diff --git a/klausur-service/backend/cv_vocab_pipeline.py b/klausur-service/backend/cv_vocab_pipeline.py
index 0613c95..e7806e9 100644
--- a/klausur-service/backend/cv_vocab_pipeline.py
+++ b/klausur-service/backend/cv_vocab_pipeline.py
@@ -1460,7 +1460,10 @@ def detect_column_geometry(ocr_img: np.ndarray, dewarped_bgr: np.ndarray) -> Opt
                 f"y=[{top_y}..{bottom_y}] ({content_h}px)")
 
     # --- Step 2: Get word bounding boxes from Tesseract ---
-    content_roi = dewarped_bgr[top_y:bottom_y, left_x:right_x]
+    # Crop from left_x to full image width (not right_x) so words at the right
+    # edge of the last column are included even if they extend past the detected
+    # content boundary (right_x).
+    content_roi = dewarped_bgr[top_y:bottom_y, left_x:w]
     pil_img = Image.fromarray(cv2.cvtColor(content_roi, cv2.COLOR_BGR2RGB))
 
     try: