Mocai vs Open Mocap

Mocai reconstructs a subject’s body, mesh, and motion from one video as markerless motion capture. The maker says footage from any single camera, including a phone, works without markers, suits, or calibration. Each performer has 70 tracked keypoints, and skeleton exports use a 127-joint rig. Capture options include finger articulation, multiple performers, root motion, floor grounding, occlusion repair, adjustable smoothing, and synchronized footage review. Exports include FBX, GLB, BVH, USD, and raw keypoints, with optional retargeting to Mixamo, UE5 Manny, and MetaHuman rigs. Plugins for Blender, Unity, Maya, and Unreal Engine support clip uploads and take imports. A public API supports uploads and webhooks; an MCP server can manage takes and exports. The free plan includes one minute of footage per month, clips up to 15 seconds, and single-person capture. Basic costs $10 a month for 10 minutes monthly and clips up to 30 seconds. The monthly footage allowance is shared between portal and API use, and uploads pause when it is reached.

Open Mocap is a free, open-source Blender add-on for AI-powered motion capture. It captures full-body movement offline from video and tracks hands both offline and in real time. Captured motion can be retargeted to a 3D character rig, with the workflow staying inside Blender and requiring no external software. The maker describes it for artists, animators, and researchers seeking motion capture in Blender. The add-on runs on Linux, macOS, and Windows, but compatibility is limited to Blender 4.0.0 and earlier. Recommended compatible components include Blender’s bundled Python 3.10, MediaPipe 0.10.14, OpenCV-Python 4.11.0.86, and CVZone 1.6.1; newer versions may cause runtime errors. The project uses the MIT License and welcomes bug reports, performance improvements, feature work, documentation contributions, and pull requests. Help is available by emailing [email protected] or opening a GitHub issue. There is no facial tracking or API access.