diff --git a/releve2csv b/releve2csv
new file mode 100755
index 0000000000000000000000000000000000000000..125859bb8dde047158543354510784cbc3f59e47
--- /dev/null
+++ b/releve2csv
@@ -0,0 +1,47 @@
+#! /bin/env python3
+import camelot
+import pandas as pd
+import argparse
+import os
+
+arg_parser = argparse.ArgumentParser(
+        description="Un simple script de convertion de relevé LCL pdf vers csv")
+
+arg_parser.add_argument('path',
+       help="Chemin du relevé pdf à convertire")
+
+arg_parser.add_argument("-o", "--out", default="%path%.csv",
+       help="Chemin du fichier csv de sortie")
+
+arg_parser.add_argument("--full-label", action="store_true",
+       help="Exporte toutes les lignes du relevé (dont REF et LABEL)")
+
+args = arg_parser.parse_args()
+
+if args.out == "%path%.csv":
+    args.out = os.path.splitext(args.path)[0]+'.csv'
+
+print("Convertion de "+args.path+" vers "+args.out)
+
+tables = camelot.read_pdf(args.path, pages="1-end", flavor="stream")
+
+print("Total tables extracted:", tables.n)
+
+first_df = tables[1].df
+first_df.iloc[1,1] = first_df.iloc[1,2]
+first_df.drop(2,inplace=True,axis=1)
+first_df.columns = range(first_df.columns.size)
+df_list = [first_df]
+if len(tables) > 2:
+    for table in tables[2:]:
+        df_list.append(table.df.iloc[2:])
+
+r = pd.concat(df_list)
+r.iloc[1:,0] = r.iloc[1:,2]
+r[2] = ""
+r.insert(1,"","")
+r[0] = r[0].str.replace('.','/',regex=False)
+if not args.full_label :
+    r = r[r[0] != ""]
+
+r.to_csv(args.out, sep=";",index=False, header=False)
diff --git a/releve2csv.py b/releve2csv.py
deleted file mode 100755
index b70ae8cc9a622718b9cda2c0ea6c71387eafd2af..0000000000000000000000000000000000000000
--- a/releve2csv.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import camelot
-import pandas as pd
-
-file = "test.pdf"
-
-tables = camelot.read_pdf(file, pages="1-end", flavor="stream")
-
-print("Total tables extracted:", tables.n)
-
-first_df = tables[1].df
-first_df.iloc[1,1] = first_df.iloc[1,2]
-first_df.drop(2,inplace=True,axis=1)
-first_df.columns = range(first_df.columns.size)
-df_list = [first_df]
-if len(tables) > 2:
-    for table in tables[2:]:
-        df_list.append(table.df.iloc[2:])
-
-r = pd.concat(df_list)
-r.iloc[1:,0] = r.iloc[1:,2]
-r[2] = ""
-r.insert(1,"","")
-r[0] = r[0].str.replace('.','/',regex=False)
-r = r[r[0] != ""]
-r.to_csv("foo.csv", sep=";",index=False, header=False)