diff --git a/subgen/subgen.py b/subgen/subgen.py
index 4d2fd91..f13b504 100644
--- a/subgen/subgen.py
+++ b/subgen/subgen.py
@@ -316,7 +316,7 @@ def asr(
         
         start_time = time.time()
         start_model()
-        files_to_transcribe.insert(0, f"Bazarr-detect-langauge-{random_name}")
+        files_to_transcribe.insert(0, f"Bazarr-detect-language-{random_name}")
         if(hf_transformers):
             result = model.transcribe(np.frombuffer(audio_file.file.read(), np.int16).flatten().astype(np.float32) / 32768.0, task=task, input_sr=16000, language=language, batch_size=hf_batch_size, progress_callback=progress)
         else:
@@ -328,8 +328,8 @@ def asr(
     except Exception as e:
         logging.info(f"Error processing or transcribing Bazarr {audio_file.filename}: {e}")
     finally:
-        if f"Bazarr-detect-langauge-{random_name}" in files_to_transcribe:
-            files_to_transcribe.remove(f"Bazarr-detect-langauge-{random_name}")
+        if f"Bazarr-detect-language-{random_name}" in files_to_transcribe:
+            files_to_transcribe.remove(f"Bazarr-detect-language-{random_name}")
         delete_model()
     if result:
         return StreamingResponse(
@@ -352,7 +352,7 @@ def detect_language(
         random_name = random.choices("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890", k=6)
         start_model()
 
-        files_to_transcribe.insert(0, f"Bazarr-detect-langauge-{random_name}")
+        files_to_transcribe.insert(0, f"Bazarr-detect-language-{random_name}")
         if(hf_transformers):
             detected_lang_code = model.transcribe(whisper.pad_or_trim(np.frombuffer(audio_file.file.read(), np.int16).flatten().astype(np.float32) / 32768.0), input_sr=16000, batch_size=hf_batch_size).language
         else:
@@ -362,8 +362,8 @@ def detect_language(
         logging.info(f"Error processing or transcribing Bazarr {audio_file.filename}: {e}")
         
     finally:
-        if f"Bazarr-detect-langauge-{random_name}" in files_to_transcribe:
-            files_to_transcribe.remove(f"Bazarr-detect-langauge-{random_name}")
+        if f"Bazarr-detect-language-{random_name}" in files_to_transcribe:
+            files_to_transcribe.remove(f"Bazarr-detect-language-{random_name}")
         delete_model()
 
         return {"detected_language": get_lang_pair(whisper_languages, detected_lang_code), "language_code": detected_lang_code}