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Face Extraction

Introducing Face Extraction API The Face Extraction API helps vectorize facial information.

Key Features

  1. Facial Embedding Extraction: Our API employs state-of-the-art deep learning models to extract high-dimensional facial embeddings that capture intricate facial details.
  2. Compact and Efficient: The facial embeddings are compact vectors, making them storage-friendly and computationally efficient, ideal for real-time applications.
  3. Robust to Variations: Our facial embeddings are designed to be robust to variations in lighting conditions, poses, facial expressions, and age, ensuring reliable performance across diverse scenarios.
  4. Real-Time Processing: Experience fast and efficient feature extraction, enabling real-time facial analysis and response in time-sensitive applications.
  5. Scalable and High-Throughput: Our API can handle a high volume of facial images concurrently, making it suitable for large-scale facial analysis tasks.
  6. User-Friendly Integration: Easily integrate our API into your existing applications or workflows with our well-documented API endpoints and developer-friendly resources.
  7. Data Security and Privacy: We take data security seriously. Your inputs are processed securely, and we do not retain any sensitive information beyond the scope of the API request.

Use Cases

  • Facial Recognition and Verification: Utilize facial embeddings to perform accurate and reliable facial recognition and verification tasks, enabling secure access control and user authentication.
  • Facial Similarity Analysis: Compare facial embeddings to measure similarity and identify potential matches, assisting in face grouping and similarity-based searches.
  • Emotion Analysis: Extract facial features to analyze emotional expressions, enabling emotion-aware applications, sentiment analysis, and customer feedback assessment.
  • Personalized User Experience: Leverage facial embeddings to create personalized user experiences, tailoring content and services based on individual preferences.
  • Identity Verification: Integrate facial embeddings into identity verification processes, enhancing identity verification accuracy for various applications.
  • Non-Persistence of Request Data: We do not store any of the text sent in the request on our servers. Once the API processes the request and returns the response, the text data is immediately discarded. This ensures that your Japanese text data remains confidential and is not retained after processing.

Form Data

FieldData TypeDescription
filebyteFace image which used for embedding


FieldData TypeDescription
status_codeintHTTP response code
resultobjectFace Embedding result
message_errorstringMessage error (if exists)