diff --git a/src/vision/interfaces.ts b/src/vision/interfaces.ts
index bf4b8a2..d5ae8fc 100644
--- a/src/vision/interfaces.ts
+++ b/src/vision/interfaces.ts
@@ -7,6 +7,8 @@ export type VOCRParams = {
   page_range?: Array<number>;
   /** High fidelity word-level bounding boxes within complex documents. Default: false. */
   fine_grained?: boolean;
+  /** Include line and word level bounding box coordinates. When false, the coordinates are omitted but the text and confidence are still returned. Default: true. */
+  return_bounds?: boolean;
 };
 
 export interface VOCRResponse extends BaseResponse {
@@ -19,11 +21,11 @@ export interface VOCRResponse extends BaseResponse {
     text: string;
     lines: Array<{
       text: string;
-      bounds: BoundingBox;
+      bounds?: BoundingBox; // omitted when return_bounds is false
       average_confidence: number;
       words: Array<{
         text: string;
-        bounds: BoundingBox;
+        bounds?: BoundingBox; // omitted when return_bounds is false
         confidence: number;
       }>;
     }>;
diff --git a/tests/vision.test.ts b/tests/vision.test.ts
index d536757..abf860a 100644
--- a/tests/vision.test.ts
+++ b/tests/vision.test.ts
@@ -724,32 +724,6 @@ describe("Object Detection API", () => {
     });
   });
 
-  // Complex scenario tests
-  test("should work with comprehensive configuration", async () => {
-    const result = await client.vision.object_detection({
-      url: TEST_URLS.image,
-      prompts: ["detect all objects", "find text elements"],
-      features: ["object", "gui"],
-      annotated_image: true,
-      return_type: "url",
-    });
-
-    expectSuccess(result);
-    expectType(result, "object");
-
-    if (result.objects !== undefined) {
-      expectArray(result.objects);
-    }
-
-    if (result.gui_elements !== undefined) {
-      expectArray(result.gui_elements);
-    }
-
-    if (result.annotated_image !== undefined) {
-      expectType(result.annotated_image, "string");
-    }
-  });
-
   test("should work with file upload", async () => {
     const imageResponse = await fetch(TEST_URLS.image);
     const imageBlob = await imageResponse.blob();