Face Detector API analyzes images to detect human faces and returns bounding box coordinates for each detected face.

The Face Detector API provides a simple, reliable way to integrate face detector functionality into your applications. Built for developers who need production-ready face detector capabilities without the complexity of building from scratch.

View API Details →

Available on:

async function callFaceDetectorAPI() {
    try {
        const requestBody = {
    "url": "https://example.com/group-photo.jpg",
    "confidence": 0.5
};

        const response = await fetch('https://api.apiverve.com/v1/facedetect', {
            method: 'POST',
            headers: {
                'x-api-key': 'YOUR_API_KEY_HERE',
                'Content-Type': 'application/json'
            },
            body: JSON.stringify(requestBody)
        });

        const data = await response.json();
        console.log(data);
    } catch (error) {
        console.error('Error:', error);
    }
}

callFaceDetectorAPI();

curl -X POST "https://api.apiverve.com/v1/facedetect" \
  -H "x-api-key: YOUR_API_KEY_HERE" \
  -F "image=@/path/to/your-file"
# Accepted formats: .jpg, .jpeg, .png, .gif, .webp (max 10MB)

Get your API key: https://apiverve.com

📁 For more examples, see the examples folder

Choose your preferred programming language:

npm install @apiverve/facedetect

View NPM Package → | Package Code →

dotnet add package APIVerve.API.FaceDetector

View NuGet Package → | Package Code →

pip install apiverve-facedetect

View PyPI Package → | Package Code →

gem install apiverve_facedetect

View RubyGems Package → | Package Code →

composer require apiverve/facedetect

View Packagist Package → | Package Code →

dart pub add apiverve_facedetect

View pub.dev Package → | Package Code →

implementation 'com.github.apiverve:facedetect-api:1.0.0'

Package Code →

go get github.com/apiverve/facedetect-api/go

Package Code →

• 🏠 API Home: Face Detector API
• 📚 API Reference: docs.apiverve.com/ref/facedetect
• 📖 OpenAPI Spec: openapi.yaml
• 💡 Examples: examples/

The Face Detector API is commonly used for:

• Web Applications - Add face detector features to your frontend or backend
• Mobile Apps - Native SDKs for Android development
• Automation - Integrate with n8n, Zapier, or custom workflows
• SaaS Products - Enhance your product with face detector capabilities
• Data Pipelines - Process and analyze data at scale

All requests require an API key in the header:

x-api-key: YOUR_API_KEY_HERE

Get your API key: https://apiverve.com

Every APIVerve endpoint returns the same envelope — check status, then read data:

{
  "status": "ok",
  "error": null,
  "data": { ... }
}

A real response from the Face Detector API:

{
  "status": "ok",
  "error": null,
  "data": {
    "faces": [
      {
        "x": 142,
        "y": 85,
        "width": 98,
        "height": 112,
        "confidence": 0.9847
      },
      {
        "x": 312,
        "y": 92,
        "width": 87,
        "height": 103,
        "confidence": 0.9623
      },
      {
        "x": 478,
        "y": 78,
        "width": 95,
        "height": 118,
        "confidence": 0.9412
      }
    ],
    "faceCount": 3,
    "hasFaces": true,
    "imageWidth": 640,
    "imageHeight": 480,
    "averageConfidence": 0.9627,
    "imageCoverage": 10.23
  },
  "code": 200
}

• 🏠 API Home: Face Detector API
• 💬 Support: https://apiverve.com/contact
• 🐛 Issues: GitHub Issues
• 📖 Documentation: https://docs.apiverve.com
• 🌐 Website: https://apiverve.com

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

For security concerns, please review our Security Policy.

This project is licensed under the MIT License - see the LICENSE file for details.

Built with ❤️ by APIVerve

Copyright © 2026 APIVerve. All rights reserved.