diff --git a/CHANGELOG.md b/CHANGELOG.md
index 9c8c9c4f727866d006c3374d629e7881e94d7d84..d2b4ec2a104783e47dd095de038422128e20c5a4 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -4,6 +4,10 @@ Changelog
 Unreleased
 ----------
 
+### Added
+
+  - Added detection confidence to langauge detection endpoint
+
 [1.6.0] (2024-10-06)
 --------------------
 
diff --git a/app/faster_whisper/core.py b/app/faster_whisper/core.py
index 1d48f2d6106907cc1dcbf5ceada213498aab13d1..c99e04927baa86b1bc50670d706f3cb54b1a898d 100644
--- a/app/faster_whisper/core.py
+++ b/app/faster_whisper/core.py
@@ -70,8 +70,9 @@ def language_detection(audio):
     with model_lock:
         segments, info = model.transcribe(audio, beam_size=5)
         detected_lang_code = info.language
+        detected_language_confidence = info.language_probability
 
-    return detected_lang_code
+    return detected_lang_code, detected_language_confidence
 
 
 def write_result(result: dict, file: BinaryIO, output: Union[str, None]):
diff --git a/app/openai_whisper/core.py b/app/openai_whisper/core.py
index 88bde4f2b20f8a91887d5dbdc7ca049cc58d39d9..6ccee136ef68378645187f0b6bc1ef39a60a1830 100644
--- a/app/openai_whisper/core.py
+++ b/app/openai_whisper/core.py
@@ -55,7 +55,7 @@ def language_detection(audio):
         _, probs = model.detect_language(mel)
     detected_lang_code = max(probs, key=probs.get)
 
-    return detected_lang_code
+    return detected_lang_code, probs[max(probs)]
 
 
 def write_result(result: dict, file: BinaryIO, output: Union[str, None]):
diff --git a/app/webservice.py b/app/webservice.py
index 5391afed997deb7bdf1cb1f918515ea300319a5c..84efa8c0def8bc9396c0e57e869183867938dde1 100644
--- a/app/webservice.py
+++ b/app/webservice.py
@@ -89,8 +89,8 @@ async def detect_language(
     audio_file: UploadFile = File(...),  # noqa: B008
     encode: bool = Query(default=True, description="Encode audio first through FFmpeg"),
 ):
-    detected_lang_code = language_detection(load_audio(audio_file.file, encode))
-    return {"detected_language": tokenizer.LANGUAGES[detected_lang_code], "language_code": detected_lang_code}
+    detected_lang_code, confidence = language_detection(load_audio(audio_file.file, encode))
+    return {"detected_language": tokenizer.LANGUAGES[detected_lang_code], "language_code": detected_lang_code, "confidence": confidence}
 
 
 def load_audio(file: BinaryIO, encode=True, sr: int = SAMPLE_RATE):