The Face Embedding API allows developers to extract high-dimensional vector representations (embeddings) of human faces from images. These embeddings can be used for various facial recognition tasks, including face matching, clustering, and verification. The API processes input images and returns a numerical vector that uniquely represents the facial features, enabling efficient comparison between different faces.

Current Max Capacity : 40 Request Per Second