diff --git a/detect_text.py b/detect_text.py
index 98f803e8..3821b6dd 100644
--- a/detect_text.py
+++ b/detect_text.py
@@ -62,7 +62,7 @@ def main():
         predictions_by_page[name].append(pred)
 
     with open(os.path.join(result_path, "results.json"), "w+") as f:
-        json.dump(predictions_by_page, f)
+        json.dump(predictions_by_page, f, ensure_ascii=False)
 
     print(f"Wrote results to {result_path}")
 
diff --git a/ocr_text.py b/ocr_text.py
index edd576a0..cdfa54e7 100644
--- a/ocr_text.py
+++ b/ocr_text.py
@@ -70,7 +70,7 @@ def main():
             page_image.save(os.path.join(result_path, f"{name}_{idx}_text.png"))
 
     with open(os.path.join(result_path, "results.json"), "w+") as f:
-        json.dump(predictions_by_image, f)
+        json.dump(predictions_by_image, f, ensure_ascii=False)
 
     print(f"Wrote results to {result_path}")
 
diff --git a/surya/ocr.py b/surya/ocr.py
index 3c04f04d..f4625ca7 100644
--- a/surya/ocr.py
+++ b/surya/ocr.py
@@ -7,6 +7,7 @@
 
 from surya.detection import batch_detection
 from surya.input.processing import slice_polys_from_image, slice_bboxes_from_image
+from surya.postprocessing.text import truncate_repetitions
 from surya.recognition import batch_recognition
 
 
@@ -73,6 +74,9 @@ def run_ocr(images: List[Image.Image], langs: List[List[str]], det_model, det_pr
         slice_start = slice_end
 
         assert len(image_lines) == len(det_pred["polygons"]) == len(det_pred["bboxes"])
+
+        # Remove repeated characters
+        image_lines = [truncate_repetitions(l) for l in image_lines]
         predictions_by_image.append({
             "text_lines": image_lines,
             "polys": det_pred["polygons"],
diff --git a/surya/postprocessing/text.py b/surya/postprocessing/text.py
index 0c0b0924..ea71d873 100644
--- a/surya/postprocessing/text.py
+++ b/surya/postprocessing/text.py
@@ -5,6 +5,37 @@
 from surya.settings import settings
 
 
+def truncate_repetitions(text: str, min_len=15):
+    # From nougat, with some cleanup
+    if len(text) < 2 * min_len:
+        return text
+
+    # try to find a length at which the tail is repeating
+    max_rep_len = None
+    for rep_len in range(min_len, int(len(text) / 2)):
+        # check if there is a repetition at the end
+        same = True
+        for i in range(0, rep_len):
+            if text[len(text) - rep_len - i - 1] != text[len(text) - i - 1]:
+                same = False
+                break
+
+        if same:
+            max_rep_len = rep_len
+
+    if max_rep_len is None:
+        return text
+
+    lcs = text[-max_rep_len:]
+
+    # remove all but the last repetition
+    text_to_truncate = text
+    while text_to_truncate.endswith(lcs):
+        text_to_truncate = text_to_truncate[:-max_rep_len]
+
+    return text[:len(text_to_truncate)]
+
+
 def get_text_size(text, font):
     im = Image.new(mode="P", size=(0, 0))
     draw = ImageDraw.Draw(im)