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AI Face Age & Gender

Estimate age and gender for each detected face

Click to upload file or drag and drop file here

Maximum file size: 30MB Supported formats: image/*

Key Facts

Category
AI Tools
Input Types
file, number
Output Type
json
Sample Coverage
4
API Ready
Yes

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.

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.

Examples

1. Event Attendee Demographics

Marketing Analyst
Background
A company hosts a product launch event and collects photos of attendees for post-event analysis.
Problem
They need to understand the age and gender distribution to tailor future marketing strategies.
How to Use
Upload event photos, set minConfidence to 0.7 for reliable estimates, and process up to 100 faces per image.
Outcome
Receive JSON data with estimated ages and genders, enabling audience segmentation and targeted outreach.

2. Content Moderation Automation

Background
A social media platform aims to flag images that may contain underage users for compliance.
Problem
Manual review of all uploaded images is inefficient and prone to errors.
How to Use
Use the tool to automatically estimate ages in images, setting a low minConfidence of 0.3 to catch potential cases.
Outcome
Flag images with estimated ages below 18 for further review, streamlining moderation and improving safety.

Try with Samples

image, file
Hugging Face JavaScript Samples
Hugging Face JavaScript/TypeScript examples using Transformers.js for NLP, computer vision, and multimodal tasks in browser and Node.js
title token face
image
Hugging Face Deploy Samples
Hugging Face model deployment examples including Transformers, Diffusers, and Gradio applications with Docker and cloud deployment
title token face
image
Windows Image Processing - C# Samples
Comprehensive C# image processing examples for Windows platform including image manipulation, filtering, format conversion, and advanced computer vision operations
preferred input family image
image
OpenCV Computer Vision Samples
OpenCV.js examples for image processing, computer vision, and real-time video analysis in JavaScript
preferred input family image
image

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FAQ

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.

API Documentation

Request Endpoint

POST /en/api/tools/ai-face-age-gender

Request Parameters

Parameter Name Type Required Description
imageFile file (Upload required) Yes -
minConfidence number No -
maxResults number No -

File type parameters need to be uploaded first via POST /upload/ai-face-age-gender to get filePath, then pass filePath to the corresponding file field.

Response Format

{
  "key": {...},
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
JSON Data: JSON Data

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-ai-face-age-gender": {
      "name": "ai-face-age-gender",
      "description": "Estimate age and gender for each detected face",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=ai-face-age-gender",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

Supports URL file links or Base64 encoding for file parameters.

If you encounter any issues, please contact us at [email protected]