diff --git a/backend/ocr_measurement.py b/backend/ocr_measurement.py
index 6fddf45..3782815 100644
--- a/backend/ocr_measurement.py
+++ b/backend/ocr_measurement.py
@@ -96,7 +96,8 @@ def _tesseract_detect(image_path, img_width, img_height):
         # Get word-level bounding boxes from Tesseract
         data = pytesseract.image_to_data(img, output_type=pytesseract.Output.DICT)
 
-        # Group words into blocks by block_num
+        # Group words by block + line for finer element separation
+        # (Tesseract often groups date + logo into one block)
         block_groups = {}
         for i in range(len(data['text'])):
             text = data['text'][i].strip()
@@ -104,9 +105,10 @@ def _tesseract_detect(image_path, img_width, img_height):
             if not text or conf < 30:  # Skip low confidence detections
                 continue
 
-            block_num = data['block_num'][i]
-            if block_num not in block_groups:
-                block_groups[block_num] = {
+            # Use block_num + line_num as key for finer grouping
+            group_key = (data['block_num'][i], data['line_num'][i])
+            if group_key not in block_groups:
+                block_groups[group_key] = {
                     'words': [],
                     'lefts': [],
                     'tops': [],
@@ -115,7 +117,7 @@ def _tesseract_detect(image_path, img_width, img_height):
                     'word_heights': [],
                 }
 
-            bg = block_groups[block_num]
+            bg = block_groups[group_key]
             bg['words'].append(text)
             left = data['left'][i]
             top = data['top'][i]
@@ -128,7 +130,7 @@ def _tesseract_detect(image_path, img_width, img_height):
             bg['word_heights'].append(h)
 
         blocks = []
-        for block_num, bg in block_groups.items():
+        for group_key, bg in block_groups.items():
             if not bg['words']:
                 continue