diff --git a/ocrd_cis/align/cli.py b/ocrd_cis/align/cli.py
index ffe53fd8..7747622e 100644
--- a/ocrd_cis/align/cli.py
+++ b/ocrd_cis/align/cli.py
@@ -2,7 +2,7 @@
 import click
 import json
 import os
-import Levenshtein
+from rapidfuzz.distance import Levenshtein
 from ocrd import Processor
 from ocrd.decorators import ocrd_cli_options
 from ocrd.decorators import ocrd_cli_wrap_processor
diff --git a/ocrd_cis/div/eval.py b/ocrd_cis/div/eval.py
index 6efe90c6..f47682ff 100644
--- a/ocrd_cis/div/eval.py
+++ b/ocrd_cis/div/eval.py
@@ -1,6 +1,6 @@
 import os
 from PIL import Image
-from Levenshtein import distance
+from rapidfuzz.distance.Levenshtein import distance
 
 
 path = '/mnt/c/Users/chris/Documents/projects/OCR-D/daten/gt/lines/'
diff --git a/ocrd_cis/div/stats.py b/ocrd_cis/div/stats.py
index ea385d98..6f9c9816 100644
--- a/ocrd_cis/div/stats.py
+++ b/ocrd_cis/div/stats.py
@@ -4,7 +4,7 @@
 from ocrd import Processor
 from ocrd_cis import get_ocrd_tool
 from ocrd_models.ocrd_page_generateds import parse
-from Levenshtein import distance
+from rapidfuzz.distance import Levenshtein
 
 
 class Stats(Processor):
@@ -81,7 +81,7 @@ def process(self):
                         # print(line.get_TextEquiv()[2].dataType)
                         unicodeline = line.get_TextEquiv()[i].Unicode
 
-                        d[i] += distance(gtline, unicodeline)
+                        d[i] += Levenshtein.distance(gtline, unicodeline)
 
                         # words = line.get_Word()
                         # for word in words: