Cutting-edge AI technology for advanced facial recognition and comparison
Unlock powerful facial recognition with just a few lines of code. Deliver seamless, secure, and intelligent user experiences—faster than ever before.
Face Recognition
Face recognition with exceptional accuracy
Face & image Comparison
Delivers highly accurate face and image comparison
AI Algorithms & C++ Implementation
Fully developed in C++, leveraging machine learning and AI algorithms for face detection and comparison
Offline
Face recognition and comparison are performed entirely on your device — no internet connection required
Private & Secure
No data is transmitted or stored, all processing is done locally on your device
Built for All Platforms
Fully compatible with native Android and iOS, as well as Flutter and React Native apps
Use cases
Unlock the potential of Perch Eye SDK with proven use cases
Flexible Face-Based Registration and Authentication
Leverage high-precision facial recognition for seamless user registration and login. Define custom matching thresholds to suit your security needs and use any number or size of images for enrollment. Our SDK gives you full control over the authentication flow, ensuring both flexibility and reliability in real-world scenarios
Facial Verification as a Second Layer of Security
Easily integrate facial recognition into your two-factor authentication (2FA) process. Whether you're securing login access or locking specific features within your app, our SDK provides a lightweight and secure way to verify users. Enhance your app's security posture without compromising user experience
Advanced Image Similarity and Matching
Use the SDK to compare faces or images with exceptional accuracy, making it ideal for service apps that require similarity detection. It can be used to find duplicates, identify related content, or power visual search capabilities. Fast, scalable, and easy to integrate into existing workflows
Offline Facial Authentication for Remote Access
Authenticate and register users using facial recognition entirely offline. Perfect for apps operating in low-connectivity environments or requiring high data privacy, this solution ensures secure access without needing an internet connection. All processing happens locally on the user's device
See it in action
Kickstart your integration with our open demo projects on GitHub. Whether you're working with native or cross-platform frameworks, you'll find everything you need to get started fast
Hints from our developers
" I integrated the SDK into a taxi app to verify drivers with facial recognition before each shift. Use threshold tuning to balance speed and accuracy depending on your use case "
Roman Zahorskyi
Android Developer
" The SDK worked smoothly with FaceID fallback — we used it in a secure notes app. For best results, preprocess images to a consistent size before running comparisons. "
Alex Kuz
Android/IOS Developer
" Integration was straightforward — I had a working face login screen in under an hour. Use platform channels wisely to manage native SDK calls and keep your Dart code clean "
Mykola Kraievskyi
Kotlin Multiplatform Developer