Would you like to use APIs for identity verification and you do not know which one? In this article we have brought you the best 3 identity verification APIs in 2022.
Both the means by which our online identities are validated and digital transactioning are evolving. Biometrics are the foundation of Digital Identity Authentication (DIA), which enables machines to perform ID verification and checking in machine-enabled transactions. This procedure aims to create the same impression of security and trust as paper-based credentials and in-person ID verification.
Face verification works by 1:1 matching, and its identity verification mode is basically a computer’s rapid face matching between the present face and the portrait database, and the process of determining whether it matches or not, which can be simply described as demonstrating that you are you. First, we must identify ourselves to the facial recognition system. Next, we must stand in front of the device and allow it to recognize and verify if we match.
Artificial intelligence now supports biometric face verification, giving it an advantage over all other forms of verification. Due to its resilience, the market’s size has grown, and analysts anticipate a large expansion in the coming years. The face recognition market was valued at USD 3.9 billion in 2019 and is expected to reach USD 7 billion by the end of 2024, according to a Statista analysis.
So, if you need to use APIs for identity verification, we have made a list for you of the best 3 ones available on the web nowadays. Moreover, they are really simple to use and we can guarantee you that you will not waste time and money.
You may determine whether a person appears the same in two images by using the Face Comparison API. The two images can be compared using our artificial intelligence to see if they actually show the same person. Our AI will take care of everything else; the API will only need the Base64 or picture URLs.
Additionally, you can use our artificial intelligence to compare the two images to see if they indeed depict the same individual. For instance, you might use this API to facilitate user registration in bank apps or set up a face verification checkpoint at work.
2. CompreFace
Compreface has only received roughly 2000 stars since it was uploaded on GitHub in July 2020, but it appears to be quite promising. One docker-compose command will launch CompreFace, one of the few self-hosted REST API face recognition solutions on our list. You don’t need to be a machine learning engineer to implement it because it has a REST API; it’s simple to incorporate into your system.
You may simultaneously recognize faces on multiple video streams thanks to the scalability of the system. Additionally, CompreFace offers a simple user interface (UI) for controlling user roles and face collections.
3. Face++
Face++‘s unusually limited without cost plan means there is no guarantee that your application will function at any given time. They offer limitless requests, but they can only be made three times per second and they are divided among all users. Additionally, you should be aware that compensated requests are twice as expensive as other top providers – Amazon and Microsoft both charge $1 for every 1,000 recognitions.
Face++, however, provides a wide range of extra services and supports the most SDKs, including Python, PHP, Java, Javascript, C++, Ruby, iOS, and Matlab (emotion recognition, landmark detection, age estimation, and gender recognition).