diff --git a/api/utils/file_utils.py b/api/utils/file_utils.py
index 2dedcdc7b..5ab61b63b 100644
--- a/api/utils/file_utils.py
+++ b/api/utils/file_utils.py
@@ -146,7 +146,7 @@ def rewrite_yaml_conf(conf_path, config):
 
 
 def rewrite_json_file(filepath, json_data):
-    with open(filepath, "w") as f:
+    with open(filepath, "w", encoding='utf-8') as f:
         json.dump(json_data, f, indent=4, separators=(",", ": "))
     f.close()
 
diff --git a/deepdoc/parser/resume/entities/schools.py b/deepdoc/parser/resume/entities/schools.py
index d90d9fde0..598d7ae83 100644
--- a/deepdoc/parser/resume/entities/schools.py
+++ b/deepdoc/parser/resume/entities/schools.py
@@ -11,7 +11,10 @@
 #  limitations under the License.
 #
 
-import os, json,re,copy
+import os
+import json
+import re
+import copy
 import pandas as pd
 current_file_path = os.path.dirname(os.path.abspath(__file__))
 TBL = pd.read_csv(os.path.join(current_file_path, "res/schools.csv"), sep="\t", header=0).fillna("")
@@ -23,7 +26,7 @@ GOOD_SCH = set([re.sub(r"[,. &（）()]+", "", c) for c in GOOD_SCH])
 def loadRank(fnm):
     global TBL
     TBL["rank"] = 1000000
-    with open(fnm, "r",encoding='UTF-8') as f:
+    with open(fnm, "r", encoding='utf-8') as f:
         while True:
             l = f.readline()
             if not l:break
@@ -32,7 +35,7 @@ def loadRank(fnm):
                 nm,rk = l[0].strip(),int(l[1])
                 #assert len(TBL[((TBL.name_cn == nm) | (TBL.name_en == nm))]),f"<{nm}>"
                 TBL.loc[((TBL.name_cn == nm) | (TBL.name_en == nm)), "rank"] = rk
-            except Exception as e:
+            except Exception:
                 pass
 
 
diff --git a/deepdoc/vision/t_ocr.py b/deepdoc/vision/t_ocr.py
index 910b91be1..041c77107 100644
--- a/deepdoc/vision/t_ocr.py
+++ b/deepdoc/vision/t_ocr.py
@@ -41,7 +41,7 @@ def main(args):
             "score": 1} for b, t in bxs if b[0][0] <= b[1][0] and b[0][1] <= b[-1][1]]
         img = draw_box(images[i], bxs, ["ocr"], 1.)
         img.save(outputs[i], quality=95)
-        with open(outputs[i] + ".txt", "w+") as f:
+        with open(outputs[i] + ".txt", "w+", encoding='utf-8') as f:
             f.write("\n".join([o["text"] for o in bxs]))
 
 
diff --git a/deepdoc/vision/t_recognizer.py b/deepdoc/vision/t_recognizer.py
index e5d7a22ae..a5efc5dcd 100644
--- a/deepdoc/vision/t_recognizer.py
+++ b/deepdoc/vision/t_recognizer.py
@@ -50,7 +50,7 @@ def main(args):
         if args.mode.lower() == "tsr":
             #lyt = [t for t in lyt if t["type"] == "table column"]
             html = get_table_html(images[i], lyt, ocr)
-            with open(outputs[i] + ".html", "w+") as f:
+            with open(outputs[i] + ".html", "w+", encoding='utf-8') as f:
                 f.write(html)
             lyt = [{
                 "type": t["label"],
diff --git a/rag/benchmark.py b/rag/benchmark.py
index dc48bed3e..1146d55bf 100644
--- a/rag/benchmark.py
+++ b/rag/benchmark.py
@@ -237,8 +237,8 @@ class Benchmark:
                 scores = sorted(scores, key=lambda kk: kk[1])
                 for score in scores[:10]:
                     f.write('- text: ' + str(texts[score[0]]) + '\t qrel: ' + str(score[1]) + '\n')
-        json.dump(qrels, open(os.path.join(file_path, dataset + '.qrels.json'), "w+"), indent=2)
-        json.dump(run, open(os.path.join(file_path, dataset + '.run.json'), "w+"), indent=2)
+        json.dump(qrels, open(os.path.join(file_path, dataset + '.qrels.json'), "w+", encoding='utf-8'), indent=2)
+        json.dump(run, open(os.path.join(file_path, dataset + '.run.json'), "w+", encoding='utf-8'), indent=2)
         print(os.path.join(file_path, dataset + '_result.md'), 'Saved!')
 
     def __call__(self, dataset, file_path, miracl_corpus=''):