Nanonets

Nanonets uses machine learning to read unstructured documents—invoices, purchase orders, ID cards, contracts—and turn them into structured data you can push into databases, ERPs, or spreadsheets. It's built for teams drowning in paper or PDF workflows.

What it does

You upload sample documents (or use pre-built models), Nanonets learns to identify fields like invoice number, date, line items, and total. It then processes new documents automatically, with a review interface for corrections. Integrations with Zapier, QuickBooks, and Salesforce handle the output.

Best for

• Finance teams automating accounts payable invoice processing
• Logistics companies extracting data from shipping documents and bills of lading
• HR departments digitizing employee ID cards, contracts, and forms

Strengths

• Pre-trained models for common documents (invoices, receipts, passports) work out of the box
• Custom model training with as few as 10 documents
• Integrates with Zapier, QuickBooks, Salesforce, and REST APIs

• Pre-trained OCR models — Ready-to-use for invoices, receipts, ID cards, passports, and more
• Custom model training — Upload 10+ documents, label fields, train your own extraction model
• Review interface — Human-in-the-loop to correct AI predictions before export
• Zapier & API integrations — Push extracted data to 2000+ apps
• Batch processing — Upload hundreds of documents at once
• Multi-language support — Reads documents in 100+ languages