diff --git a/doc/py_tutorials/py_calib3d/py_epipolar_geometry/py_epipolar_geometry.markdown b/doc/py_tutorials/py_calib3d/py_epipolar_geometry/py_epipolar_geometry.markdown
index 0b63515c53..432773d3b2 100644
--- a/doc/py_tutorials/py_calib3d/py_epipolar_geometry/py_epipolar_geometry.markdown
+++ b/doc/py_tutorials/py_calib3d/py_epipolar_geometry/py_epipolar_geometry.markdown
@@ -86,7 +86,7 @@ kp1, des1 = sift.detectAndCompute(img1,None)
 kp2, des2 = sift.detectAndCompute(img2,None)
 
 # FLANN parameters
-FLANN_INDEX_KDTREE = 0
+FLANN_INDEX_KDTREE = 1
 index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5)
 search_params = dict(checks=50)
 
diff --git a/doc/py_tutorials/py_feature2d/py_feature_homography/py_feature_homography.markdown b/doc/py_tutorials/py_feature2d/py_feature_homography/py_feature_homography.markdown
index 4f5efa4a82..85547541f5 100644
--- a/doc/py_tutorials/py_feature2d/py_feature_homography/py_feature_homography.markdown
+++ b/doc/py_tutorials/py_feature2d/py_feature_homography/py_feature_homography.markdown
@@ -50,7 +50,7 @@ sift = cv2.xfeatures2d.SIFT_create()
 kp1, des1 = sift.detectAndCompute(img1,None)
 kp2, des2 = sift.detectAndCompute(img2,None)
 
-FLANN_INDEX_KDTREE = 0
+FLANN_INDEX_KDTREE = 1
 index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5)
 search_params = dict(checks = 50)
 
diff --git a/doc/py_tutorials/py_feature2d/py_matcher/py_matcher.markdown b/doc/py_tutorials/py_feature2d/py_matcher/py_matcher.markdown
index a37d579944..a04715438b 100644
--- a/doc/py_tutorials/py_feature2d/py_matcher/py_matcher.markdown
+++ b/doc/py_tutorials/py_feature2d/py_matcher/py_matcher.markdown
@@ -148,11 +148,13 @@ its related parameters etc. First one is IndexParams. For various algorithms, th
 passed is explained in FLANN docs. As a summary, for algorithms like SIFT, SURF etc. you can pass
 following:
 @code{.py}
+FLANN_INDEX_KDTREE = 1
 index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5)
 @endcode
 While using ORB, you can pass the following. The commented values are recommended as per the docs,
 but it didn't provide required results in some cases. Other values worked fine.:
 @code{.py}
+FLANN_INDEX_LSH = 6
 index_params= dict(algorithm = FLANN_INDEX_LSH,
                    table_number = 6, # 12
                    key_size = 12,     # 20
@@ -179,7 +181,7 @@ kp1, des1 = sift.detectAndCompute(img1,None)
 kp2, des2 = sift.detectAndCompute(img2,None)
 
 # FLANN parameters
-FLANN_INDEX_KDTREE = 0
+FLANN_INDEX_KDTREE = 1
 index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5)
 search_params = dict(checks=50)   # or pass empty dictionary