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RADiCAL is an AI motion capture and 3D scene platform that extracts full-body and facial animation from ordinary video, then streams or exports it as FBX to Unreal, Unity, Blender and Maya.

About Radical

What RADiCAL Is

RADiCAL is an AI-powered motion capture and 3D content platform that pulls animation out of plain video. Point it at footage of a person moving and it reconstructs full-body motion, with no suit, no markers and no specialized hardware. That markerless approach is the core idea: motion capture that used to demand a studio becomes something you can do from a recorded clip or a live feed.

The platform pairs two integrated products. RADiCAL Motion is the AI mocap engine, real-time, markerless and multiplayer. RADiCAL Canvas is a web app for collaborative real-time 3D scene design and prototyping. Together they cover capturing movement and placing it inside a scene.

How RADiCAL Works

You provide video, and the AI analyzes it to extract a 3D skeleton's motion. From the same footage you can also extract facial animation data, so body and face come from one source rather than separate capture sessions. The resulting animation can be streamed live into your 3D software or exported as a file.

Because everything is driven by computer vision rather than physical sensors, the workflow removes the calibration and gear that traditional mocap requires. That lowers the barrier for indie animators, students and small studios who could never justify a marker-based rig.

Standout Features

Markerless AI Motion Capture

The headline capability is extracting full-body motion from ordinary video without a suit or markers. This is what makes RADiCAL accessible: a single camera and footage are enough to get usable animation data.

Facial Motion Capture

RADiCAL can pull facial animation from the same video used for body capture, then export it as FBX or stream it live. Getting body and face from one clip simplifies character animation considerably.

Real-Time Streaming to DCC Tools

Through free plugins, RADiCAL streams, animates and exports motion directly to Unreal Engine, Unity, Maya, Blender and other leading software. Live streaming into your engine of choice supports real-time previz, virtual production and interactive work.

FBX Export

Captured motion exports in the FBX format, the standard interchange for animation, so data drops into existing pipelines without conversion headaches.

RADiCAL Canvas

The Canvas web app adds collaborative, real-time 3D scene design and prototyping, letting teams compose scenes together in the browser alongside the captured motion. Because it runs as a web app, collaborators can join and contribute to a scene without each installing a heavy desktop package, which fits distributed teams.

Real-Time and Multiplayer Capture

RADiCAL Motion is built to run in real time and to support multiplayer capture, meaning more than one performer can be tracked at once. For previz, virtual production and live interactive sessions, capturing and reacting to motion as it happens is a meaningful advantage over an offline, frame-by-frame process.

Who RADiCAL Is For

RADiCAL suits game developers, indie animators, virtual production teams, content creators and students who need motion data without the cost of a traditional capture stage. Its plugin support for Unreal, Unity, Blender and Maya makes it a fit for anyone already working in those tools. Live streaming also serves virtual influencers, VTubers and real-time performance use cases where motion needs to drive a character on the fly.

As with any video-based capture, results depend on footage quality, framing and lighting, so very fast or heavily occluded motion can be harder to track cleanly than with a marker rig. For clean, well-lit single-camera footage of clear movement, though, the markerless approach removes an enormous amount of setup that would otherwise gate this kind of work.

Pricing and Plans

RADiCAL has offered a Free Personal tier alongside paid subscriptions, with the free plan providing a limited amount of yearly playtime and a small number of FBX exports and data streams. Paid plans have included Starter, Standard and Creator levels at different monthly rates. An important note: Autodesk has acquired RADiCAL's core technology and IP, and existing users were given until 6 July 2026 to download their files from the web portal, so current availability and pricing should be verified directly before relying on the service.

Verdict

RADiCAL pushed AI mocap forward by turning a single video into full-body and facial animation that streams straight into Unreal, Unity, Blender and Maya. For indie creators and small studios, that accessibility was its biggest strength. The recent Autodesk acquisition of its core technology changes the picture, so anyone evaluating it today should check the latest status of the platform and any successor offering before committing to a workflow.

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Listing Date2/26/2026

FAQs about Radical

RADiCAL is an AI motion capture platform that extracts full-body and facial animation from ordinary video without suits or markers, then streams or exports the motion to 3D software.
RADiCAL provides free plugins to stream, animate and export motion directly to Unreal Engine, Unity, Maya, Blender and other leading 3D applications, with FBX export for standard pipelines.
No. RADiCAL uses markerless AI motion capture driven by computer vision, so it extracts motion from regular video footage without a suit, markers or specialized hardware.
Yes. It can extract facial animation from the same video used for full-body capture, then export it in FBX or stream it live into Blender, Unity or Unreal Engine.
RADiCAL has offered a Free Personal tier with limited yearly playtime and a few FBX exports, plus paid plans. Note that Autodesk has acquired its core technology, so verify current availability and pricing on the site.
It suits game developers, indie animators, virtual production teams and content creators who want accessible motion data without a traditional capture stage, especially those already using Unreal, Unity, Blender or Maya.