diff --git a/klausur-service/backend/ocr_pipeline_api.py b/klausur-service/backend/ocr_pipeline_api.py
index f0bb08d..d204da0 100644
--- a/klausur-service/backend/ocr_pipeline_api.py
+++ b/klausur-service/backend/ocr_pipeline_api.py
@@ -2020,9 +2020,10 @@ async def detect_words(
         },
     }
 
-    # For vocab layout: map cells 1:1 to vocab entries (row→entry).
-    # No content shuffling — each cell stays at its detected position.
-    if is_vocab:
+    # For vocab layout or single-column (box sub-sessions): map cells 1:1
+    # to vocab entries (row→entry).
+    has_text_col = 'column_text' in col_types
+    if is_vocab or has_text_col:
         entries = _cells_to_vocab_entries(cells, columns_meta)
         entries = _fix_phonetic_brackets(entries, pronunciation=pronunciation)
         word_result["vocab_entries"] = entries
@@ -2169,7 +2170,8 @@ async def _word_batch_stream_generator(
     }
 
     vocab_entries = None
-    if is_vocab:
+    has_text_col = 'column_text' in col_types
+    if is_vocab or has_text_col:
         entries = _cells_to_vocab_entries(cells, columns_meta)
         entries = _fix_phonetic_brackets(entries, pronunciation=pronunciation)
         word_result["vocab_entries"] = entries
@@ -2308,10 +2310,11 @@ async def _word_stream_generator(
         },
     }
 
-    # For vocab layout: map cells 1:1 to vocab entries (row→entry).
-    # No content shuffling — each cell stays at its detected position.
+    # For vocab layout or single-column (box sub-sessions): map cells 1:1
+    # to vocab entries (row→entry).
     vocab_entries = None
-    if is_vocab:
+    has_text_col = 'column_text' in col_types
+    if is_vocab or has_text_col:
         entries = _cells_to_vocab_entries(all_cells, columns_meta)
         entries = _fix_character_confusion(entries)
         entries = _fix_phonetic_brackets(entries, pronunciation=pronunciation)
@@ -3980,7 +3983,8 @@ async def run_auto(session_id: str, req: RunAutoRequest, request: Request):
                     },
                 }
 
-                if is_vocab:
+                has_text_col = 'column_text' in col_types
+                if is_vocab or has_text_col:
                     entries = _cells_to_vocab_entries(cells, columns_meta)
                     entries = _fix_character_confusion(entries)
                     entries = _fix_phonetic_brackets(entries, pronunciation=req.pronunciation)