diff --git a/new_specie/fetch_annot_from_pngs.py b/new_specie/fetch_annot_from_pngs.py
new file mode 100755
index 0000000000000000000000000000000000000000..0427b3b21cae40e1e0c3f70e887c8dbb6f5e63fb
--- /dev/null
+++ b/new_specie/fetch_annot_from_pngs.py
@@ -0,0 +1,20 @@
+import pandas as pd
+import os
+import argparse
+
+parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter, \
+    description="""This script fetches the annotations stored via the sorting of .png files.
+                For each sample (.png file), the name of its parent folder will be set as label in the detection.pkl file (column type).
+                For instance, create a folder named annotation_toto. In it, create a folder Phee containing .png spectrograms of Phee vocalisations,
+                and another folder named Trill etc...
+                In these folders, add samples of the correct type to store annotations.""")
+parser.add_argument('annot_folder', type=str, help='Name of the folder containing annotations.')
+parser.add_argument("detections", type=str, help=".csv file with detections that were clustered (labels will be added to it)")
+args = parser.parse_args()
+
+df = pd.read_csv(args.detections))
+
+for label in os.listdir(args.annot_folder+'/'):
+    for file in os.listdir(f'{args.annot_folder}/{label}/'):
+        df.loc[int(file.split('.')[0]), 'type'] = label
+df.to_csv(args.detections, index=False)