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FACE VERIFICATION
Face Verification with iBeta-Certified Liveness Detection
Built with iBeta-certified liveness detection, our face verification system confirms the presence of a real user in seconds. Protect your business from identity fraud while delivering a smooth onboarding experience.
Proven Impact On
Face Verification
Our Numbers Speak Volumes
<0.01%
False Match
Rate
98.72%
Accuracy Across Millions
Of Verifications
10M+
1:N face record
search in seconds
Powering Compliance at Scale
Why Enterprises Trust Shufti Face Verification Services
Decision-Ready 3D Face Verification
Face fraud is no longer photo vs selfie. Shufti confirms the user is live and physically present using iBeta Level 1 & 2 certified liveness plus 3D depth analysis, returning a clear verification decision built to withstand deepfakes and replay attempts.
Proof of Identity
Shufti is designed to catch modern spoofing vectors in real time, AI deepfakes, screen/video replays, printed photo spoofs, digital injection, and 3D masks, using layered signals like texture/material checks, light/shadow consistency, and depth/shape analysis.
Match You Can Trust
Shufti matches the selfie to the ID photo using facial landmark comparison (68 landmarks) and 3D face reconstruction to validate depth consistency and reduce 2D spoof risk.
Scale Controls for Repeat Fraud
Prevent multi-accounting and identity recycling with Duplicate Account Detection and optional 1:N face matching, searching across 10M+ records within seconds when historical data is available, so repeat fraud is blocked, not just first-time spoofing.
POWERING TRUST WITH iBETA-CERTIFIED FACE LIVENESS
End-to-End Face Verification Software Built to Defeat Spoofs
Smart Face Liveness
Passive Liveness
Runs silently to confirm a real human is present, analyzing texture, reflections, and depth cues without adding friction.
Active Liveness
Steps up assurance when risk is high with guided in-frame capture, harder to spoof with replays or scripted media.
3D Depth & Shape Analysis
Validates real facial geometry to stop flat attacks like printed photos and screen replays, even when the image looks “real.”
Deepfake, Replay & Injection Defense
Detects AI deepfakes, video/screen replay, and injected streams in real time using layered liveness signals.
Identity Matching & Risk Controls
Document–Selfie Matching
Binds the ID photo to the live user so you verify identity and presence in one flow.
68 Facial Landmark Analysis
Compares facial structure between ID and selfie with high precision, tolerant to real-world changes like facial hair and aging.
Duplicate & 1:N Face Matching
Detects repeat fraud and multi-accounting by matching one selfie against previously verified users, scales to 10M+ records when enabled.
Flexible Integration for Your Stack
Single API
Embed face verification anywhere, onboarding, step-up actions, and account recovery, with fast decision responses.
Web & Mobile SDKs
Secure capture on web, iOS, and Android with controls designed to reduce replay and injection-style bypass attempts.
Back Office & Decisions
Get clear pass/fail outcomes with reason signals so fraud and ops teams can act quickly with confidence.
Journey Builder & Webhooks
No-code orchestration to create dynamic workflows (e.g., "If Docless fails, trigger POA").
FROM SELFIE TO VERIFIED USER IN 4 STEPS
How Shufti's Face Verification Process Works
01
STEP 01
Capture A selfie
The user takes a selfie on web or mobile. Shufti guides framing and quality so the capture is usable the first time.
02
STEP 02
Prove Live Presence
Liveness runs instantly in the background. If risk is higher, Shufti steps up, confirming it’s a real person, not a replay.
03
STEP 03
Detect spoofs & deepfakes
Shufti detects AI deepfakes and spoof attempts like screen/video replays, printed photos, masks, and injected feeds using layered signals.
04
STEP 04
Match, Decide, & Scale
Shufti matches the selfie to the verified ID photo and returns a clear decision. Optional duplicate checks help stop repeat abuse at scale.
Where AI Face Verification Fits Best
Built For Regulated & High-Risk Businesses
Trusted Sellers, Repeat Fraud Blocked
Verify the seller is real at onboarding, then prevent re-joins with duplicate detection and optional 1:N matching across verified records.
Fast Onboarding, Risk-Based Step-Up
Keep sign-ups smooth with passive liveness, then step up to active + 3D checks only when actions become high risk, without letting spoofing through.
Protected Trades, Clean Step-Ups
Add strong presence checks before high-risk trades and sensitive account changes to reduce fraud and disputes caused by spoofed face verification.
Account Recovery, Real Presence
Stop takeover attempts during resets, device changes, and high-risk logins by proving the user is live and physically present (not a deepfake or replay) with iBeta L1/L2 liveness + 3D depth.
Protected Cashouts, Real Players
Stop cashout fraud and account takeovers by verifying live presence at payout moments, built to catch replay tricks and AI faces.
