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Integrate MediaPipe Solutions Tasks for Web 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 Demo💬 Forum DiscussionIntegrate 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 Detection✅ Custom Model SupportDevelopers can integrate their own machine learning models trained with tools such as MediaPipe Model Maker or TensorFlow. This enables project-specific ML workflows such as custom object detection, domain-specific image classification, specialized audio analysis, and custom text processing directly in the browser.What 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.🧩 MORE ASSETS FOR UNITY WEBTake your Unity Web projects even further with these powerful companion plugins — all built with the same focus on performance, clean API design, and seamless WebGL integration.📷 Augmented Reality WebGL — Image Tracking WebAR Bring Image AR directly to the browser — no app download required. Anchor 3D content to real-world image targets with fast, accurate natural-feature tracking. Supports simultaneous multi-image tracking and works seamlessly across Chrome, Safari, Edge, and Firefox on both desktop and mobile. → View on Asset Store🎥 Recorder WebGL The only Unity plugin built specifically to record gameplay video in WebGL builds. Capture in-game audio, microphone input, or both — with configurable framerate, pause/resume support, and export to MP4 or WebM. Everything runs client-side, no server required. → View on Asset Store🔥 WebGL API for Firebase Unlock the full Firebase suite inside Unity WebGL — Authentication, Firestore, Realtime Database, Storage, Analytics, Messaging, App Check, Performance, and more. The official Firebase Unity SDK doesn't support WebGL; this plugin fills that gap with a clean, comprehensive integration. → View on Asset Store🔧 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 files🔊 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.