Aadhaar Masking Model

DeepLobe's pre-trained Aadhaar Masking model is designed to automatically detect and mask Aadhaar numbers in documents and images. This model helps organizations comply with privacy regulations by protecting sensitive personal information, ensuring data security and confidentiality.

How the Aadhaar Masking Model Works:

The Aadhaar Masking model utilizes advanced image recognition and OCR technology to analyze documents and images for the presence of Aadhaar numbers. It has been trained on a comprehensive dataset of Aadhaar images and documents, enabling it to accurately locate and mask the Aadhaar number wherever it appears. When a new document or image is processed, the model identifies the Aadhaar number and obscures it, preserving the privacy of the individual.

Testing the Aadhaar Masking Model: 

To test the capabilities of the Aadhaar Masking model, follow these steps:

1. Select a document or image from the provided sample images or upload your own images or URLs. 

2. Click the "Run model" button to initiate the masking process. 

3. The model will process the document or image, detect the Aadhaar number, and apply masking to obscure it.

API Integration:

If you are satisfied with the results obtained, you can seamlessly integrate the Aadhaar Masking model into your existing systems or applications. Here's how:

1. Click on the "Sample code" button to access a few lines of code.

2. Copy and paste the provided code into your application.

3. Replace the placeholder "REPLACE_API_KEY" with the API key generated for your account.

For information on generating an API key, refer to the "Create an API Key" section in the documentation. 

API Documentation: 

For comprehensive information on using the Aadhaar Masking model via the API, consult our API documentation. It provides detailed guidance and examples to help you effectively leverage the model within your applications.