Nanonets

Nanonets uses deep learning-based OCR that goes beyond simple text recognition to extract structured key-value pairs, line items, tables, and relational data from documents. The engine handles multi-page documents, rotated or skewed scans, and low-resolution images through automatic preprocessing including deskewing, noise reduction, and contrast enhancement. It supports structured documents like invoices and tax forms, semi-structured documents like bank statements, and unstructured documents like contracts and letters.

The visual workflow builder lets non-technical users design end-to-end document processing pipelines with conditional branching, multi-step approval chains, validation rules, and automated actions. Workflows can route documents to different reviewers based on extracted values (e.g., invoices over $10,000 go to senior approval), trigger email notifications, apply business rules for data validation, and push extracted data to downstream systems via native integrations or API calls. This eliminates the need for custom scripting or developer involvement in setting up automation.

Nanonets provides a broad library of pre-trained models covering many common document types in the IDP category, including invoices, receipts, purchase orders, bank statements, tax forms (W-2, 1099, W-9), identity documents (passports, driver's licenses), insurance claims, medical records, and shipping documents. These models can be deployed immediately without supplying training data, significantly reducing time-to-value compared to platforms that require custom model training for every document type.

The browser-based review interface surfaces only low-confidence extractions for human verification, minimizing reviewer workload while maintaining data quality. Reviewers see the original document alongside extracted fields with confidence scores, and can correct values directly in the interface. All corrections are automatically fed back into the ML model, creating a continuous improvement loop that reduces the proportion of documents requiring review over time.

Nanonets provides native integrations with major ERPs and accounting platforms including QuickBooks, Xero, SAP, Oracle NetSuite, Microsoft Dynamics, and Salesforce, enabling direct data sync without middleware. For broader connectivity, the platform integrates with thousands of additional applications through Zapier and offers a REST API for custom integrations. Document ingestion supports email forwarding, web upload, cloud storage (Google Drive, Dropbox, OneDrive), and programmatic upload via API.