Enterprise Face AI Services & Licensing
Build with InsightFace: face recognition and optional RGB liveness, a self-hosted server, video face privacy with PrivateFrame, face swapping, deepfake detection, and commercial model licensing.
import insightface
import cv2
# Face Recognition
app = insightface.app.FaceAnalysis('buffalo_l')
app.prepare(ctx_id=0)
img = cv2.imread('photo.jpg')
faces = app.get(img)
print(faces[0].embedding.shape)
Trusted by teams building the next generation of face AI
Solutions
Face recognition, optional RGB liveness, video face privacy, and creative tools for your product. Explore self-hosted services, SDKs, and commercial model licensing.
Commercial licensing for InsightFace open-source model packages (buffalo_l, antelopev2, buffalo_s, buffalo_m, etc.) and proprietary high-accuracy models. From research to production deployment with full legal compliance.
Optionally enable RGB liveness checks before face recognition through the Python package or InsightFace Server.
Keep video face redaction on your own device. Track faces, choose who stays visible, and export blur or mosaic with the desktop app, CLI, or Python.
Commercial model license required
A self-hosted recognition service with optional RGB liveness, Web UI, REST API, Python SDK, CPU or CUDA inference, exact 1:N search, and persistent RTSP monitoring.
Case Studies
From identity verification and access control to creative AI and edge deployment, InsightFace helps teams evaluate, license, and deploy face AI models responsibly.
A fintech team evaluating face recognition models for identity verification, threshold tuning, and production deployment.
An access control provider exploring lightweight face analysis SDK deployment across embedded and edge devices.
A consumer application team reviewing face swap API access, licensing requirements, and responsible use controls.
Anonymized scenarios derived from typical enterprise engagements. Specific customer names are not disclosed for confidentiality reasons.
Licensing & Pricing
From open-source research to model licenses, local live identity deployment, production APIs, and SDK access — choose the licensing option that fits your business needs.
Custom
Commercial licensing for face recognition and face swapping models
Integration
Whether you prefer Python, C++, or REST — InsightFace integrates into your stack with minimal friction.
Face analysis in Python, with optional RGB liveness before recognition and per-face results.
Explore RGB livenesspip install insightface onnxruntime-gpu
# That's it. You're ready.
from insightface.app import FaceAnalysis
app = FaceAnalysis('buffalo_l')
app.prepare(ctx_id=0)Native SDK for mobile and embedded devices. One API across all platforms.
// Initialize the SDK
HResult ret = HFLaunchInspireFace(path);
// Create a session
HFSession session;
HFCreateInspireFaceSession(&session, mode);
// Detect and recognize
HFDetectFaces(session, image, &faces);
HFExtractFeature(session, image, face, &feature);Self-host detection, optional RGB liveness, comparison, enrollment, and exact person search on CPU or NVIDIA GPU.
Explore RGB liveness# Authenticated deployment; omit -H when auth is disabled.
curl -sS http://localhost:18097/v1/detect \
-H "Authorization: Bearer ${INSIGHTFACE_API_KEY}" \
-F "image=@photo.jpg"Research & Publications
Published at top-tier academic venues. Every algorithm in InsightFace is peer-reviewed and reproducible.
CVPR 2019
The foundational loss function for face recognition, setting new benchmarks on all major datasets.
CVPR 2020
Practical single-stage face detector with joint face detection and landmark localization.
ICLR 2022
Efficient high-accuracy face detection with NAS-based architecture search.
CVPR 2022
Scalable training strategy enabling face recognition with massive identity pools.
ECCV 2020
Handling noisy training data by learning multiple sub-centers per class.
Blog
Stay up to date with the latest developments in face AI technology, research, and applications.
A practical August 2026 roundup of one-shot portrait animation at 32 FPS, minute-level joint audio-video avatar streaming, and geometry-guided emotional talking faces with continuous intensity control.
Read moreA detailed August 2026 arXiv briefing on the synthetic-to-real gap in low-resolution recognition, identity-preserving face compression below one kilobyte, and a Brazilian fairness benchmark grounded in self-declared race/color records.
Read moreAugust's face detection and capture-security briefing covers runtime-configurable facial landmarks, presentation-attack training without human faces, and a systematic comparison of foundation models for presentation and morph attacks.
Read moreWhether you need face recognition model licensing, face swapping commercial rights, a live streaming identity deployment, a local real-time identity workflow, InspireFace SDK, or custom AI cooperation — contact us to start the conversation.
We review commercial, enterprise, and research cooperation requests. Please use a company email address when possible.