diff --git a/Makefile b/Makefile
index e8a20d32..185345d3 100644
--- a/Makefile
+++ b/Makefile
@@ -1,5 +1,5 @@
 # Change also in pyproject.toml and buzz/__version__.py
-version := 1.4.3
+version := 1.4.4
 
 mac_app_path := ./dist/Buzz.app
 mac_zip_path := ./dist/Buzz-${version}-mac.zip
diff --git a/buzz/__version__.py b/buzz/__version__.py
index fd870296..8f8e75e9 100644
--- a/buzz/__version__.py
+++ b/buzz/__version__.py
@@ -1 +1 @@
-VERSION = "1.4.3"
+VERSION = "1.4.4"
diff --git a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
index b6498b7b..cdbf52bc 100644
--- a/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
+++ b/buzz/locale/ca_ES/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: buzz\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: 2025-10-17 07:59+0200\n"
 "Last-Translator: Éric Duarte <contacto@ericdq.com>\n"
 "Language-Team: Catalan <jmas@softcatala.org>\n"
@@ -375,6 +375,7 @@ msgid "Model:"
 msgstr "Model:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr ""
 "L'ús per primera vegada d'un model pot trigar diversos minuts a carregar-se."
@@ -676,11 +677,11 @@ msgstr "Selecciona la carpeta d'exportació"
 msgid "Select Background Color"
 msgstr "Selecciona un fitxer d'àudio"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "S'ha produït un error en iniciar un enregistrament nou:"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1036,14 +1037,15 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr "No s'ha pogut desar la clau OpenAI API a l'anell de claus"
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 "El servidor Whisper no s'ha pogut iniciar. Consulteu els registres per "
 "obtenir més informació."
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1417,15 +1419,15 @@ msgstr "Sundanès"
 msgid "Cantonese"
 msgstr "Cantonès"
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr "S'ha produït un error de connexió"
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr "Començant Whisper.cpp..."
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 #, fuzzy
 msgid "Starting transcription..."
 msgstr "Cancel·la la transcripció"
@@ -1510,6 +1512,12 @@ msgstr "Afegeix a sobre"
 msgid "Append and correct"
 msgstr "Afegeix i corregeix"
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+#, fuzzy
+msgid "Translation error, see logs!"
+msgstr "Configuració de la traducció"
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/da_DK/LC_MESSAGES/buzz.po b/buzz/locale/da_DK/LC_MESSAGES/buzz.po
index 7cbf1529..dadfd150 100644
--- a/buzz/locale/da_DK/LC_MESSAGES/buzz.po
+++ b/buzz/locale/da_DK/LC_MESSAGES/buzz.po
@@ -2,7 +2,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: \n"
 "Last-Translator: Ole Guldberg2 <xalt7x.service@gmail.com>\n"
 "Language-Team: \n"
@@ -374,6 +374,7 @@ msgid "Model:"
 msgstr "Model:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr "Først gang kan brug af en model tage flere minutter at indlæse."
 
@@ -673,11 +674,11 @@ msgstr "Vælg eksport-mappe"
 msgid "Select Background Color"
 msgstr "Vælg audio-fil"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "Der skete en fejl ved opstart af en ny optagelse:"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1030,12 +1031,13 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr "Kan ikke gemme OpenAI API-nøgle i nøgleringen"
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1407,15 +1409,15 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr "Der er opstået en forbindelsesfejl"
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 #, fuzzy
 msgid "Starting transcription..."
 msgstr "Afbryd transkription"
@@ -1501,6 +1503,12 @@ msgstr "Tilføj herover"
 msgid "Append and correct"
 msgstr "Tilføj og ret"
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+#, fuzzy
+msgid "Translation error, see logs!"
+msgstr "Oversættelsesindstillinger"
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/de_DE/LC_MESSAGES/buzz.po b/buzz/locale/de_DE/LC_MESSAGES/buzz.po
index d4532a26..d5376bf3 100644
--- a/buzz/locale/de_DE/LC_MESSAGES/buzz.po
+++ b/buzz/locale/de_DE/LC_MESSAGES/buzz.po
@@ -6,7 +6,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: 2025-03-05 14:41+0100\n"
 "Last-Translator: \n"
 "Language-Team: \n"
@@ -374,6 +374,7 @@ msgid "Model:"
 msgstr "Modell:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr ""
 "Bei der ersten Verwendung eines Modells kann das Laden mehrere Minuten "
@@ -674,11 +675,11 @@ msgstr "Exportordner auswählen"
 msgid "Select Background Color"
 msgstr "Audiodatei auswählen"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "Beim Starten einer neuen Aufnahme ist ein Fehler aufgetreten:"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1032,12 +1033,13 @@ msgstr ""
 "Der OpenAI-API-Schlüssel kann nicht im Schlüsselbund gespeichert werden"
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1409,15 +1411,15 @@ msgstr "Sundanesisch"
 msgid "Cantonese"
 msgstr "Kantonesisch"
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr "Ein Verbindungsfehler ist aufgetreten"
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 #, fuzzy
 msgid "Starting transcription..."
 msgstr "Transkription abbrechen"
@@ -1503,6 +1505,12 @@ msgstr "Oben anhängen"
 msgid "Append and correct"
 msgstr "Anhängen und korrigieren"
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+#, fuzzy
+msgid "Translation error, see logs!"
+msgstr "Übersetzungseinstellungen"
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/en_US/LC_MESSAGES/buzz.po b/buzz/locale/en_US/LC_MESSAGES/buzz.po
index d0ccc1eb..d425ef4f 100644
--- a/buzz/locale/en_US/LC_MESSAGES/buzz.po
+++ b/buzz/locale/en_US/LC_MESSAGES/buzz.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: PACKAGE VERSION\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language-Team: LANGUAGE <LL@li.org>\n"
@@ -364,6 +364,7 @@ msgid "Model:"
 msgstr ""
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr ""
 
@@ -653,11 +654,11 @@ msgstr ""
 msgid "Select Background Color"
 msgstr ""
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr ""
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1002,12 +1003,13 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1378,15 +1380,15 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 msgid "Starting transcription..."
 msgstr ""
 
@@ -1470,6 +1472,11 @@ msgstr ""
 msgid "Append and correct"
 msgstr ""
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+msgid "Translation error, see logs!"
+msgstr ""
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/es_ES/LC_MESSAGES/buzz.po b/buzz/locale/es_ES/LC_MESSAGES/buzz.po
index 3d1f1f74..8e982361 100644
--- a/buzz/locale/es_ES/LC_MESSAGES/buzz.po
+++ b/buzz/locale/es_ES/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: 2025-09-08 12:43+0200\n"
 "Last-Translator: Éric Duarte <contacto@ericdq.com>\n"
 "Language-Team: \n"
@@ -387,6 +387,7 @@ msgid "Model:"
 msgstr "Modelo:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr ""
 "El uso por primera vez de un modelo puede tardar varios minutos en cargarse."
@@ -712,12 +713,12 @@ msgid "Select Background Color"
 msgstr "Seleccionar archivo de audio"
 
 # automatic translation
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "Se produjo un error al iniciar una grabación nueva:"
 
 # automatic translation
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1089,14 +1090,15 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr "No se puede guardar la clave de la API de OpenAI en el llavero"
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 "El servidor Whisper no se pudo iniciar. Consulta los registros para obtener "
 "más detalles."
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1471,16 +1473,16 @@ msgstr "Sundanés"
 msgid "Cantonese"
 msgstr "Cantonés"
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr "Se ha producido un error de conexión"
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr "Iniciando Whisper.cpp..."
 
