Nanonets OCR consultants

We can help you automate your business with Nanonets OCR and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Nanonets OCR.

Integration And Tools Consultants

Nanonets Ocr

About Nanonets OCR

Nanonets OCR is an advanced optical character recognition (OCR) solution that leverages artificial intelligence and machine learning to extract text from various types of documents and images. It provides highly accurate text extraction capabilities for structured and unstructured documents, including handwritten text. Nanonets offers a user-friendly API and no-code interface, making it easy to integrate OCR functionality into existing workflows and applications. The tool supports multiple languages and can handle various document formats such as PDFs, images, and scanned documents. Nanonets OCR is particularly useful for automating data entry, digitizing paper documents, and streamlining document-based processes in industries like finance, healthcare, and logistics. Its AI-powered approach allows for continuous improvement in accuracy and adaptability to different document types and layouts.

Nanonets OCR FAQs

Frequently Asked Questions

How can Nanonets OCR be integrated into our existing systems and workflows?

Is it possible to use AI agents to automate how we interact with Nanonets OCR?

What are common use cases for integrating Nanonets OCR in larger digital ecosystems?

Can Nanonets OCR be part of an end-to-end automated workflow across multiple departments?

What role can AI play when integrating Nanonets OCR into our operations?

What are the key challenges to watch for when integrating Nanonets OCR?

How it works

We work hand-in-hand with you to implement Nanonets OCR

Step 1

Process Audit

Our consultants conduct a comprehensive assessment of your existing document processing workflows, examining current OCR requirements, document types and volumes. We analyse manual touchpoints, identify bottlenecks, and document compliance requirements to establish a clear baseline for your Nanonets OCR implementation.

Step 2

Identify Automation Opportunities

Based on the audit findings, we map specific opportunities where Nanonets OCR can deliver maximum value. Our team evaluates document complexity, language requirements, and integration points while quantifying potential time and cost savings across departments to build a robust business case.

Step 3

Design Workflows

Our specialists design optimised workflows that leverage Nanonets’ AI capabilities, creating detailed process maps for each document type. We architect integration touchpoints with existing systems, define exception handling procedures, and establish governance frameworks to ensure seamless operation.

Step 4

Implementation

Working closely with your team, we configure Nanonets OCR according to the approved design specifications. This includes setting up custom extraction models, establishing API connections, implementing security protocols, and conducting thorough user training to ensure proper system utilisation.

Step 5

Quality Assurance Review

Our quality assurance team conducts rigorous testing of the implemented solution, validating extraction accuracy across different document types. We perform load testing, verify integration points, and fine-tune the AI models to meet or exceed accuracy requirements before final sign-off.

Step 6

Support and Maintenance

Post-implementation, we provide ongoing support to maintain optimal system performance. Our team monitors extraction accuracy, implements periodic model refinements, and offers technical assistance. We conduct regular reviews to identify opportunities for further automation and enhancement.

Transform your business with Nanonets OCR

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Nanonets OCR consultation.