diff --git a/frigate/data_processing/real_time/whisper_online.py b/frigate/data_processing/real_time/whisper_online.py
index 9b81d7fbe..024b19fba 100644
--- a/frigate/data_processing/real_time/whisper_online.py
+++ b/frigate/data_processing/real_time/whisper_online.py
@@ -141,6 +141,8 @@ class FasterWhisperASR(ASRBase):
     def transcribe(self, audio, init_prompt=""):
         from faster_whisper import BatchedInferencePipeline
 
+        logging.getLogger("faster_whisper").setLevel(logging.WARNING)
+
         # tested: beam_size=5 is faster and better than 1 (on one 200 second document from En ESIC, min chunk 0.01)
         batched_model = BatchedInferencePipeline(model=self.model)
         segments, info = batched_model.transcribe(