diff --git a/mainscripts/Extractor.py b/mainscripts/Extractor.py
index 8fdf7e7..47cf25e 100644
--- a/mainscripts/Extractor.py
+++ b/mainscripts/Extractor.py
@@ -163,17 +163,30 @@ class ExtractSubprocessor(Subprocessor):
                     output_file = '{}_{}{}'.format(str(self.output_path / filename_path.stem), str(face_idx), '.jpg')
                     face_idx += 1
                     
+                    landmarks=face_image_landmarks.tolist()
+                    source_filename = filename_path.name
+                    source_landmarks = image_landmarks.tolist()
+                    source_rect = rect
                     if src_dflimg is not None:
-                        #if extracting from dflimg just copy it in order not to lose quality
+                        #if extracting from dflimg copy it in order not to lose quality
+                        output_file = str(self.output_path / filename_path.name)
                         shutil.copy ( str(filename_path), str(output_file) )
+                        
+                        #and transfer data
+                        source_filename = src_dflimg.get_source_filename()                        
+                        mat = src_dflimg.get_image_to_face_mat()
+                        if mat is not None:
+                            image_to_face_mat = mat
+                            source_landmarks = LandmarksProcessor.transform_points (landmarks, image_to_face_mat, True)                            
                     else:
                         cv2_imwrite(output_file, face_image, [int(cv2.IMWRITE_JPEG_QUALITY), 85] )
 
-                    DFLJPG.embed_data(output_file, face_type = FaceType.toString(self.face_type),
-                                                   landmarks = face_image_landmarks.tolist(),
-                                                   source_filename = filename_path.name,
-                                                   source_rect=  rect,
-                                                   source_landmarks = image_landmarks.tolist()
+                    DFLJPG.embed_data(output_file, face_type=FaceType.toString(self.face_type),
+                                                   landmarks=landmarks,
+                                                   source_filename=source_filename,
+                                                   source_rect=source_rect,
+                                                   source_landmarks=source_landmarks,
+                                                   image_to_face_mat=image_to_face_mat
                                         )  
                         
                     result.append (output_file)