Nanonets OCR consultants

Nanonets OCR is an AI-powered optical character recognition platform that extracts structured data from documents, images, and PDFs. Unlike traditional OCR that simply converts images to text, Nanonets uses machine learning to understand document layouts and pull out specific fields — invoice numbers, line items, dates, totals, names, and addresses — ready for processing by downstream systems.

The practical impact is significant for any organisation that still manually enters data from documents. Insurance claims, invoices, receipts, medical forms, shipping documents — Nanonets can process these in seconds rather than the minutes it takes a human to read and type the same information. The platform handles messy real-world documents too, including handwritten text, poor scan quality, and non-standard layouts.

Nanonets becomes especially powerful when connected to automation workflows. Our automated data processing team builds pipelines where documents arrive by email or upload, get processed through OCR, and the extracted data flows directly into accounting software, CRMs, or databases — no manual data entry required. We have delivered similar solutions for clients in healthcare, as documented in our patient data entry case study, and for document classification in our medical document classification project.

Nanonets offers pre-trained models for common document types (invoices, receipts, identity documents) and lets you train custom models for specialised documents unique to your industry. For organisations processing high volumes of paperwork, pairing Nanonets with robotic process automation can eliminate entire manual workflows.