diff --git a/.github/workflows/unittests.yml b/.github/workflows/unittests.yml
index 384683dd..956c2215 100644
--- a/.github/workflows/unittests.yml
+++ b/.github/workflows/unittests.yml
@@ -32,6 +32,7 @@ jobs:
         run: |
           python -m pip install 'pocketsphinx<5'
           python -m pip install git+https://github.com/openai/whisper.git soundfile
+          python -m pip install openai
           python -m pip install .
       - name: Test with unittest
         run: |
diff --git a/tests/recognizers/test_whisper.py b/tests/recognizers/test_whisper.py
new file mode 100644
index 00000000..f2c8e7fd
--- /dev/null
+++ b/tests/recognizers/test_whisper.py
@@ -0,0 +1,42 @@
+from unittest import TestCase
+from unittest.mock import MagicMock, patch
+
+from speech_recognition import AudioData, Recognizer
+from speech_recognition.recognizers import whisper
+
+
+@patch("speech_recognition.recognizers.whisper.os.environ")
+@patch("speech_recognition.recognizers.whisper.BytesIO")
+@patch("openai.OpenAI")
+class RecognizeWhisperApiTestCase(TestCase):
+    def test_recognize_default_arguments(self, OpenAI, BytesIO, environ):
+        client = OpenAI.return_value
+        transcript = client.audio.transcriptions.create.return_value
+
+        recognizer = MagicMock(spec=Recognizer)
+        audio_data = MagicMock(spec=AudioData)
+
+        actual = whisper.recognize_whisper_api(recognizer, audio_data)
+
+        self.assertEqual(actual, transcript.text)
+        audio_data.get_wav_data.assert_called_once_with()
+        BytesIO.assert_called_once_with(audio_data.get_wav_data.return_value)
+        OpenAI.assert_called_once_with(api_key=None)
+        client.audio.transcriptions.create.assert_called_once_with(
+            file=BytesIO.return_value, model="whisper-1"
+        )
+
+    def test_recognize_pass_arguments(self, OpenAI, BytesIO, environ):
+        client = OpenAI.return_value
+
+        recognizer = MagicMock(spec=Recognizer)
+        audio_data = MagicMock(spec=AudioData)
+
+        actual = whisper.recognize_whisper_api(
+            recognizer, audio_data, model="x-whisper", api_key="OPENAI_API_KEY"
+        )
+
+        OpenAI.assert_called_once_with(api_key="OPENAI_API_KEY")
+        client.audio.transcriptions.create.assert_called_once_with(
+            file=BytesIO.return_value, model="x-whisper"
+        )