Agentifact assessment — independently scored, not sponsored. Last verified Mar 6, 2026.
Move AI
Move AI is a markerless motion capture platform that converts standard multi-camera video into high-quality 3D human motion data for animation, sports analysis, and avatar rigging. It offers pay-per-use API pricing starting at $0.012/second for the s1 model and $0.024/second for the m1 model, with a $0.10 minimum per task. Subscription plans start at $50/month for individuals, with Move Pro offering custom multi-camera setups for studios. A free exploration tier is available. Developers use Move AI to build body tracking features in fitness apps, game animation pipelines, and metaverse avatar systems.
Use with care — notable gaps remain
You need to capture realistic human motion for character animation without expensive mocap suits, markers, or specialized hardware—and you want to do it in real-time or near-real-time for live productions.
High-quality full-body motion with improved foot planting, spine biomechanics, and 6-DOF shoulder tracking in Gen 2. Real-time output is usable but may need post-processing via Move Engine for production-grade results. Floor interactions and complex contact points often require manual cleanup. Latency is genuinely low (<100ms), but accuracy rivals optical systems only after secondary solve/post-processing.
You're building a fitness app, game animation pipeline, or metaverse avatar system and need to integrate body tracking without licensing expensive third-party mocap infrastructure.
Reliable motion extraction from 2D video; fast iteration compared to keyframing. Single-camera (s2-light) model works for near-real-time; multi-camera (m2) scales to 20+ performers. Expect 1–2 second processing latency for offline models. Physics-based data (joint torque, ground reaction force) enables realistic weight shifts but requires animator skill to leverage fully.
Real-time multi-performer capture is severely limited
Move Live handles 1–2 performers simultaneously in real-time. For large-scale live events (sports broadcasts, concerts with ensemble casts), you're capped at solo or duo capture. The m2-xl model addresses this for offline post-processing (20+ performers), but real-time XR/broadcast use cases with large groups require workarounds or multiple capture zones.
Floor contact and ground interaction cleanup is manual
Markerless systems struggle with foot-to-ground contact, sliding, and complex floor interactions. Move AI acknowledges this as a known pain point. Builders should budget animator time for secondary cleanup on these sequences, especially for dance, sports, or acrobatic content.
Post-processing latency vs. real-time expectations
Move Live delivers <100ms latency for real-time preview, but production-grade output requires secondary solve via Move Engine, adding processing time. If your use case promises 'instant broadcast-ready motion,' you'll disappoint. Real-time output is preview-quality; plan for post-processing in your pipeline.
Trust Breakdown
What It Actually Does
Move AI turns video from regular cameras or smartphones into precise 3D motion data without needing special suits or markers. Use it to animate characters, analyze sports, or create avatars for games and virtual production.
Move AI is a markerless motion capture platform that converts standard multi-camera video into high-quality 3D human motion data for animation, sports analysis, and avatar rigging. It offers pay-per-use API pricing starting at $0.012/second for the s1 model and $0.024/second for the m1 model, with a $0.10 minimum per task. Subscription plans start at $50/month for individuals, with Move Pro offering custom multi-camera setups for studios.
A free exploration tier is available. Developers use Move AI to build body tracking features in fitness apps, game animation pipelines, and metaverse avatar systems.
Fit Assessment
Best for
- ✓motion-capture
- ✓video-processing