Best Facial Recognition Software for Python

FacePlugin is the leading provider of On-Premises Identity Validation Solutions. Our robust suite of products includes state-of the-art technologies, such as Face Recognition and Face Liveness Detection. We also offer ID Document Recognition, Palm Print Recognition, and Palm Print Recognition. Our face recognition algorithm is fast and unbiased. Our liveness detection model is able to detect spoofing, including 3D masks, printed photos, video replays, and deepfake. Our ID document recognition software can recognize ID documents from over 180 countries, including ID cards, passports and driver licenses. We offer SDKs - Face recognition SDK (Android, iOS, Server) - Liveness detection SDK (Android, iOS, Server) - ID document recognition SDK (Android, iOS, Server) - Palmprint Recognition SDK (Server). Programming languages Flutter, Swift, Java, Object C and Python We offer free integration support.

Transform good people into good customers faster and increase trust. It's easy to verify your identity. Supported in more than 200+ countries and territories, 13,000+ ID documents. Each ID Document can be subject to up to 50 AI-based security checks in just seconds. Bank-Grade Certified Biometrics Checks Unparalleled expertise in emerging markets. IDWise's AI-driven, fully automated, user-friendly identity verification solution will dramatically increase customer conversion rates and decrease abandonment rates. IDWise loves simplicity. Our seamless integration and simple pricing plans are designed to help you serve customers quickly and reliably while allowing you to focus your resources on what you do best, running your business. We take pride in our long-term partnership approach. We recognize that no two businesses are alike when it comes to finding the right balance between speed, user experience and compliance.

Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.