What is Nanonets?
Nanonets revolutionizes document processing by leveraging advanced artificial intelligence and optical character recognition (OCR) to convert unstructured documents into structured, actionable data. The platform automatically extracts key information from a wide variety of documents, including invoices, receipts, purchase orders, identity documents, and forms. It offers both pre-trained models for common document types and the ability to train custom models on specific data, ensuring high accuracy even for complex layouts. Nanonets simplifies integration with existing systems through RESTful APIs, webhooks, and native integrations with popular tools like Zapier, Salesforce, and QuickBooks. Its no-code interface allows non-technical users to set up extraction workflows in minutes. Additionally, the platform provides a user-friendly dashboard to review, correct, and export extracted data. With features like batch processing, real-time validation, and multi-language support, Nanonets significantly reduces manual data entry overhead, minimizes human error, and accelerates document-intensive processes. It is trusted by enterprises and small businesses alike to handle millions of documents per month, achieving up to 99% accuracy. The platform also offers robust security measures including SOC 2 Type II compliance, data encryption, and role-based access controls, making it suitable for industries with strict regulatory requirements such as finance, healthcare, and logistics. Nanonets enables organizations to unlock the value of their document data, save countless hours, and focus on higher-value tasks.
Use Cases
Key Features
Pre-trained OCR models for invoices receipts forms and more Custom model training with minimal sample data No-code workflow builder and API integration Batch processing and real-time data extraction Multi-language support and intelligent document validation Role-based access control and SOC 2 Type II complianceWho is it for?
Businesses, finance teams, operations managers, accountants, and developers looking to automate document processing and data entry.
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