diff --git a/robotoff/app/api.py b/robotoff/app/api.py
index 995b81c2bb..28a53c93db 100644
--- a/robotoff/app/api.py
+++ b/robotoff/app/api.py
@@ -16,6 +16,7 @@
 from falcon.media.validators import jsonschema
 from falcon_cors import CORS
 from falcon_multipart.middleware import MultipartMiddleware
+from openfoodfacts import OCRResult
 from openfoodfacts.ocr import OCRParsingException, OCRResultGenerationException
 from openfoodfacts.types import COUNTRY_CODE_TO_NAME, Country
 from PIL import Image
@@ -627,16 +628,8 @@ def on_get(self, req: falcon.Request, resp: falcon.Response):
             )
 
         ocr_url = req.get_param("ocr_url", required=True)
-        aggregation_strategy = req.get_param("aggregation_strategy", default="FIRST")
-        model_version = req.get_param("model_version", default="1")
         try:
-            output = ingredient_list.predict_from_ocr(
-                ocr_url,
-                aggregation_strategy=ingredient_list.AggregationStrategy[
-                    aggregation_strategy
-                ],
-                model_version=model_version,
-            )
+            ocr_result = OCRResult.from_url(ocr_url, http_session, error_raise=True)
         except OCRResultGenerationException as e:
             error_message, _ = e.args
             resp.media = {
@@ -644,7 +637,27 @@ def on_get(self, req: falcon.Request, resp: falcon.Response):
                 "description": error_message,
             }
             return
-        resp.media = dataclasses.asdict(output)
+
+        aggregation_strategy = req.get_param("aggregation_strategy", default="FIRST")
+        model_version = req.get_param("model_version", default="1")
+        output = ingredient_list.predict_from_ocr(
+            ocr_result,
+            aggregation_strategy=ingredient_list.AggregationStrategy[
+                aggregation_strategy
+            ],
+            model_version=model_version,
+        )
+
+        output_dict = dataclasses.asdict(output)
+
+        if aggregation_strategy != "NONE":
+            # Add bounding boxes to entities
+            for entity in output_dict["entities"]:
+                entity["bounding_boxes"] = ocr_result.get_match_bounding_box(
+                    entity["start"], entity["end"]
+                )
+
+        resp.media = output_dict
 
 
 class UpdateDatasetResource: