# AI Face Descriptors

Generate 128D face embeddings for each detected face

> Canonical page: https://elysiatools.com/en/tools/ai-face-descriptors

- **Category:** AI Tools

- **Keywords:** face, descriptor, embedding, recognition

## Overview

The AI Face Descriptors tool generates 128-dimensional face embeddings for each detected face in an uploaded image. These embeddings are numerical representations of facial features, ideal for face recognition, verification, and analysis tasks.

## Inputs

- **Image File** (file): Upload an image
- **Minimum Confidence (0-1)** (number): 0.5
- **Max Faces** (number): Leave empty for all

## When to use

- When building or testing facial recognition systems for security or authentication.
- For extracting facial features from images to create databases for verification purposes.
- In research or development projects involving computer vision and face analysis.

## How it works

- Upload an image file containing one or more faces.
- Optionally adjust parameters like minimum confidence threshold and maximum number of faces to detect.
- The tool processes the image and returns a JSON response with 128D embeddings for each detected face.

## Use cases

- Integrating into security systems for facial authentication and access control.
- Organizing photo libraries by automatically identifying and grouping faces based on embeddings.
- Supporting academic research in biometrics and computer vision for face analysis.

## Frequently asked questions

### What is a face embedding?

A face embedding is a 128-dimensional vector that numerically represents facial features, used for comparison in recognition tasks.

### What image formats are supported?

The tool supports common image formats such as JPEG, PNG, and others as specified in the upload interface.

### How does the minimum confidence parameter work?

Set minConfidence between 0.05 and 0.99 to filter detections; higher values reduce false positives by requiring more certainty.

### Can it handle images with multiple faces?

Yes, it detects all faces by default, or you can set maxResults to limit the number of faces processed.

### What is the output format?

The output is a JSON array containing objects for each detected face, including the 128D embedding and detection metadata.

## Related tools

- [AI Face Age & Gender](https://elysiatools.com/en/tools/ai-face-age-gender): Estimate age and gender for each detected face
- [AI Face Compare (1:1)](https://elysiatools.com/en/tools/ai-face-compare): Compare two images, output embedding distance and match boolean by threshold, only compare the first face in each image
- [AI Face Landmarks](https://elysiatools.com/en/tools/ai-face-landmarks): Detect facial landmarks (68 points) and return coordinates for each face
- [AI Face Recognition (Gallery)](https://elysiatools.com/en/tools/ai-face-recognition): Build a gallery from labeled faces and recognize faces in a target image
- [NSFW Image Content Detector](https://elysiatools.com/en/tools/nsfw-image-detector): AI content-moderation classifier using NSFWJS to flag uploaded images as safe or potentially inappropriate. Built for moderation and compliance review of your own files — it analyzes uploads only and is not an image search or discovery tool. Supports JPEG/PNG/WEBP/GIF.
- [AI Face Detection](https://elysiatools.com/en/tools/ai-face-detection): Detect faces in an image and return bounding box coordinates
- [AI Face Expressions](https://elysiatools.com/en/tools/ai-face-expressions): Classify facial expressions per face (neutral/happy/sad/angry/fearful/disgusted/surprised)
- [Receipt & Invoice OCR Recognition](https://elysiatools.com/en/tools/ai-image-to-receipt-json): Extract key information from receipt/invoice images and convert to custom JSON format using AI vision models

## Samples

- [Hugging Face Deploy Samples](https://elysiatools.com/en/samples/huggingface-deploy): Hugging Face model deployment examples including Transformers, Diffusers, and Gradio applications with Docker and cloud deployment
- [Hugging Face JavaScript Samples](https://elysiatools.com/en/samples/huggingface-js): Hugging Face JavaScript/TypeScript examples using Transformers.js for NLP, computer vision, and multimodal tasks in browser and Node.js
- [Android Image Processing Java Samples](https://elysiatools.com/en/samples/android-image-processing-java): Android Java image processing examples including reading/saving images, scaling, and format conversion
- [Android Image Processing Kotlin Samples](https://elysiatools.com/en/samples/android-image-processing-kotlin): Android Kotlin image processing examples including reading/saving images, scaling, and format conversion

## Related content

- [AI Face Analysis: Detection, Comparison, and Recognition Workflows](https://elysiatools.com/en/hubs/ai-face-detection-recognition-workflows): Separate face detection and alignment from descriptor comparison, gallery recognition, and expression or age-gender estimation, with practical privacy and error boundaries.