Question 1

What types of documents can Nanonets process?

Accepted Answer

Nanonets excels at processing a wide range of unstructured documents, including invoices, receipts, purchase orders, contracts, insurance claims, forms, and more. It can handle various formats and layouts.

Question 2

How accurate is Nanonets' data extraction?

Accepted Answer

Nanonets leverages deep learning models to achieve industry-leading accuracy in data extraction. Accuracy rates typically exceed 90%, and the platform allows for human-in-the-loop validation to further improve results.

Question 3

Does Nanonets integrate with my existing systems?

Accepted Answer

Yes, Nanonets offers a robust API and pre-built integrations with popular business applications like NetSuite, SAP, Salesforce, and more, enabling seamless data flow and workflow automation.

Question 4

How does Nanonets handle document security and compliance?

Accepted Answer

Nanonets prioritizes data security and compliance. The platform employs industry-standard security protocols, including encryption and access controls, and adheres to relevant data privacy regulations.

Question 5

What is the learning curve for implementing Nanonets?

Accepted Answer

Nanonets is designed for ease of use. The intuitive interface and guided setup process minimize the learning curve. Dedicated support and comprehensive documentation are also available.

Question 6

Can I customize Nanonets to extract specific data fields?

Accepted Answer

Absolutely. Nanonets is highly customizable. You can define custom data fields and extraction rules to tailor the platform to your specific document types and business requirements.

Question 7

What kind of support and training does Nanonets offer?

Accepted Answer

Nanonets provides comprehensive support, including detailed documentation, video tutorials, a knowledge base, and responsive customer support via email and chat.

Question 8

How does Nanonets compare to traditional OCR solutions?

Accepted Answer

Unlike traditional OCR, Nanonets utilizes AI and deep learning to understand the *context* of the data, resulting in significantly higher accuracy, especially with complex or poorly formatted documents. It also automates the data extraction process, reducing manual review.

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