Analyze if an image contains a deepfake face
Identify real or fake faces in images
Turn selfies into face insights
Gaze detection using Moondream
Swap faces in images or videos
Identify faces in photos and label them
Upload an image to segment the face
Identify emotions from a face photo
Distinguish between cat and dog faces
Identify and track faces in a live video stream
Face Recognition
Verify student ID by comparing face images
Mark faces in images and videos to show key landmarks
Deepfake Detection is a technology designed to identify and analyze whether an image contains a deepfake face. Deepfakes are synthetic media where a person's face or actions are replaced with another's using artificial intelligence. This tool leverages advanced AI algorithms to detect such manipulations, ensuring authenticity in digital content.
• High accuracy in detecting deepfake faces in images
• Advanced AI algorithms for precise analysis
• Support for multiple image formats
• Real-time scanning for quick results
• User-friendly interface for seamless interaction
• Cross-platform compatibility
What is the primary purpose of Deepfake Detection?
The primary purpose is to identify and expose manipulated images where a person's face has been artificially replaced or altered using deep learning techniques.
How accurate is Deepfake Detection?
The accuracy depends on the algorithms used, but advanced models can detect deepfakes with high precision, often exceeding 90% accuracy in controlled environments.
Can Deepfake Detection be used on videos?
Currently, this tool specializes in analyzing still images, but some advanced systems may support video analysis for detecting deepfakes in motion.