The Best Deepfake

Detection Solution 

AI face swap replaces a person’s face in a photo or video with another face using deep learning, creating the appearance that the target individual performed the actions or expressions of the source.

AI lip sync alters a person’s mouth movements in a video to match new audio, making it appear as though they spoke words they never actually said.

AI face reenactment transfers the facial expressions and movements of one person onto another in a video, making the target mimic the source in real time or post-production.

AI face morphing blends two or more faces into a single composite, gradually transforming one identity into another with seamless visual transitions.

An AI avatar is a digitally generated character—often resembling a real person—that can speak, move, and express emotions using AI-driven animation and voice synthesis.

GAN faces are AI-generated human faces created by Generative Adversarial Networks, producing photorealistic identities that do not correspond to any real person.

AI text-to-image converts written descriptions into synthetic images, generating realistic or stylized visuals entirely from text prompts.

AI text-to-video generates synthetic video clips directly from written descriptions, creating dynamic scenes, characters, and movements entirely from text input.

Synthetic voice is AI-generated speech that mimics human tone, rhythm, and emotion

AI voice cloning replicates a specific person’s voice by learning their vocal patterns, enabling the creation of highly realistic speech that sounds like the original speaker.