Uthana

Uthana is a generative video tool that turns video, text and controls into rigged 3D human motion. Uthana generates editable 3D human motion from video, text prompts or real-time controls, then retargets it across characters and robots.

Uthana is a motion platform for teams that need structured 3D human movement rather than finished video. The core idea is that a body moving through space can be captured, described or driven, then converted into animation-ready data. Two model families lead the product: video-to-motion, which lifts 2D footage into editable 3D movement, and Text-to-Motion 3.0, where a written prompt specifies action, sequence, pacing, posture and style. A third locomotion mode generates responsive movement from direction, speed and trajectory. The audience is not the casual animator. Uthana markets itself to embodied AI researchers, robotics teams, simulation builders, world model developers and game studios. The same motion can be retargeted across arbitrary character skeletons, turned into robot-specific joint representations, or used to auto-rig an unrigged mesh. Data is the other half of the offer: a studio motion dataset captured with a 120-camera system, video-derived pose data, and labeling layers that add action tags, temporal segments, joint trajectories and contact states. Delivery covers FBX, GLB, BVH and CSV, with skeleton conventions documented per dataset. In practice a studio would start on the signup page, pull motion from a reference clip or a prompt, then retarget it onto its own characters through the GraphQL API or public plugins. Motion generation is reported at under 50ms to first token, and the site cites 45,000+ characters animated and 1.7M+ seconds of motion generated. Alternatives fall into two camps. Conventional motion capture and hand keyframing favor fidelity and control but cost more per clip. Text-to-video tools produce pixels, not editable skeletons. Uthana sits between them, aimed at pipelines that need bones, joints and labels. Pricing is not published, so buyers should expect a sales conversation before committing.