Safer Withdrawals, Fewer Deepfakes
Block deepfakes, screen/video replays, and injected streams before withdrawals, address changes, and 2FA resets, so the person approving the action is actually there.
Stop Account Renting, Safer Payout Changes
Prevent identity recycling and account sharing by re-checking live presence during onboarding and payout-destination updates.
Trusted Sellers, Repeat Fraud Blocked
Verify the seller is real at onboarding, then prevent re-joins with duplicate detection and optional 1:N matching across verified records.
Fast Onboarding, Risk-Based Step-Up
Keep sign-ups smooth with passive liveness, then step up to active + 3D checks only when actions become high risk, without letting spoofing through.
Protected Trades, Clean Step-Ups
Add strong presence checks before high-risk trades and sensitive account changes to reduce fraud and disputes caused by spoofed face verification.
Account Recovery, Real Presence
Stop takeover attempts during resets, device changes, and high-risk logins by proving the user is live and physically present (not a deepfake or replay) with iBeta L1/L2 liveness + 3D depth.
Protected Cashouts, Real Players
Detect AI-generated identities at onboarding and block repeat abuse using cross-session intelligence.
Safer Withdrawals, Fewer Deepfakes
Block deepfakes, screen/video replays, and injected streams before withdrawals, address changes, and 2FA resets, so the person approving the action is actually there.
Stop Account Renting, Safer Payout Changes
Prevent identity recycling and account sharing by re-checking live presence during onboarding and payout-destination updates.
Trusted Sellers, Repeat Fraud Blocked
Verify the seller is real at onboarding, then prevent re-joins with duplicate detection and optional 1:N matching across verified records.
Fast Onboarding, Risk-Based Step-Up
Keep sign-ups smooth with passive liveness, then step up to active + 3D checks only when actions become high risk, without letting spoofing through.
Protected Trades, Clean Step-Ups
Add strong presence checks before high-risk trades and sensitive account changes to reduce fraud and disputes caused by spoofed face verification.
Account Recovery, Real Presence
Stop takeover attempts during resets, device changes, and high-risk logins by proving the user is live and physically present (not a deepfake or replay) with iBeta L1/L2 liveness + 3D depth.
Protected Cashouts, Real Players
Detect AI-generated identities at onboarding and block repeat abuse using cross-session intelligence.
Safer Withdrawals, Fewer Deepfakes
Block deepfakes, screen/video replays, and injected streams before withdrawals, address changes, and 2FA resets, so the person approving the action is actually there.
Stop Account Renting, Safer Payout Changes
Prevent identity recycling and account sharing by re-checking live presence during onboarding and payout-destination updates.
Everything you need to know in one place
Frequently Asked Questions
Can face verification only be used during onboarding with an ID?
No. Face verification can be used wherever fraud risks appear, including login challenges, account recovery, withdrawals, payouts, and password resets. It can also match a user’s face with an ID photo when identity verification is required.
How does face verification work
Face verification compares a user’s live selfie with a stored image, such as an ID photo, to confirm they are the same person. Advanced systems also use liveness detection to ensure the user is physically present and not using a spoofed image or video.
Can Shufti face verification work in high-risk regions or with diverse demographics?
Yes, Shufti uses AI models trained on diverse global datasets, enabling accurate verification across different ethnicities, age groups, and geographies, including high-risk regions with elevated fraud attempts.
How do you stop screen replays and printed photos?
With 3D depth/shape checks plus liveness signals that flag flat media and replay patterns.
Can someone feed a fake face video directly into the flow?
Shufti detects digital injection attempts designed to bypass the camera with a synthetic stream.
How do you stop the same person creating multiple accounts?
With duplicate account detection and optional 1:N face matching against previously verified users.
Do users get SDKs or APIs for easy integration?
Yes, Shufti provides both SDKs and APIs, allowing seamless integration into web and mobile applications with flexible customization options.
How does Shufti face verification handle low-quality images?
It uses AI-based image enhancement, quality checks, and adaptive algorithms to process low-resolution or poorly lit images while maintaining verification accuracy.
What is the accuracy percentage of Shufti face verification software?
Shufti’s face verification software offers up to 98.72% accuracy, depending on image quality and verification conditions. It combines facial matching, liveness detection, and fraud checks to ensure reliable identity verification.
Can Shufti Face Verification be used for remote onboarding?
Yes, it is designed for remote onboarding, enabling users to verify their identity securely in real time without physical presence.
Can Shufti Face Verification handle high verification volumes?
Yes, it is built on scalable infrastructure that supports high volumes of verifications with fast processing times and consistent performance.
Ready to Stop Deepfakes at the Door?
Deploy iBeta Level 1 & 2 certified face liveness with 3D depth analysis to verify real users, and block spoofing, replays, and injected streams in real time.
Designed for Identity, Fraud & Compliance at Scale
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