--- url: https://deepvue.ai/liveness-detection-api/ title: "Face Liveness Detection API | Anti-Spoof KYC | Deepvue" description: "Detect spoofs, deepfakes, masks & replay attacks with passive & active liveness built in-house. Block fraud in global KYC in milliseconds. Start free." last_modified: 2026-06-02T21:30:00.465Z --- 1. [API Infrastructure](/#platform) 2. Face Forensics 3. Face Liveness Liveness Detection API · AI-Powered Anti-Spoof # Face Liveness Detection API for *Fraud Prevention* & Identity Verification Analyze facial inputs to identify liveness signals and support fraud prevention and identity verification workflows using Deepvue’s passive face liveness detection API. Built with AI-powered liveness detection infrastructure designed for real-time onboarding and authentication systems [Start for Free](https://dashboard.deepvue.ai/sign-up) [Book a Demo](/demo/) ## Trusted by Platforms Building Secure *Identity* & Fraud Prevention Systems Organizations across industries use Deepvue APIs to strengthen identity verification and fraud prevention workflows. ![DollarPe](/logos/kyc/dollarpe.png) ![iMocha](/logos/kyc/imocha.png) ![Lark Finserv](/logos/kyc/lark-finserv.png) ![NAMCO Bank](/logos/kyc/namco-bank.png) ![Nest](/logos/kyc/nest.png) ![SafeTree](/logos/kyc/safetree.png) ![SwitchMyLoan](/logos/kyc/switchmyloan.png) ![Times Internet](/logos/kyc/timesinternet.png) ![Yenmo](/logos/kyc/yenmo.png) ![DollarPe](/logos/kyc/dollarpe.png) ![iMocha](/logos/kyc/imocha.png) ![Lark Finserv](/logos/kyc/lark-finserv.png) ![NAMCO Bank](/logos/kyc/namco-bank.png) ![Nest](/logos/kyc/nest.png) ![SafeTree](/logos/kyc/safetree.png) ![SwitchMyLoan](/logos/kyc/switchmyloan.png) ![Times Internet](/logos/kyc/timesinternet.png) ![Yenmo](/logos/kyc/yenmo.png) ![DollarPe](/logos/kyc/dollarpe.png) ![iMocha](/logos/kyc/imocha.png) ![Lark Finserv](/logos/kyc/lark-finserv.png) ![NAMCO Bank](/logos/kyc/namco-bank.png) ![Nest](/logos/kyc/nest.png) ![SafeTree](/logos/kyc/safetree.png) ![SwitchMyLoan](/logos/kyc/switchmyloan.png) ![Times Internet](/logos/kyc/timesinternet.png) ![Yenmo](/logos/kyc/yenmo.png) digital onboarding and KYC workflows fraud risk screening and anti-spoof checks account authentication processes identity verification systems platforms securing high-risk transactions digital onboarding and KYC workflows fraud risk screening and anti-spoof checks account authentication processes identity verification systems platforms securing high-risk transactions digital onboarding and KYC workflows fraud risk screening and anti-spoof checks account authentication processes identity verification systems platforms securing high-risk transactions ## What is a Face Liveness Detection API? A Face Liveness Detection API analyzes facial inputs to determine whether they exhibit characteristics consistent with a live user interaction. [Explore API Documentation](https://docs.deepvue.ai/reference/forensics/face/face-liveness-check) This API is commonly referred to as Face Liveness Detection APILiveness Detection APIPassive Liveness APIFace Anti-Spoof API Organizations use this API for support fraud prevention workflows identify potential spoofing attempts strengthen onboarding verification processes enhance authentication systems The **Deepvue Liveness Detection API** helps strengthen fraud prevention and reduce reliance on manual verification. ## Why Liveness Detection Matters Digital systems are increasingly exposed to risks such as photo-based spoofing, video replay attempts, and synthetic or manipulated inputs. Face comparison alone may not detect these scenarios. Systems without liveness detection are vulnerable to photo-based spoofing video replay attempts synthetic or manipulated inputs Liveness detection provides an additional layer by analyzing real-time interaction patterns image characteristics input consistency One selfie. Liveness confirmed. Passive anti-spoof detection — no blinking, no head turns, no friction. [Start for Free](https://dashboard.deepvue.ai/sign-up) [Talk to a Specialist](/demo/) ## What This API Enables The Deepvue Liveness Detection API enables organizations to: Analyze Liveness Signals analyze liveness-related signals from facial inputs Identify Spoofing Indicators identify potential spoofing indicators Support Fraud Risk Assessment support fraud risk assessment workflows Strengthen Onboarding strengthen onboarding and authentication systems Real-Time Liveness Checks integrate real-time liveness checks into applications ## How the API Works A four-step workflow from selfie capture to liveness result. 01 Capture Selfie Capture a selfie image as part of a user-consented onboarding or authentication workflow. 02 Analyze Input The API analyzes facial input characteristics and patterns. 03 Evaluate Signals Models evaluate signals associated with liveness and potential spoofing. 