# AI Face Age & Gender

Estimate age and gender for each detected face

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

- **Category:** AI Tools

- **Keywords:** face, age, gender, vision

## Overview

The AI Face Age & Gender tool uses vision AI to estimate the age and gender of individuals from uploaded images. It detects faces and provides predictions with adjustable confidence levels and result limits for accurate analysis.

## 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 analyzing demographic data from photographs for market research or audience insights.
- To verify age compliance in user-generated content on digital platforms or services.
- For enhancing security or surveillance systems by estimating visitor demographics in real-time.

## How it works

- Upload an image file containing one or more faces in supported formats like JPEG or PNG.
- Optionally set the minimum confidence threshold (0.05 to 0.99) to filter detections and specify the maximum number of faces to process.
- The tool processes the image and returns a JSON response with estimated age and gender for each detected face.

## Use cases

- Demographic analysis for targeted advertising and marketing campaign optimization.
- Age verification in online platforms to comply with legal regulations and content policies.
- Crowd analysis in public events or spaces for security and event management purposes.

## Frequently asked questions

### What image formats are supported?

The tool supports common image formats such as JPEG, PNG, and GIF.

### How accurate is the age estimation?

Accuracy depends on image quality and face visibility; use higher confidence settings for more reliable results.

### Can it detect multiple faces in one image?

Yes, you can set a maximum number of faces to detect or leave it empty to process all detected faces.

### Is the uploaded image stored or shared?

No, images are processed in real-time and not stored, ensuring user privacy.

### What does the minimum confidence setting do?

It filters out face detections below the specified confidence level to reduce false positives and improve accuracy.

## Related tools

- [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 Detection](https://elysiatools.com/en/tools/ai-face-detection): Detect faces in an image and return bounding box coordinates
- [AI Face Landmarks](https://elysiatools.com/en/tools/ai-face-landmarks): Detect facial landmarks (68 points) and return coordinates for each face
- [AI Face Expressions](https://elysiatools.com/en/tools/ai-face-expressions): Classify facial expressions per face (neutral/happy/sad/angry/fearful/disgusted/surprised)
- [AI Face Descriptors](https://elysiatools.com/en/tools/ai-face-descriptors): Generate 128D face embeddings for each detected face
- [AI Face Align & Crop](https://elysiatools.com/en/tools/ai-face-align-crop): Detect, align, and crop faces into individual images (zip when multiple)
- [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 Recognition (Gallery)](https://elysiatools.com/en/tools/ai-face-recognition): Build a gallery from labeled faces and recognize faces in a target image

## Samples

- [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
- [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
- [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.