 # automatic translation
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 #, fuzzy
 msgid "Starting transcription..."
 msgstr "Cancelar transcripción"
@@ -1571,6 +1573,12 @@ msgstr "Añadir arriba"
 msgid "Append and correct"
 msgstr "Añadir y corregir"
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+#, fuzzy
+msgid "Translation error, see logs!"
+msgstr "Ajustes de traducción"
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/it_IT/LC_MESSAGES/buzz.po b/buzz/locale/it_IT/LC_MESSAGES/buzz.po
index 0501335a..cdbb6116 100644
--- a/buzz/locale/it_IT/LC_MESSAGES/buzz.po
+++ b/buzz/locale/it_IT/LC_MESSAGES/buzz.po
@@ -6,7 +6,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: buzz\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: 2026-01-25 21:42+0200\n"
 "Language-Team: (Italiano) Albano Battistella <albanobattistella@gmail.com>\n"
 "Language: it_IT\n"
@@ -378,6 +378,7 @@ msgid "Model:"
 msgstr "Modello:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr ""
 "Il caricamento di un modello al primo utilizzo potrebbe richiedere diversi "
@@ -674,11 +675,11 @@ msgstr "Seleziona il colore del testo"
 msgid "Select Background Color"
 msgstr "Seleziona il colore di sfondo"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "Si è verificato un errore durante l'avvio della nuova registrazione:"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1040,13 +1041,14 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr "Impossibile salvare la chiave API OpenAI nel portachiavi"
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 "Impossibile avviare il server Whisper. Controllare i log per i dettagli."
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1420,15 +1422,15 @@ msgstr "Sundanese"
 msgid "Cantonese"
 msgstr "Cantonese"
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr "Si è verificato un errore di connessione"
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr "Avvio di Whisper.cpp..."
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 msgid "Starting transcription..."
 msgstr "Inizio trascrizione..."
 
@@ -1512,6 +1514,12 @@ msgstr "Aggiungere sopra"
 msgid "Append and correct"
 msgstr "Aggiungere e correggere"
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+#, fuzzy
+msgid "Translation error, see logs!"
+msgstr "Impostazioni di traduzione"
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
index 7b9e3597..148ac4f2 100644
--- a/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
+++ b/buzz/locale/ja_JP/LC_MESSAGES/buzz.po
@@ -2,7 +2,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: \n"
 "Last-Translator: nunawa <71294849+nunawa@users.noreply.github.com>\n"
 "Language-Team: \n"
@@ -370,6 +370,7 @@ msgid "Model:"
 msgstr "モデル:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr ""
 
@@ -669,11 +670,11 @@ msgstr "出力フォルダを選択"
 msgid "Select Background Color"
 msgstr "音声ファイルを選択"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "新規録音開始時にエラーが発生しました:"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1025,12 +1026,13 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr "OpenAI API キーをkeyringに保存できません"
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1402,15 +1404,15 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr "接続エラーが発生しました"
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 #, fuzzy
 msgid "Starting transcription..."
 msgstr "文字起こしをキャンセルする"
@@ -1496,6 +1498,12 @@ msgstr ""
 msgid "Append and correct"
 msgstr ""
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+#, fuzzy
+msgid "Translation error, see logs!"
+msgstr "翻訳設定"
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
index 2e801682..bf28ffc4 100644
--- a/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
+++ b/buzz/locale/lv_LV/LC_MESSAGES/buzz.po
@@ -7,8 +7,8 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
-"PO-Revision-Date: 2026-02-06 20:32+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
+"PO-Revision-Date: 2026-02-08 13:58+0200\n"
 "Last-Translator: \n"
 "Language-Team: \n"
 "Language: lv_LV\n"
@@ -380,6 +380,7 @@ msgid "Model:"
 msgstr "Modelis:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr "Pirmā modeļa ielādes reize var aizņemt pat vairākas minūtes."
 
@@ -674,11 +675,11 @@ msgstr "Izvēlieties teksta krāsu"
 msgid "Select Background Color"
 msgstr "Izvēlieties fona krāsu"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "Sākot jaunu ierakstu notikusi kļūda:"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1031,14 +1032,15 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr "Neizdevās saglabāt OpenAI API atslēgu atslēgu saišķī"
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 "Whisper serverim neizdevās ieslēgties. Lūdzu pārbaudiet lietotnes žurnāla "
 "ierakstus."
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1412,15 +1414,15 @@ msgstr "Sundāņu"
 msgid "Cantonese"
 msgstr "Kantonas"
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr "Notika savienojuma kļūda"
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr "Palaiž Whisper.cpp..."
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 msgid "Starting transcription..."
 msgstr "Sāk atpazīšanu..."
 
