diff --git a/tests/visual-test.py b/tests/visual-test.py
new file mode 100644
index 0000000..dd95451
--- /dev/null
+++ b/tests/visual-test.py
@@ -0,0 +1,50 @@
+import matplotlib.pyplot as plt
+from deepface import DeepFace
+
+model_names = [
+    "VGG-Face",
+    "Facenet",
+    "Facenet512",
+    "OpenFace",
+    "DeepFace",
+    "DeepID",
+    "Dlib",
+    "ArcFace",
+    "SFace",
+]
+detector_backends = ["opencv", "ssd", "dlib", "mtcnn", "retinaface"]
+
+# verification
+for model_name in model_names:
+    obj = DeepFace.verify(
+        img1_path="dataset/img1.jpg", img2_path="dataset/img2.jpg", model_name=model_name
+    )
+    print(obj)
+    print("---------------------")
+
+# represent
+for model_name in model_names:
+    embedding_objs = DeepFace.represent(img_path="dataset/img1.jpg", model_name=model_name)
+    for embedding_obj in embedding_objs:
+        embedding = embedding_obj["embedding"]
+        print(f"{model_name} produced {len(embedding)}D vector")
+
+# find
+dfs = DeepFace.find(
+    img_path="dataset/img1.jpg", db_path="dataset", model_name="Facenet", detector_backend="mtcnn"
+)
+for df in dfs:
+    print(df)
+
+# extract faces
+for detector_backend in detector_backends:
+    face_objs = DeepFace.extract_faces(
+        img_path="dataset/img1.jpg", detector_backend=detector_backend
+    )
+    for face_obj in face_objs:
+        face = face_obj["face"]
+        print(detector_backend)
+        plt.imshow(face)
+        plt.axis("off")
+        plt.show()
+        print("-----------")