The ability to verify the identity of a person is critical for a variety of industries. For example, the financial sector must be able to authenticate customers before providing them with services. The healthcare sector must be able to authenticate patients to provide them with medical care. And the security sector must be able to authenticate individuals to prevent criminal activity.
To empower your identity verification processes in those industries, you can integrate an Identity Verification API into your application or system. This kind of API will enable you to leverage advanced verification techniques and data sources to establish the authenticity and validity of an individual’s identity. Also, it can help you improve your business operations in several ways. First, it can save you time and money by automating ID verification processes. Second, it can help you prevent fraud by ensuring that only legitimate IDs are accepted. Third, it can help you gain valuable insights into your customer base by tracking ID verifications over time.
There are many different types of identity verification APIs available on the market today, so it’s important to choose one that’s right for your needs. Bear in mind to take into account elements like accuracy, simplicity of integration, cost, security, and compliance with privacy requirements when choosing a identity verification API . We’d suggest looking into the Face Match Validator API, which can be accessed via the Zyla API Hub.
Face Match Validator API
The face match validator API is an identity verification API that compares two photos and assigns a similarity percentage. Using this API, you can quickly and accurately determine if the photographs show the same person by using the response’s provided API confidence score. Developers and enterprises need to incorporate these services into various websites or programs for authentication or verification needs.
How To Use The Face Match Validator API?
To use this API, sign up for a Zyla API Hub account and get a subscription to the face match validator API. Then, select the endpoint, input the required information, and make the API call to obtain your results as quickly as possible. Please note, you need to use both the “create task” and “retrieve result task” endpoints of this API to receive a complete response.
To demonstrate this procedure, after selecting the “create task” endpoint, simply alter the URLs for the two photographs you want to analyze. In this case “https://www.eluniverso.com/resizer/enIyz7TJ4b4D6jH-gL_Canu_3gA=/660×371/smart/filters:quality(70)/cloudfront-us-east-1.images.arcpublishing.com/eluniverso/26STVQUY45HHJI7J2ONZWXZD4Y.jpg” and “https://c.files.bbci.co.uk/B2C1/production/_99516754_gettyimages-902386684.jpg”. After making the API call, you will receive the following response (request ID):
{
"request_id": "9e38dbe4-8b6e-4852-a29e-406ef2a27009"
}
Moving forward, we selected the “retrieve task result” endpoint and inserted the request-id. The data obtained after the API call was the following:
[
{
"action": "compare",
"completed_at": "2023-06-22T05:54:32+05:30",
"created_at": "2023-06-22T05:54:28+05:30",
"group_id": "123",
"request_id": "9e38dbe4-8b6e-4852-a29e-406ef2a27009",
"result": {
"image_1": {
"face_detected": true,
"face_quality": "Good"
},
"image_2": {
"face_detected": true,
"face_quality": "Good"
},
"is_a_match": true,
"match_score": 100,
"review_recommended": false
},
"status": "completed",
"task_id": "123",
"type": "face"
}
]
We can infer from this response’s match score of 100% that Oprah Winfrey is the subject of both images.
Integrating an Identity Verification API into your application or system empowers you to establish trust, mitigate fraud, and comply with regulatory requirements. With the help of the Face Match Validator API, you will be able to perform facial recognition checks, validate personal information, screen against watchlists, and streamline your identity verification processes. Why, then, do you still hold back? The amazing face match validator API is now available for use!