@@ -1504,6 +1506,11 @@ msgstr "Jaunie teikumi augšā"
 msgid "Append and correct"
 msgstr "Papildināt un labot esošo"
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+msgid "Translation error, see logs!"
+msgstr "Kļūda tulkojot, skatiet sistēmas žurnālu!"
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/nl/LC_MESSAGES/buzz.po b/buzz/locale/nl/LC_MESSAGES/buzz.po
index 23a1ff39..4cd0b875 100644
--- a/buzz/locale/nl/LC_MESSAGES/buzz.po
+++ b/buzz/locale/nl/LC_MESSAGES/buzz.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: 2025-03-20 18:30+0100\n"
 "Last-Translator: Heimen Stoffels <vistausss@fastmail.com>\n"
 "Language-Team: none\n"
@@ -376,6 +376,7 @@ msgid "Model:"
 msgstr "Model:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr ""
 "Let op: de eerste keer kan het enkele minuten duren voordat het model "
@@ -676,11 +677,11 @@ msgstr "Kies een exportmap"
 msgid "Select Background Color"
 msgstr "Kies een audiobestand"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "Er is een fout opgetreden tijdens het starten van de opname:"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1031,12 +1032,13 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr "De OpenAI-api-sleutel kan niet worden bewaard in de sleutelbos"
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1408,15 +1410,15 @@ msgstr "Soedanees"
 msgid "Cantonese"
 msgstr "Kantonees"
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr "Er is een verbindingsfout opgetreden"
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 #, fuzzy
 msgid "Starting transcription..."
 msgstr "Transcriptie wissen"
@@ -1502,6 +1504,12 @@ msgstr "Bovenaan toevoegen"
 msgid "Append and correct"
 msgstr "Toevoegen en corrigeren"
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+#, fuzzy
+msgid "Translation error, see logs!"
+msgstr "Vertaalinstellingen"
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
index d1b969c3..ba033595 100644
--- a/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
+++ b/buzz/locale/pl_PL/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: 2024-03-17 20:50+0200\n"
 "Last-Translator: \n"
 "Language-Team: \n"
@@ -377,6 +377,7 @@ msgid "Model:"
 msgstr "Model:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr ""
 
@@ -681,11 +682,11 @@ msgstr "Wybierz plik audio"
 msgid "Select Background Color"
 msgstr "Wybierz plik audio"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "Wystąpił błąd podczas rozpoczęcia nowego nagrania:"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1043,12 +1044,13 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1421,15 +1423,15 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 #, fuzzy
 msgid "Starting transcription..."
 msgstr "Anuluj transkrypcję"
@@ -1520,6 +1522,11 @@ msgstr ""
 msgid "Append and correct"
 msgstr ""
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+msgid "Translation error, see logs!"
+msgstr ""
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
index 04955f0f..136ac525 100644
--- a/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
+++ b/buzz/locale/pt_BR/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: Buzz\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: 2025-11-01 17:43-0300\n"
 "Last-Translator: Paulo Schopf <pschopf@gmail.com>\n"
 "Language-Team: none\n"
@@ -374,6 +374,7 @@ msgid "Model:"
 msgstr "Modelo:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr "O primeiro uso de um modelo pode levar vários minutos para carregar."
 
@@ -674,11 +675,11 @@ msgstr "Selecionar Pasta de Exportação"
 msgid "Select Background Color"
 msgstr "Selecionar arquivo de áudio"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "Ocorreu um erro ao iniciar uma nova gravação:"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1034,12 +1035,13 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr "Não foi possível salvar a chave da API OpenAI no cofre de chaves"
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr "Falha ao iniciar o servidor Whisper. Verifique os logs."
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1413,15 +1415,15 @@ msgstr "Sundanês"
 msgid "Cantonese"
 msgstr "Cantonês"
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr "Ocorreu um erro de conexão"
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr "Iniciando Whisper.cpp..."
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 #, fuzzy
 msgid "Starting transcription..."
 msgstr "Iniciando transcrição..."
@@ -1506,6 +1508,12 @@ msgstr "Acrescentar acima"
 msgid "Append and correct"
 msgstr "Acrescentar e corrigir"
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+#, fuzzy
+msgid "Translation error, see logs!"
+msgstr "Configurações de tradução"
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
index 20c151a8..cf1b6762 100644
--- a/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
+++ b/buzz/locale/uk_UA/LC_MESSAGES/buzz.po
@@ -2,7 +2,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: \n"
 "Last-Translator: Yevhen Popok <xalt7x.service@gmail.com>\n"
 "Language-Team: \n"
@@ -372,6 +372,7 @@ msgid "Model:"
 msgstr "Модель:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr ""
 
