



OmniHuman v1.5 is an advanced multimodal AI model designed to transform a single human image and an audio input into highly realistic video footage.
OmniHuman v1.5 is an advanced AI model designed to transform static human portraits and audio tracks into hyper-realistic talking videos. By combining multimodal deep learning in vision, speech, and motion synthesis, it delivers lifelike facial expressions, natural lip synchronization, and emotion-aware gestures that match the input voice with remarkable precision.
vs Synthesia: OmniHuman produces more realistic facial expressions and emotional alignment with audio, while Synthesia focuses on faster video generation with simpler lip-sync. OmniHuman supports a broader range of emotions and subtle movements, making it better for high-fidelity avatar interactions.
vs Hour One: OmniHuman excels at fine-grained emotional and facial synchronization, while Hour One prioritizes rapid avatar creation for business use cases. OmniHuman produces more natural transitions and supports richer audio diversity across languages.
vs DeepBrain AI: DeepBrain AI specializes in news-anchor style video synthesis with limited emotional range. OmniHuman surpasses it by enabling dynamic emotional expressions and interactive avatar movements synchronized tightly with diverse audio content.