Deepfake detection, facial recognition infrastructure, identity protection, and developer API for security teams and builders.
Real-time analysis of facial media to identify synthetic manipulation, face swaps, and AI-generated content.
High-accuracy face embedding, matching, and verification infrastructure for identity and access control systems.
Endpoints for liveness detection, face matching, and anti-spoofing to protect digital identity workflows.
RESTful API with SDKs for Python, Node.js, and Go. Build facial AI into any application in minutes.
Advanced algorithms analyze facial features in real time, providing instant results and reducing the risk of errors or confusion.
Leverage facial recognition technology to automate content management processes, reducing the time and effort required to organize and manage images.
A modular platform designed for enterprise security teams and developers building facial AI products.
Multi-model ensemble for deepfake detection. Analyzes temporal inconsistencies, compression artifacts, and generative signatures across video and image.
High-accuracy face embedding and matching infrastructure. 1:1 verification and 1:N search across millions of embeddings with sub-100ms latency.
Liveness detection, anti-spoofing, and identity shielding. Prevent presentation attacks and protect user identity across authentication flows.
A single endpoint to analyze any face. Detect deepfakes, verify identity, assess liveness, and extract facial attributes — all from one API call.
// Analyze a face const response = await fetch('https://api.facial.ai/v1/analyze', { method: 'POST', headers: { 'Authorization': 'Bearer sk_...', 'Content-Type': 'application/json' }, body: JSON.stringify({ image_url: 'https://...', analyses: ['deepfake', 'liveness', 'identity'] }) }) // Response { "deepfake": { "score": 0.03, "authentic": true }, "liveness": { "score": 0.98, "live": true }, "identity": { "match": 0.97, "verified": true } }
Early access for developers and security teams. Be the first to integrate.