API calls

17b until 2026

Market valuation


Faster customer onboarding

Digital identity verification

Digital identity verification is especially important these days because many transactions take place remotely, and identity theft and cyberattacks have increased dramatically during the global pandemic. PresentID provides a seamless remote user identity verification solution through the combination of in-house developed technologies including ID card OCR + dynamic face liveness detection + voice verification + eye tracking to ensure the highest levels of accuracy in identity verification and fraud detection.

High accuracy
Fully customizable
On premise (on your server)
Easy integration
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Use cases

Providing proof of life remotely is very easy with biometric technology. It helps build user trust and speed up authentication. It also prevents users from remembering multiple passwords and switching between devices. Increasingly, governments and organizations around the world are choosing biometric technology to combat identity fraud to protect access and data, reduce costs, and improve the overall user experience.

Face Biometrics

Dynamic face liveness detection

One of the key elements of the online identity verification process is dynamic face liveness detection. PresentID dynamic face liveness detection can detect whether the person in front of the video is real or fake. It can tell if the user is physically present. It prevents masks, photos or video deepfakes from fooling the system. We use convolutional neural network (CNN) deep learning algorithms to prevent fraud. We use a combination of biometric authentication algorithms such as face, voice, eye, head detection and tracking to have the highest accuracy to prevent fraud.

Server-side processor based
Web client SDK and API
Verify identity
Easy integration
Free try
Voice Biometrics

Speaker verification

To maintain authentication at an optimal level of security, in the third part, we ask the user to read a randomly displayed message. By comparing the latest voice to the new, our platform can clearly confirm whether the person is exactly the right user.

Accuracy greater than 90%
No GPU needed
Language and text independent
Easy integration
Free try
Video analysis

Video analysis

We provide smart solutions for detecting, counting, and analyzing the video. We can detect and count the faces, people, cars, bicycles, etc. We do this automatically using Artificial intelligence and machine learning models.

Improve security:
Optimize operations:
Enhance customer experience:
Increase safety: & Reduce costs:
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Try web SDKs for free


Dynamic face liveness detection

PresentID dynamic face liveness detection can detect whether the person in front of the video is real or fake.


PhotoID matching
(PhotoID and liveness)

The PresentID PhotoID matching (face matching) API evaluates whether two faces belong to the same person or not.


Face match
(Selfie and liveness matching)

PresentID selfie matching compares selfie image with liveness and shows whether or not they belong to the same person.


Profile pic matching
(Profile pic and liveness)

PresentID profile pic matching compares profile picture with liveness and shows whether or not they belong to the same person. (Liveness = liveness detection)


MRZ scanner

PresentID MRZ scanner API locates and recognizes machine readable zone/travel documents (MRZ/MRTD) from single input image.

Request free trial SDK

To request a free trial SDK, refer to service request page

Biometric authentication

Establishing trusted identities consists of registering the identity and verifying its authenticity. We provide the workflow process for identity registration and for applicant biometric verifier registration.

Biometric sign in


Biometric enrollment


PresentID awards

TechCrunch 2019

Selected as one of the top founders by 50intech in TechCrunch 2019.

Blackfin and French fintech

Featured in panorama of French fintech startups by blackfin and France fintech.

TechCrunch2019 ibridge IFTA 2020 techcrunch nvidia

IFTA 2020

Selected as a finalist in the "best use of AI in financial technologies" category at ifta2020.

AI startups led by women

NVIDIA has released its female-led AI startups in the EMEA region and we are proud to be part of the NVIDIA cybersecurity ecosystem.


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