diff --git a/surya/detection/__init__.py b/surya/detection/__init__.py
index 7c38ba1..337af78 100644
--- a/surya/detection/__init__.py
+++ b/surya/detection/__init__.py
@@ -143,7 +143,7 @@ def batch_generator(self, iterable, batch_size=None):
         for i in range(0, len(iterable), batch_size):
             yield iterable[i:i+batch_size]
 
-    def __call__(self, images, text_boxes, batch_size=None, include_maps=False) -> List[TextDetectionResult]:
+    def __call__(self, images, text_boxes: List[List[List[float]]], batch_size=None, include_maps=False) -> List[TextDetectionResult]:
         detection_generator = self.batch_detection(images, batch_size=batch_size, static_cache=settings.DETECTOR_STATIC_CACHE)
         text_box_generator = self.batch_generator(text_boxes)
 
diff --git a/tests/test_inline_detection.py b/tests/test_inline_detection.py
index b63105e..19bbe28 100644
--- a/tests/test_inline_detection.py
+++ b/tests/test_inline_detection.py
@@ -1,12 +1,15 @@
 from PIL import Image, ImageDraw
 
 
-def test_latex_ocr(inline_detection_predictor):
+def test_inline_detection(inline_detection_predictor, detection_predictor):
     img = Image.new('RGB', (1024, 1024), color='white')
     draw = ImageDraw.Draw(img)
     draw.text((10, 200), "where B(x, ϵ) is the norm ball with radius xadv = x + ϵ · sgn (∇xL(f (x, w), y))", fill='black', font_size=48)
 
-    inline_detection_results = inline_detection_predictor([img])
+    detection_results = detection_predictor([img])
+    bboxes = [[bb.bbox for bb in detection_results[0].bboxes]]
+
+    inline_detection_results = inline_detection_predictor([img], bboxes)
 
     assert len(inline_detection_results) == 1
     assert inline_detection_results[0].image_bbox == [0, 0, 1024, 1024]