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QuickMagic

Motion capture from video or text, no suits

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What QuickMagic is

QuickMagic is an AI motion capture tool that turns video into editable 3D animation data. It estimates body, hand and facial movement frame by frame without suits, markers or a multi-camera studio, and can also generate motion drafts from a text prompt.

Exports target the major 3D tools, with formats including FBX and BVH and destinations such as Blender, Unreal Engine, Unity and Maya. The site also lists motion references for humanoid robot simulation workflows.

What you can do with it

  • Convert phone, webcam or camera footage into 3D motion
  • Describe an action in text and get a motion draft
  • Capture multiple subjects when footage allows it
  • Export animation data into standard 3D software
  • Produce motion references for robot simulation work

Who it is for

  • Animators without access to mocap hardware
  • Game teams prototyping character motion
  • Robotics researchers needing human motion references
  • Studios feeding Unreal, Unity or Maya pipelines

What to watch out for

  • Results depend on subject visibility, lighting, motion blur and occlusion; complex contact or fast spins need cleanup
  • Export availability varies by plan and workflow
  • Captured performance needs performer consent documented
  • Text-generated motion is a draft, not a finished performance

Pros & cons

✓ What we like

  • Mocap without physical equipment
  • Text prompt as a motion source
  • Wide export compatibility

! What to watch out for

  • Footage quality constrains accuracy
  • Cleanup work remains in the 3D tool
  • Export options vary by plan

FAQ

What is AI motion capture?

Estimating human movement from video with computer vision and converting it to 3D animation data, without markers or a studio.

Which footage works well?

Clear footage with the subject visible, adequate lighting, limited blur and minimal occlusion; full-body framing is recommended for body capture.

Can it capture more than one person?

Multi-subject workflows are supported on suitable footage; keep each person visible and check the current subject limit in the product.

Last reviewed: 2026-09-16

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