Face Match API

Use Face Recognition Technology To Accurately Match Faces.

Compare two faces and detect similarities with high accuracy to ensure its’ the same person through our Face Match API. Get a confidence score after comparing two face images and assure the fraudulent and imposters are at bay.

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Your success metric is our only performance metric.

Applicant
growth

Reduced fraud

Cost reduction

Less customer
drop-offs

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Applicant
growth

0 %

Reduced fraud

0 %

Cost reduction

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Less customer
drop-offs

Onboard users globally, stay compliant locally.

We are available across 180+ countries worldwide!

Onboard only genuine customers with the face match API.

Verify customer identity in real-time within seconds.

We retrieve the images after cropping from the driver’s license, and then using our AI–driven decision engine the images are compared with the real-time selfie or short video uploaded by the user.

Give a frictionless onboarding experience.

Ensure there are no hiccups or long pauses during the onboarding process, complete the whole process in a few seconds with an interactive UI experience.

Elevate your verification process with face mask detection.

Signzy detects the mask on the face of the user by identifying facial landmarks on the face and provides the response to the client with a confidence score.

Go live in just 2-4 weeks!

Good things come to those who wait, but we have saved
something better for you.

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Signzy's KYC verification suite for you!

Effortlessly authenticate documents such as passports and driver’s licenses for over 200 countries to validate the ages and expedite your onboarding procedures significantly.

Confirm the government documents with biometric verification and safeguard against the cases of stolen IDs. And protect your business from imposters to effectively reduce the risk of fraud.

Need a custom solution? We’re ready to build your vision.

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Our Success Stories

Seema Kumar

Country Leader, IBM India

It is answering the question, how do you build trust online.

It uses APIs on visual recognition to build digital trust.

Bala Srinivasa

Managing Director, Arkam Ventures

We were attracted to the founder’s clarity of thought

and their early proof points in building a proprietary platform that could become an industry.

Rajan Anandan

Managing Director, Sequoia Capital and Surge

Signzy is a standout example of tech-enabled disruption.

Ashith Kampani

Chairman, Cosmic Mandala15 Group

Signzy is redefining the limits of innovation in building trust online.

They are committed to delivering a secure and positive experience to their clients.

FAQs for Face Match API and Face Mask Detection

What is the Face Match API?

The Face Match API is a tool used to determine whether two images belong to the same person. By comparing the two images, it provides a ratio of similarity and a match percentage to help verify if the images are of the same individual.

How do I use the Face Match API?

You can use the API by uploading two images or providing URLs for the two images you want to compare. Optionally, you can set a threshold value between 0.05 and 0.95 to determine the minimum match percentage required for a result to be considered true.

What kind of results can I expect from the Face Match API?

The API returns the following:

Verified: True or False, indicating whether the images match.
Message: A description of whether the verification was successful or not.
Match Percentage: The percentage of similarity between the two images.

What is the purpose of the optional threshold value?

The threshold value helps you set the sensitivity of the match. If the match percentage is greater than or equal to the threshold, the result will be True; otherwise, it will be False. This allows you to adjust the API’s precision based on your needs.

What is Face Mask Detection?

Face Mask Detection is a feature developed by Signzy to identify whether a user is wearing a mask or not during remote onboarding processes. It uses facial landmarks to detect mask usage and provides a confidence score to indicate the accuracy of the detection.

How does the Face Mask Detection process work?

The end customer provides a selfie.
The client sends the selfie image to Signzy.
Signzy detects if the user is wearing a mask by analyzing facial landmarks.
Signzy returns a response indicating whether a mask is detected, along with a confidence score.

What are the key features of the Face Mask Detection?

Accuracy: More than 98%.
Platform Agnostic: Works with RESTful API.
Response Time: Less than 3 seconds.
Data Security: Secure storage and purging policy.
Image Formats: Supports JPG and PNG.
Max Image Size: 7 MB.

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