Plask Extracts Motion Data from Video Using Artificial Intelligence

Published on January 06, 2026 | Translated from Spanish
Screenshot of the Plask web interface showing a video of a person in motion and the 3D skeleton generated by artificial intelligence.

Plask Extracts Motion Data from Video Using Artificial Intelligence

Motion capture technology takes a leap by eliminating expensive hardware. Plask is a system that uses artificial intelligence to analyze conventional video recordings and transform them into animations ready for 3D characters. This solution operates entirely from a web browser, opening possibilities to a wider spectrum of creators 🚀.

How Does the Extraction Process Work?

The user only needs to upload a video where a person performs an action. Plask's AI identifies and tracks key joint points in each frame. With this data, the system calculates the rotation of each joint and builds a digital animated skeleton. This result, which forms the basis of the animation, can be downloaded in universal formats.

Formats and Compatibility:
  • FBX and BVH: Standard formats for exchanging animation data.
  • Direct Integration: Files import into Blender, Maya, or Unreal Engine.
  • Apply to Rig: The extracted motion is assigned to the bone system of any prepared 3D model.
This methodology democratizes access to motion capture, as it only requires a common camera.

Key Advantages of This Approach

This method represents a significant change in the workflow for animating characters. It reduces entry barriers by dispensing with motion capture suits or rooms equipped with sensors. This allows independent artists or studios with fewer resources to produce high-quality animations agilely.

Main Use Cases:
  • Prototype animation ideas quickly and affordably.
  • Create content for video games or audiovisual productions.
  • Generate animated previews to validate concepts.

Considerations and Future

The accuracy of the result largely depends on the quality of the source video and the complexity of the recorded movements. Although it may misinterpret very subtle or overlapping gestures, it provides a solid foundation that the artist can refine later in their preferred 3D software. The technology is advancing to better understand the expressiveness of human movement, promising a future where animating is more intuitive and accessible to everyone 🎬.