
Nanonets automatically extracts, validates, and routes data from invoices, purchase orders, and insurance documents to streamline accounts payable, order processing, and underwriting workflows.
Nanonets is an intelligent document processing platform designed to automate data extraction from complex, document-heavy workflows. It uses OCR, machine learning, and no-code workflows to convert unstructured documents—such as invoices, purchase orders, forms, and contracts—into structured, usable data. Its primary purpose is to reduce manual data entry, improve accuracy, and accelerate processes in areas like accounts payable, order processing, and insurance underwriting.
Nanonets supports a wide range of document types and layouts, including scanned PDFs, images, handwritten documents, and emails. Users can build custom models or leverage pre-trained templates for invoices, receipts, ID documents, bills of lading, and more, without needing data science expertise. The platform includes validation rules, confidence scoring, and human-in-the-loop review to ensure data quality, as well as workflow automation to route documents, trigger approvals, and sync data. It integrates with ERPs, CRMs, and accounting systems such as SAP, QuickBooks, Xero, and Salesforce via APIs and native connectors, enabling end-to-end automation.
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