Liveness Detection with JavaScript liveness detection API allows to determines whether a face in an image is real or a spoof. Our technology is used to build liveness detection applications on different languages including JavaScript.
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iBeta Certified Liveness Detection

iBeta stands as the premier biometrics testing company and a globally renowned quality assurance provider, offering industry certification and software testing services to companies worldwide.

In order to provide the best liveness detection solution,'s liveness detection technology is certified and has passed Level 1 and Level 2 iBeta Presentation Attack Detection (PAD) conformance testing with a perfect PAD score.

Building Liveness Detection Applications with JavaScript

Liveness detection, the technology that confirms a real person is behind the screen, is becoming increasingly important in the era of deepfakes and other fraudulent activities. Developers often choose JavaScript as one of the most popular programming languages for this task since JavaScript offers a wide range of advantages, making it a preferred language for building such applications.

The main advantage of JavaScript is its support by all major web browsers, making it an excellent choice for developing applications that need to run seamlessly across different platforms and devices. Whether on desktop or mobile, a JavaScript-based liveness detection application can be deployed easily.

Liveness Detection Use Cases

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Liveness detection is a useful tool that cryptocurrency exchanges can employ to confirm customers' identities and adhere to Know Your Customer (KYC) rules. Go to our solution page to find out more about KYC - Face Recognition Solution for KYC Identity Verification.
Online gaming platforms leverage liveness detection. This technology helps to verify players are real people, not photos or videos, helping to curb underage gambling and create a fairer playing field for everyone.
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Banking and other financial organizations use liveness detection to confirm customers' identities, stop fraudulent transactions, and verify a new customer's identification when they open an account.
Financial services
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Supported Methods

Liveness detection comes in three main forms: passive, active, and a combination of both (hybrid). Our system integrates easily with different platforms using REST requests and works with various programming languages. It can handle both passive and active checks, which strengthens the overall accuracy and reliability of biometric authentication. This helps in building more complex apps with enhanced security measures to protect against fraudulent activities. API Benefits

The user's data is always protected thanks to the liveness detection API's high level of security. To make sure that the user's personal information is secure throughout the verification process, employs encryption technology.
Our liveness detection API is known for high accuracy in detecting fake faces since it's easily adaptable to various situations and environments, including adjusting for different lighting conditions.
You can use liveness detection API for free to build your app/software! 500 API requests are available monthly for every user, you just need to create an account.
The API is highly accurate and can detect the presence of a fake face with a high degree of certainty. It is also flexible and can adapt to different scenarios and environmental conditions. For example, it can adjust to different lighting
Highly secure
Easy to integrate
Free plan
High accuracy

How to try API?

Read a step-by-step guide on how to try out's liveness detection API.
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Liveness detection API FAQ