
    4.5
    Features
    4.3
    Value
    4.2
    Support
    4.1

    Who Should Use Nanonets?

    Nanonets is used by professionals across ai data analysis workflows. Common use cases include ai ocr, document classification, custom model training.

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    Final Verdict

    Nanonets is a strong choice in the AI Data Analysis space. 95%+ extraction accuracy on supported document types.

    Start Using Nanonets ↗

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