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Nanonets is a company that provides AI-based solutions for intelligent document processing. It uses self-learning OCR (optical character recognition) to automate data capture from various types of documents, such as invoices, receipts, passports, ID cards and more.
Nanonets OCR can read and understand documents that do not follow a standard template, unlike generic OCR software. It can also extract only the fields that the user needs, and validate the captured data quickly. Nanonets OCR learns and improves with every new document processed, increasing its accuracy and efficiency over time. Nanonets also offers seamless integration with various platforms and workflows, such as email, SAP, QuickBooks and more. Nanonets has been trusted by over 10,000 customers across the globe, and has received high ratings and reviews on G2, Capterra and GetApp. Nanonets aims to eliminate tedious data entry and help businesses save time and money with its powerful online OCR tool.
Self-Learning OCR
Multi-Document Support
Real-Time Processing
User-Friendly Interface
Customizable Workflows
Secure Data Handling
01
What types of documents can Nanonets process?
Nanonets can process a variety of documents including invoices, receipts, passports, ID cards, and many more.
02
How does Nanonets ensure data accuracy in document processing?
Nanonets uses self-learning OCR technology that continually improves its accuracy by learning from the data it processes, ensuring high-quality results.
03
Is Nanonets easy to integrate with existing systems?
Yes, Nanonets offers flexible API integrations that make it easy to connect with your existing workflows and systems.
04
What industries can benefit from using Nanonets?
Nanonets can benefit various industries, including finance, healthcare, logistics, and retail, by automating document processing and data extraction.
05
Is there a trial version available for Nanonets?
Yes, Nanonets offers a trial version that allows users to explore its features and see how it can fit their document processing needs.
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