diff --git a/app/pages/PageEnigma/Editor/Engines/Helpers/CharacterPoseHelper.ts b/app/pages/PageEnigma/Editor/Engines/Helpers/CharacterPoseHelper.ts
new file mode 100644
index 0000000000..4e7a1a9952
--- /dev/null
+++ b/app/pages/PageEnigma/Editor/Engines/Helpers/CharacterPoseHelper.ts
@@ -0,0 +1,81 @@
+import { loadImage } from "~/Helpers/ImageHelpers";
+import { EditorExpandedI } from "~/pages/PageEnigma/contexts/EngineContext";
+import { FilesetResolver, HandLandmarker, HandLandmarkerResult, PoseLandmarker, PoseLandmarkerResult } from "@mediapipe/tasks-vision"
+
+export class CharacterPoseHelper {
+
+  editor: EditorExpandedI;
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  filesetResolver: any;
+  numHands = 2;
+  numPoses = 1;
+  runningMode = "IMAGE";
+
+  constructor(editor: EditorExpandedI) {
+    this.editor = editor;
+    this.filesetResolver = undefined;
+  }
+
+  async initResolver() {
+    if (this.filesetResolver) {
+      return;
+    }
+
+    this.filesetResolver = await FilesetResolver.forVisionTasks(
+      "https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@0.10.0/wasm"
+    );
+  }
+
+  async extractPoseData(url: string): { hands: HandLandmarkerResult, pose: PoseLandmarkerResult } {
+    const frameImage = new Image();
+    frameImage.crossOrigin = "anonymous";
+    frameImage.src = url;
+
+    // Wait for image to load before extracting pose data
+    await loadImage(frameImage);
+    console.debug("Loaded image for inference", frameImage, frameImage.height, frameImage.width)
+
+    // Initialize mediapipe for the image
+    await this.initResolver(); // Make sure the resolver is loaded
+
+    const handLandmarker = await HandLandmarker.createFromOptions(this.filesetResolver, {
+      baseOptions: {
+        modelAssetPath: `https://storage.googleapis.com/mediapipe-models/hand_landmarker/hand_landmarker/float16/1/hand_landmarker.task`,
+        delegate: "GPU",
+      },
+      numHands: this.numHands,
+      runningMode: this.runningMode
+    })
+
+    const poseLandmarker = await PoseLandmarker.createFromOptions(this.filesetResolver, {
+      baseOptions: {
+        modelAssetPath: `https://storage.googleapis.com/mediapipe-models/pose_landmarker/pose_landmarker_lite/float16/1/pose_landmarker_lite.task`,
+        delegate: "GPU"
+      },
+      runningMode: this.runningMode,
+      numPoses: this.numPoses
+    })
+
+    // Run the detection on image
+    const handResults = handLandmarker.detect(frameImage)
+    console.debug("Hand results: ", handResults);
+
+    const poseResults = poseLandmarker.detect(frameImage)
+    console.debug("Pose results: ", poseResults);
+
+    return { hands: handResults, pose: poseResults };
+  }
+
+  applyPoseDataToCharacter(characterId: string, poseData: { hands: HandLandmarkerResult, pose: PoseLandmarkerResult }) {
+    // Apply the pose data to the character
+    const character = this.editor.timeline.scene.get_object_by_uuid(characterId);
+    if (!character) {
+      console.error("Character not found with id: ", characterId);
+      return;
+    }
+
+    // Apply the pose data to the character
+    console.debug("Character:", character)
+  }
+
+}