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AI-Powered Face Recognition API for Fintech

Integrate facial recognition into your Fintech solution using our cloud API. Accurately recognize and compare human faces. Identify people who have been previously tagged in images. Detect age, gender, and emotions in photos.

500 API requests monthly for FREE.
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Why Luxand.cloud Face Recognition API?

Secure Cloud Storage
This is useful if you need a face database for different devices or services. We don't store any photos, only neural network templates that can't be used to recover photos, so it's very safe to use.
Supported Programming Languages
The programming languages that support the face recognition API can all make API requests. For most of them we've code examples that you can simply copy and paste into your project.
High Performance
The high CPU in our cloud servers guarantees maximum performance for all the features we offer. Face recognition, for example, takes only 60ms.
More Cost-Effective
The cheapest plan costs only $19/month and includes 1000 requests.
This is one of the most cost-effective solutions on the market today.
Highly Scalable Solution
We can scale the cloud to meet your needs. If you need to process a large volume of photos, this is the right solution for you.
Turnkey Solution
We've implemented the most useful cases in our API, so you can easily send a request and get a response. You don't have to worry about memory and algorithms.

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Single platform

Face Recognition API, Liveness Detection API, Face Detection API and more.

We bring everything together that is required to build a successful app or software based on the face recognition technology.

Face Recognition API Benefits

Enhanced Security for Transactions

Face recognition technology adds an extra layer of security by verifying user identities during transactions, preventing unauthorized access to accounts. This ensures safer digital payments and protects sensitive financial data.

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Seamless Customer Onboarding

Face recognition technology ensures accurate and efficient identity verification by matching users' live photos with official ID documents. This reduces manual errors and speeds up the KYC process, improving onboarding efficiency.

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Fraud Prevention and Risk Mitigation

By detecting fake identities and ensuring the authenticity of users, face recognition helps fintech platforms mitigate fraud risks. This builds trust and minimizes financial losses for both customers and providers.

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