Nanonets is an AI-based platform designed to automate document-heavy business processes. It uses optical character recognition (OCR) and machine learning to extract structured data from unstructured documents such as invoices, receipts, purchase orders, bank statements, and identity documents. The platform enables organizations to build end-to-end document workflows that include data capture, validation, human review, and downstream system integration without requiring extensive coding. Nanonets supports processing of documents via upload, email, or API, and allows users to train custom models on their own document types. It is used across finance, accounting, logistics, and operations teams to reduce manual data entry, accelerate invoice processing, automate accounts payable workflows, and improve data accuracy. The platform integrates with ERP systems, accounting software, and other business tools to push extracted data directly into existing systems of record.
Target audience and deployment
- Startup
- SMB
- Mid-market
- Enterprise
- Cloud
- API
Key features
Use cases
- Automate invoice and accounts payable processing
- Extract data from receipts and expense documents
- Process identity and KYC documents
- Automate purchase order matching
- Build custom document extraction models
- Integrate extracted data into ERP and accounting systems
Best for
- Finance teams who need to automate invoice processing and accounts payable workflows
- Operations managers who need to eliminate manual data entry from document-heavy processes
- Accounting professionals who need to extract and reconcile data from receipts and purchase orders
- Developers who need to embed document AI and OCR capabilities into existing applications via API
Integrations
Automation platforms
Zapier, Make
Communication
Gmail, Outlook
Developer
REST API
Other
QuickBooks, Xero, NetSuite, SAP, Tally, Google Drive, Dropbox, OneDrive