diff --git a/visual_workflow_builder/backend/api_v3/capture.py b/visual_workflow_builder/backend/api_v3/capture.py
index 0d28b1c6d..35a9fb5bd 100644
--- a/visual_workflow_builder/backend/api_v3/capture.py
+++ b/visual_workflow_builder/backend/api_v3/capture.py
@@ -199,11 +199,21 @@ def select_anchor():
         thumbnail.save(thumbnail_path, 'PNG')
 
         # ── Analyse automatique du crop : OCR + VLM ────────────────────
+        # Zone élargie autour de l'ancre pour capturer le texte à côté
+        margin = 50
+        expanded = img.crop((
+            max(0, x - margin),
+            max(0, y - margin),
+            min(img.width, x + w + margin * 3),
+            min(img.height, y + h + margin)
+        ))
         target_text = ""
         ocr_description = ""
         try:
             from services.ocr_service import ocr_extract_text
-            target_text = ocr_extract_text(thumbnail).strip()
+            target_text = ocr_extract_text(expanded).strip()
+            if not target_text:
+                target_text = ocr_extract_text(thumbnail).strip()
             print(f"🔍 [OCR] Texte extrait de l'ancre: '{target_text}'")
 
             # Si le texte OCR est trop court ou vide, décrire via VLM
@@ -226,7 +236,7 @@ def select_anchor():
                             "stream": False,
                             "options": {"temperature": 0.1, "num_predict": 15}
                         },
-                        timeout=15
+                        timeout=60
                     )
                     if resp.status_code == 200:
                         ocr_description = resp.json().get("response", "").strip()