What is Nanonets?
Nanonets is an AI‑powered document processing platform that captures structured data from invoices, purchase orders, receipts, passports, ID cards, bills of lading, and bank statements without relying on predefined templates. It supports end‑to‑end workflows, including email ingestion, automated data extraction, decision‑engine validation, and export to CRMs, ERPs, or flat‑file formats such as CSV or XML.
The platform integrates natively with Salesforce, HubSpot, Airtable, Microsoft Dynamics, and other cloud services to enable accounts‑payable automation, three‑way matching, and real‑time reconciliation. Finance, accounting, supply‑chain, HR, customer‑support, and legal teams can deploy no‑code automation to reduce manual effort, accelerate invoice processing, and improve data accuracy.
Use cases span accounts payable, account reconciliation, insurance underwriting, loyalty programs, document archiving, and property‑management workflows. Nanonets maintains data confidentiality under GDPR, SOC 2, and HIPAA compliance frameworks. It offers an API for custom extensions and a visual workflow designer for rapid deployment across banking, insurance, healthcare, logistics, and real‑estate sectors.
Nanonets pricing Freemium
Verify on the official pricing page.
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Nanonets's key features
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Invoice data extraction
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2-way/3-way matching
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Automated approval workflows
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Real-time financial reporting
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Seamless ERP integration
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Expense capture & categorization
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AI-powered reconciliation suggestions
Nanonets use cases
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Automate invoice reconciliation for a global manufacturing firm by extracting line‑item data from unstructured PDFs and instantly syncing with SAP, eliminating manual entry and reducing processing time
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Build a no‑code HR onboarding portal that captures employee IDs and contracts, pulls key data into Workday, and triggers approval workflows with instant notifications
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Deploy a legal document audit tool that parses contracts, extracts clauses and deadlines, and feeds structured data into a compliance dashboard, all without writing code or maintaining templates
Who is it for?
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Data processors
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Document analysts
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Ocr engineers
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Information analysts
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Automation engineers