MediaPipe for Unity Web | AI, Face Tracking, Computer Vision & AR
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Integrate MediaPipe Tasks for Web into Unity and unlock real-time AI, face tracking, computer vision, audio, and text capabilities for browser-based applications — including detection and segmentationThe plugin is render pipeline–agnostic and compatible with Built-in and URP. Example shaders were created using URP, as it is the default render pipeline when creating a project in Unity 6. If using a different pipeline, minor shader modifications may be required. Core functionality is unaffected.🚀 Live Web DemoIntegrate MediaPipe Solutions Tasks for Web directly into Unity and bring real-time machine learning to your Web projects. Access powerful AI capabilities across computer vision, audio processing, and text analysis — all running directly in the browser.Build advanced augmented reality effects, gesture-driven interactions, face and body tracking systems, intelligent object detection pipelines, and language-aware features inside Unity Web.✅ Designed for WebBuilt specifically for Unity Web, the plugin bridges Unity and the MediaPipe Web runtime efficiently and cleanly.✅ Official API StructureThe architecture mirrors the official MediaPipe Solutions Tasks JavaScript API, making the integration largely self-documenting. Developers can leverage existing documentation, examples, and established patterns to accelerate development.✅ High Performance & Low OverheadBuilt with performance and memory efficiency as core priorities, the plugin is optimized for real-time browser-based applications. It delivers fast execution and remains lightweight enough for mobile web deployments.✅ Broad Task SupportThe plugin currently supports a comprehensive range of MediaPipe Solutions Tasks for Web across three primary domains:🔊 AudioAudio Classification📝 TextText ClassificationText EmbeddingLanguage Detection👁 VisionObject DetectionImage ClassificationImage SegmentationInteractive SegmentationGesture RecognitionHand Landmark DetectionImage EmbeddingFace DetectionFace Landmark DetectionPose Landmark DetectionWhat Can You Build?• Browser-based AR face filters and visual effects powered by face detection and landmark tracking• Gesture-controlled interfaces using real-time hand landmark detection and gesture recognition• Pose-driven character animation and interactive avatar systems• Object detection overlays and intelligent scene-aware interactions• Background removal and segmentation-based visual effects• Image and text classification workflows running entirely client-side• Audio classification systems for browser-based applications• Language detection and embedding-powered text featuresAsset uses MediaPipe under Apache 2.0 License; see Third-Party Notices.txt file in package for details.🔧 Input Type Support👁 Vision TasksWhen using the Vision library, the following Unity types are supported out of the box:RenderTextureWebCamTextureSpriteImageRawImageTexture2D🎥 Video & Camera InputVision tasks support real-time analysis from:Webcam inputUnity VideoPlayerThis enables analysis of:Live webcam feedsPre-recorded video filesDynamically rendered content🔊 Audio TasksWhen using the Audio library, the plugin supports:AudioClip📝 Text TasksWhen using the Text library, the plugin supports:String📘 Familiar API & Official Example ParityThe plugin mirrors the official MediaPipe Tasks for Web API structure, allowing you to follow the official documentation and examples directly when building your experiences.All official Web examples have been implemented, with additional extended samples included for Unity integration.For example, to reference the Object Detection example:Open the MediaPipe Solutions GuideNavigate to Object Detection → WebOpen the Code Example (CodePen)The corresponding functionality and structure are available within this Unity package, making it easy to translate official JavaScript examples into Unity Web workflows.⚠️ Editor LimitationThe plugin does not run inside the Unity Editor.It works only in the actual build.This is due to browser/WebAssembly and runtime-specific dependencies that are not available in Editor mode.
