Top Face Match API Providers for Businesses in 2024
Facial biometrics is becoming an integral part of businesses from banking to retail, hospitality to healthcare, education to tourism, and even e-commerce.
Let me give you a real-time example of using it.
When individuals’ identity verification became the hardest part for e-commerce businesses, not particularly to the shoppers but merchants as well, Mastercard turned to facial biometrics.
Particularly addressing which issues?
Whenever a shopper forgets his password to sign in to brands for purchases or they’re not familiar with password recovery processes, businesses just lose their potential customer.
That’s why in 2016, Mastercard launched Identity Check Mobile with the help of facial biometrics technology, where a cardholder takes a selfie and quickly authenticates himself with facial matching.
Thus, face matching not only reduces turnaround time but strengthens security at its best - whose benefits you too can leverage by integrating face match API.
Which will work best for your business? Scroll down slowly to learn about 5 best face-match APIs.
What to Look for A Face Match API Provider?
Before you blindly fall for any face match API partner, better you can compare the best in the market and make an informed decision. Below are some key aspects that you must watch out for:
Official API partner
Ensure the API partner you’re looking for isn’t an unauthorized or unofficial service provider. It’s because protecting your business from unreliability and potential fraud is in your hands. And, violating others' trust may take you towards legal consequences.
Quickest integration
Every official API provider makes their API documentation freely and openly accessible on the web. If your developers read those, they’ll understand how long it’ll take to integrate the platform. Easy and smooth integration not only saves time but also helps in seamless navigation.
Compliance & security
Ensure that the API provider adheres to the updated policies and guidelines to protect users’ identity and prevent data breaches. If they’re not, integrating their API function can make your business vulnerable to dealing with fraud and loss of services.
Scalability
It doesn’t matter when you integrate a face-matching API but your API provider should be able to handle a large volume of data because in the future, you may expand your business, and thus, your customer will grow. So prioritizing API’s scalability from day one can save you from hopping on multiple options and build a robust infrastructure that doesn’t crash.
The Ultimate List of Top Face Match API for Businesses in 2024
There are plenty of face-matching APIs available in the market and exploring them might be difficult for you. So, here a list is curated that can be very closely beneficial to your business.
Lystface
Lystface is a strong facial match API provider that helps businesses like yours who want simpler facial biometrics solutions. Using Lystface’s facial match API, helps you easily identify and match individuals' faces, ditch the age bar and face masking, and experience their several benefits from a user-friendly dashboard.
For example, you're a construction business that wants to use this facial matching API for your own-build attendance system. There, of course, this API cross-verifies attendees' faces by comparing them. After that, it only authenticates those whose image matches perfectly with the given database. Thus, it not only restricts one from bypassing a proxy but also saves you money from bleeding it on unfaithful people. Also, it comes up with automatic data insight that precisely defines your employees' performance.
Furthermore, Lystface provides comprehensive API documentation to help you get your unified API up and running. Using these developer docs, you may properly configure the API and link it to your business software, saving you development time and effort by having the system ready for use quickly.
On top of that, when you sign up with Lystface API, you get a trial to test if this API correctly matches faces or not. This way, you'll be able to experience how it works on a large volume database and how fast and securely it matches different faces before implying it blindly.
All-in-all, using Lystface API means cutting all possibilities for falsification, getting the work done only with authorized people, and some way or other, building credibility and trust within your workplace that impacts your end customers' satisfaction.
Use cases
- Security system: Lystface API just creates a protective shield against unamortized people who either intend to steal one's credit or temper sensitive information by blocking them when faces are not matched.
- Automate attendance system: By incorporating Lystface API, you can easily automate location-based facial attendance record keeping while getting rid of manual interferences and lots of human error. In the business world, it helps to keep an eye on everyone's performance and simplifies processing payroll.
- Authorized access control: Implementing the Lystface API to restrict access by using facial recognition in areas such as office premises, educational campuses, and residential buildings enhances convenience and safety while reducing the likelihood of unforeseen situations.
Pricing
Lystface API’s pricing just fits every business standard that starts at $99+$0.002/transaction along with a 14-day free trial and you can enjoy it only after subscribing to a plan and sharing your credentials. Other than that Basic pricing model, it provides you with other plans:
- Standard: $199+$0.00175/transaction
- Enterprise: $399+$0.001/transaction
Luxand.cloud
The Luxand.cloud Face Matching API enables real-time facial recognition, allowing users to rapidly and reliably compare faces in pictures and videos. One notable characteristic is its ability to detect faces even when they are partially obscured or when the subject's appearance has changed, such as with new hairstyles or facial hair.
Therefore, not surprisingly, it is adaptable for various applications, including retail, healthcare, e-commerce, and more. It gets more while finding uses in social media and entertainment, but how? It may power features like automatic photo tagging and the creation of interactive content based on user faces.
Pricing
- Basic: $19/month.
- Pro: $99/month.
- Ultimate: $249/month.
- Enterprise: To get this custom price, you need to contact Luxand.
Signzy
Among the well-known facial matching APIs, Signzy is the new one that provides a strong API to compare and match individuals’ faces without any obstructions.
For example, when a user is trying to authenticate himself using his driving license, the application with Signzy facial API quickly conducts the database check and verifies those who claim to be the same person.
Not only image verification, but Signzy also works well with identifying and matching faces from videos. Using this more sounds like a reliable and efficient practice that entitles trust and credibility.
Pricing
- To get the details of their pricing module, you need to contact them.
Microsoft Azure API
When modern businesses use facial biometrics to robust security in every inch, Microsoft Azure makes their tasks simpler by providing face match APIs. To determine the accurate comparison between two faces and know whether they both belong to the same person, Microsoft Azure face APIs work on two different modes - matchPerson and matchFace.
The matchPerson mode identifies faces that are similar to each other. MatchFace mode ignores the same-person filter, rather it gives a list of candidate faces that are similar but may not be the same person.
Thus, it addresses "one-to-many" matching of a single face in an image to a set of faces in a secure repository, as well as thorough facial attribute analysis, such as age, gender, emotion, and other facial traits.
Pricing
- Its pricing model is consumption based that means you need to pay for exactly what you use.
AWS Rekognition API
In today’s lineup of top face-match APIs, we have AWS Rekognition, known for delivering highly accurate results using advanced face-matching predictions and facial attribute analysis.
AWS Rekognition operates on a confidence score, where, for instance, a 90% confidence level indicates a much higher likelihood of accurate detection compared to a 60% score, which may suggest a possible mismatch.
To ensure ideal results, it’s essential to set the right confidence thresholds with AWS Rekognition API. For example, an 80% threshold is usually sufficient for casual applications, like matching faces in family photos. However, in security applications, a higher threshold—around 99%—is recommended for more precise matches.
Pricing
- It also comes with a consumption based or pay-as-you-go model but without upfront commitment.
Go and Choose the Face Match API that Suits You Best!
There you’re with a full bucket of top-notch facial matching APIs - which truly can be a game changer for your business.
The work of authenticating one’s identity you may do in hours, now only takes a fraction of seconds.
The aforementioned face-matching APIs leave no room for finding and matching faces from a group of images or providing facial matches by comparing images and save you from dealing with face masking and fraud.
However, while choosing any one of them, keep in mind that scalability, ease of use, cost-effectiveness, and reliability are essential factors based on which you should compare.
And, in these all cases, Lystface API can be your desired companion. Why not Sign up with Lystface API and get hands-on results?
