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Facecap Basic Demo

by studioromanrec·VFX

Images © studioromanrec. Used for product review; image policy.

Why we like it

Stands out in the superhive library because it produces facial animation from ordinary footage, including a webcam or Android phone, rather than requiring an iPhone or depth sensor.

What is Facecap Basic Demo?

Facecap Basic Demo is an AI facial motion capture add-on for Blender from studioromanrec, offered as the demo version of the FaceCap toolkit. It generates facial animation from ordinary video, so there is no need for an iPhone, TrueDepth sensor, or a mocap suit. Any MP4, MOV, or AVI file works, whether it comes from a cheap webcam, an Android phone, or a pre-recorded clip.

The add-on processes video into animation data and extracts all 52 ARKit-compatible blendshapes, along with eye and head tracking. You can map the captured data to your own character's shape keys for custom rig support. The workflow runs inside a panel in Blender: load the video, click Process to let the AI solve the motion, then use the built-in smoothing to refine the result.

Facecap Basic Demo supports Blender 4.2 through 5.1 and works with both Cycles and Eevee. It is released under the GPL license and listed here as free. After installation, the required libraries are added through an 'Install Dependencies' button, followed by a Blender restart.

Who is Facecap Basic Demo best for?

Facecap Basic Demo is best for independent creators who want to generate facial animation from any video source without Apple hardware or depth sensors.

How much does Facecap Basic Demo cost?

Facecap Basic Demo is completely free to download and use.

Key features

  • Processes any video (MP4, MOV, AVI) into facial animation data with no iPhone, TrueDepth sensor, or mocap suit required
  • Extracts all 52 ARKit-compatible blendshapes
  • Captures eye and head tracking
  • Maps animation data to your own character's shape keys for custom rig support
  • Runs from a panel in Blender: load a video and click Process to solve the motion
  • Built-in smoothing to refine the result

Tags

#Facial Motion Capture#AI Animation#Blender Add-on#Facial Animation#ARKit Blendshapes#Performance Capture#Character Animation

Frequently asked questions

Which Blender versions does Facecap Basic Demo support?

Facecap Basic Demo runs on Blender versions 4.2 through 5.1 and is listed as a Blender extension. It works with both the Cycles and Eevee render engines, so it fits into standard Blender setups without a specific engine requirement. The add-on is released under the GPL license. If you are on a version within that 4.2 to 5.1 range, the add-on should load and be ready to use once its required dependencies have been installed.

How do I install Facecap Basic Demo?

Facecap Basic Demo installs like a standard Blender add-on, with one extra step. After you install the add-on in Blender, click the 'Install Dependencies' button to bring in the required libraries the tool needs. Once that installation finishes, you must restart Blender. The add-on becomes ready to use only after the restart, so plan for that step before you start loading and processing any footage in the panel.

What video formats does Facecap Basic Demo accept?

Facecap Basic Demo accepts MP4, MOV, and AVI video files, so you can feed it footage from almost any camera. A cheap webcam, an Android phone, or a pre-recorded clip all work, and if there is a face in the video the add-on can process it. No iPhone, TrueDepth sensor, or specialized depth hardware is required. You load the video into the FaceCap panel in Blender and click Process to let the AI solve the motion.

Is Facecap Basic Demo free?

Facecap Basic Demo is listed as free in this catalog, and it is the demo version of the FaceCap add-on family from studioromanrec. Licensing and pricing can change over time, so for the current terms and any paid versions it is best to check the developer's page. Note that the add-on itself is distributed under the GPL license, which governs how the code can be used and shared once you have it installed.

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