AI Face Emotion Detector

Decode human feelings instantly. Analyze facial landmarks and identify emotional states—privately and for free.

Upload Portrait for Emotion Sync

AI will detect mood, sentiment, and micro-expressions. 100% Private.

Affect-ML v2.4Micro-Expression-Sync
Private Emotion Analysis

About Facial Analysis AI

Understanding human emotions is no longer limited to human intuition. Our Facial Recognition AI uses advanced neural networks to map the subtle micro-expressions on the human face. By identifying key landmarks—such as the curve of the mouth, the arch of the eyebrows, and the squint of the eyes—the tool can statistically categorize the primary emotion being displayed.

This tool is built using face-api.js, which implements high-performance models based on the Multi-task Cascaded Convolutional Networks (MTCNN) architecture. Unlike cloud-based face APIs, we prioritize your biometric privacy by running the entire model inside your browser on your own hardware.

Key Features

  • 7 Core Emotions: Detect Neutral, Happy, Sad, Angry, Surprised, Fearful, and Disgusted states.
  • Multi-Face Detection: Automatically identifies every face in the image and analyzes them individually.
  • Local Biometrics: No facial landmarks or images are uploaded; everything stays in your RAM.
  • Real-time Speed: Optimized for instant feedback without waiting for server responses.

Guidelines

  1. Click "Upload Photo" to select a portrait or group photo.
  2. Ensure faces are clearly visible and well-lit.
  3. Click "Check Expressions" to process.
  4. Review the emotion breakdown and confidence scores below.

Frequently Asked Questions

It uses a deep neural network (specifically Tiny Yolo v2 for detection and a CNN for classification) to detect faces and map their expressions to emotional states like happy, sad, angry, surprised, fearful, disgusted, and neutral.

No. Our tool processes all facial data entirely within your browser using face-api.js and TensorFlow.js. We never upload your images or face coordinates to any server, keeping your biometrics 100% private.

Yes! The tool is capable of identifying and analyzing multiple faces in a single photo, providing individual emotion scores for each person found.

Yes. For the best accuracy, we recommend using clear, well-lit photos where the face is directly facing the camera and not obstructed by hair or large accessories.

The confidence score (percentage) represents how certain the AI model is about its classification. A higher score means the expression strongly matches the patterns for that specific emotion in our training data.