Facia vs FaceTec Facia vs FaceTec Your Verification Flow IsLosing You Customers FaceTec puts users through 100 frames, forced movements, and a 10-second wait. Facia reads one selfie and gets out of the way. Same security. Far fewer drop offs. Access Now See Full Comparison The threat FaceTec misses FaceTec checks at enrollment The fraud happens during the call FaceTec verifies once and stops there. Facia detects deepfakes in real time, flagging face swaps and synthetic faces the moment they appear. Facia: Real-time detection during calls FaceTec: Enrollment only, blind to live fraud The Rejection You Never See Coming Every false rejection is a customer you paid to lose A user who fails verification does not complain. They leave and take their revenue with them. Facia's 0% FAR means genuine users always get through. Global accuracy gap Your users in emerging markets deserve the same accuracy FaceTec has higher error rates on South Asian faces. Facia delivers consistent accuracy regardless of ethnicity, skin tone, or region. Where the difference becomes real Three capabilities FaceTec cannot match Publicly certified. Not just claimed Facia is NIST ranked and iBeta Level 2 certified. FaceTec has no public benchmark to verify. Works where your users actually are Facia works in low light, with glasses or beards, on budget phones. FaceTec needs controlled conditions to operate. FaceTec captures. Facia integrates Facia uses pre-captured images with lightweight APIs and 5MB SDKs. FaceTec is capture only, no image upload, closed SDK. Full comparison Everything side by side.Nothing hidden. A complete look at where each platform stands across every capability that matters. Capability ◆ Facia FaceTec Liveness method Single-frame passive Zero user instruction Multi-frame guided, 100 plus frames Movement required Verification speed 1 to 3 seconds Industry leading 10 plus seconds High abandonment risk Deepfake detection Images, video and live calls at 95% accuracy Real-time coverage Static images only No live video detection Live video fraud Active detection during calls Unique capability Not available Critical blindspot NIST ranking NIST FRTE ranked, publicly verifiable Trusted Benchmark No public NIST ranking Unverified claims Spoof certification iBeta Level 2, 53 plus attack types, 0% FAR Independently certified iBeta certified, limited published scope Limited transparency Passive liveness Single frame, no user action required Highest completion rate 100 plus frames required High friction on weak networks Real-world conditions Low light, accessories, glare, legacy devices Battle-tested Requires controlled conditions Struggles in the field Demographic accuracy APAC, MENA, South Asia optimised Consistent globally Higher error rates on South Asian faces Emerging market risk Deployment model Cloud, on-premise, hybrid, open APIs Full flexibility Closed SDK only No deployment flexibility Device support Any device, low bandwidth supported Universal access Requires stronger devices and network Not built for all users Age verification 16 plus, 18 plus, 21 plus thresholds built in Regulatory ready Basic estimation only, no compliance thresholds Compliance gap KYC coverage Identity plus fraud detection, one vendor Complete stack Face biometrics only Needs additional vendors Trusted and Certified for Compliance Fastest Liveness Detection Technology Frequently Asked Questions What is photo ID matching? Photo ID matching verifies identity by comparing a user's selfie with their official ID photo. To make sure both photos are of the same person, it makes use of facial recognition technology. What is the difference between photo ID and face ID matching? While face ID matching compares a live face to a stored biometric template, photo ID matching checks a face against an image from an ID document. While the latter verifies users directly, the former verifies identity documents. Is photo ID matching used in online onboarding? Yes, online onboarding frequently uses photo ID matching to remotely verify users. It assists companies in preventing identity fraud and adhering to KYC. What types of photo IDs are accepted for verification? Generally, national ID cards, driver's licenses, and passports are accepted forms of identification. Valid credentials and a clear photo are required for these documents. Is liveness detection included in Facia’s photo ID matching? Indeed, Facia combines photo ID matching with sophisticated liveness detection. It guarantees that the user is not using spoof or fake images and is physically present. Why photo id matching is important? In order to confirm an individual's identity and stop identity theft, photo ID matching is essential. It guarantees safe service access, particularly in regulated or high-risk settings.
