# AI Face Detection

Detect faces in an image and return bounding box coordinates

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

- **Category:** AI Tools

- **Keywords:** face, detection, vision, bounding box

## Overview

AI Face Detection is an intelligent tool that uses advanced algorithms to identify human faces in images. It returns precise bounding box coordinates for each detected face, enabling automated analysis and integration into various applications.

## 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 you need to automatically detect and locate faces in photos for tagging, organization, or editing.
- In security or surveillance systems to monitor and identify individuals in images or video frames.
- For content moderation or analytics to filter or analyze images based on the presence of faces.

## How it works

- Upload an image file in a supported format such as JPEG or PNG.
- Optionally adjust parameters like minimum confidence level to filter detections and maximum number of faces to detect.
- The AI processes the image and returns a JSON response containing bounding box coordinates for each detected face.

## Use cases

- Automated photo tagging in social media or digital asset management systems.
- Real-time face detection in security camera feeds for access control or monitoring.
- Analyzing customer demographics in retail by detecting faces in store camera images.

## Frequently asked questions

### What image formats are supported?

The tool supports common image formats including JPEG, PNG, and GIF, with a maximum file size of 30 MB.

### How accurate is the face detection?

Accuracy depends on image quality and settings; increasing the minimum confidence level can improve precision by filtering out low-confidence detections.

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

Yes, you can set a maximum number of faces to detect or leave it empty to identify all faces present in the image.

### What does the output look like?

The output is a JSON object that includes bounding box coordinates (e.g., x, y, width, height) for each detected face.

### Is there a limit on the number of faces detected?

You can specify a maximum of up to 100 faces per image; if not set, the tool will detect all faces it can identify.

## 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 Expressions](https://elysiatools.com/en/tools/ai-face-expressions): Classify facial expressions per face (neutral/happy/sad/angry/fearful/disgusted/surprised)
- [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
- [AI Face Align & Crop](https://elysiatools.com/en/tools/ai-face-align-crop): Detect, align, and crop faces into individual images (zip when multiple)
- [AI Image Smart Enhance](https://elysiatools.com/en/tools/ai-image-enhance): Intelligently analyze and enhance image quality using AI vision models

## 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.