04 Liveness Result A liveness result and confidence score are returned. Detect spoofs before they reach your system. Passive liveness detection — one selfie, instant fraud signal analysis. [Start for Free](https://dashboard.deepvue.ai/sign-up) [View Documentation](https://docs.deepvue.ai/reference/) ## Consent & Data Handling Liveness detection workflows are designed for user-consented and lawful verification processes. Liveness detection workflows are intended to be used within **user-consented and lawful verification processes**, such as onboarding and authentication. Selfie images submitted to the API are expected to be: user-provided inputs part of consented workflows Deepvue provides processing infrastructure for analyzing inputs and **does not independently initiate or control capture** of biometric data. ## Developer Preview See how a single API call analyzes a selfie for liveness signals. API Request POST /v1/kyc/face-liveness { "selfie": "" } Input Parameters selfie image — user-provided image (jpeg/png) API Response (Simplified) { "data": { "is\_live": true, "score": 95 } } ## Passive Liveness, Fraud Signals & Integration Quality Passive detection capabilities, anti-spoof signal coverage, and integration considerations. Passive Liveness Detection Passive Deepvue provides passive facial liveness detection — no user interaction required: works without requiring user interaction operates on single-image inputs reduces friction in onboarding supports seamless user experiences Designed for low-friction selfie-based verification. Fraud Risk Signals & Anti-Spoof Anti-Spoof Common attack surfaces analyzed by the API: photo-based spoof attempts screen replay scenarios printed image inputs basic manipulated or synthetic inputs Use alongside broader verification workflows for defense in depth. Integration Quality Integration Performance and quality considerations for selfie inputs: image clarity and lighting camera quality and resolution upload format (jpeg/png) network latency consent and capture flow design Can be combined with downstream face match or document verification. Passive. Real-time. Zero friction. Liveness detection that works with a single selfie — no SDK required. [Start for Free](https://dashboard.deepvue.ai/sign-up) [Talk to a Specialist](/demo/) ## Real-Time Liveness Analysis The API is designed for real-time workflows. Organizations can: low-latency processing fast response times seamless integration into onboarding systems Real-time verification enables **faster decisions** and better user experience. ## Seamless API Integration Deepvue APIs are designed to integrate easily into existing workflows. Typical integrations 1 Generate API credentials 2 Capture and send selfie images 3 Receive structured responses instantly 4 Integrate into onboarding or authentication systems Detect fraud before it reaches your users. Passive liveness. Real-time results. No SDK required. Go live in minutes. [Start for Free](https://dashboard.deepvue.ai/sign-up) [Talk to a Specialist](/demo/) ## Integration Features & Key Capabilities Everything you need to integrate, test, and scale liveness detection. Integration Features REST API Architecture Standard REST endpoints. JSON Responses Structured liveness outputs. No SDK Required Direct API integration. Audit Logs Scalable infrastructure with audit trail. Key Features Passive Liveness Detection Analyze facial inputs without user interaction. Anti-Spoof Signal Detection Identify indicators associated with spoofing. Real-Time Processing Enable instant liveness assessment workflows. ## Who Uses This API From onboarding to fraud prevention — liveness detection for every identity workflow. KYC & Onboarding Platforms Strengthen identity verification workflows. Fintech & Financial Services Support fraud risk assessment. Marketplaces Reduce fake or duplicate registrations. Enterprises Enhance authentication processes. Fraud & Risk Systems Incorporate liveness signals into decision workflows. ## Compliance & Data Governance Deepvue provides infrastructure to enable liveness detection and identity verification workflows. Verification outputs are generated via user-provided inputs processing systems designed to analyze facial characteristics compliant system architectures These APIs are intended for use in onboarding workflows authentication processes fraud risk assessment Deepvue does not act as a data fiduciary for independent biometric profiling and does not claim ownership of underlying biometric data. Applicable regulations Digital Personal Data Protection Act (DPDP), 2023 Data protection & privacy Information Technology Act, 2000 Electronic governance & cybersecurity All API interactions are protected using encryption, access controls, and audit logging. Customers are responsible for ensuring lawful usage and compliance with applicable regulations. ## Flexible API Pricing Deepvue APIs are designed to scale with verification requirements. Pricing typically depends on verification volumeAPI usage tiersintegration requirements For organizations evaluating liveness detection API pricing, face anti-spoof API cost, or passive liveness for KYC workflows, our team provides customized pricing. [Start for Free](https://dashboard.deepvue.ai/sign-up) [Request Pricing](/demo/) ## Frequently Asked Questions Common questions about liveness detection API integration, capabilities, and pricing. What is a Face Liveness Detection API? It is an API that analyzes facial inputs to assess whether they exhibit characteristics consistent with a live interaction. What is passive liveness detection? Passive liveness analyzes facial inputs without requiring user interaction. Can this API detect deepfake attacks? The API can identify signals associated with common spoofing and manipulated inputs and should be used as part of a broader verification workflow. Do I need an SDK? No. Deepvue APIs can be integrated directly. What is liveness detection API pricing? Pricing depends on usage volume, integration requirements, and deployment scale. ## Is Deepvue a Liveness Detection API provider? Deepvue provides APIs that enable organizations to analyze liveness signals and support fraud prevention and identity verification workflows. ## Start strengthening fraud prevention with liveness detection workflows. Passive liveness. Anti-spoof signals. Production-ready API. [Start for Free](https://dashboard.deepvue.ai/sign-up) [Talk to a Specialist](/demo/)