@@ -671,11 +672,11 @@ msgstr "Виберіть теку для експорту"
 msgid "Select Background Color"
 msgstr "Вибрати аудіофайл"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "При старті нового запису виникла помилка:"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1027,12 +1028,13 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr "Не вдається додати до звʼязки ключів API-ключ OpenAI"
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1404,15 +1406,15 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr "Виникла помилка зʼєднання"
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 #, fuzzy
 msgid "Starting transcription..."
 msgstr "Скасувати транскрипцію"
@@ -1498,6 +1500,12 @@ msgstr ""
 msgid "Append and correct"
 msgstr ""
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+#, fuzzy
+msgid "Translation error, see logs!"
+msgstr "Налаштування перекладу"
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
index d401bf20..7d5f52d8 100644
--- a/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
+++ b/buzz/locale/zh_CN/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: 2023-05-01 15:45+0800\n"
 "Last-Translator: \n"
 "Language-Team: lamb \n"
@@ -380,6 +380,7 @@ msgid "Model:"
 msgstr "模型:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr "首次使用模型可能需要几分钟的时间才能加载"
 
@@ -684,11 +685,11 @@ msgstr "选择输出文件夹"
 msgid "Select Background Color"
 msgstr "选择音频文件"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "开始新录制时出错"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1043,12 +1044,13 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr "无法将OpenAI API密钥保存到密钥串"
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1421,15 +1423,15 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr "连接发生错误"
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 #, fuzzy
 msgid "Starting transcription..."
 msgstr "取消识别"
@@ -1520,6 +1522,12 @@ msgstr "增加上方"
 msgid "Append and correct"
 msgstr "增加并纠正"
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+#, fuzzy
+msgid "Translation error, see logs!"
+msgstr "翻译设置"
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
index 5e586d24..ac2ae1c9 100644
--- a/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
+++ b/buzz/locale/zh_TW/LC_MESSAGES/buzz.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: \n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-02-06 20:31+0200\n"
+"POT-Creation-Date: 2026-02-08 13:57+0200\n"
 "PO-Revision-Date: 2023-05-01 15:45+0800\n"
 "Last-Translator: \n"
 "Language-Team: Lamb\n"
@@ -375,6 +375,7 @@ msgid "Model:"
 msgstr "模型:"
 
 #: buzz/widgets/transcriber/transcription_options_group_box.py:113
+#: buzz/transcriber/recording_transcriber.py:374
 msgid "First time use of a model may take up to several minutest to load."
 msgstr ""
 
@@ -677,11 +678,11 @@ msgstr "選擇聲音檔案"
 msgid "Select Background Color"
 msgstr "選擇聲音檔案"
 
-#: buzz/widgets/recording_transcriber_widget.py:836
+#: buzz/widgets/recording_transcriber_widget.py:854
 msgid "An error occurred while starting a new recording:"
 msgstr "開始新錄製出錯"
 
-#: buzz/widgets/recording_transcriber_widget.py:840
+#: buzz/widgets/recording_transcriber_widget.py:858
 msgid ""
 "Please check your audio devices or check the application logs for more "
 "information."
@@ -1035,12 +1036,13 @@ msgid "Unable to save OpenAI API key to keyring"
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:57
-#: buzz/transcriber/recording_transcriber.py:430
+#: buzz/transcriber/recording_transcriber.py:100
+#: buzz/transcriber/recording_transcriber.py:445
 msgid "Whisper server failed to start. Check logs for details."
 msgstr ""
 
 #: buzz/transcriber/local_whisper_cpp_server_transcriber.py:60
-#: buzz/transcriber/recording_transcriber.py:434
+#: buzz/transcriber/recording_transcriber.py:449
 msgid ""
 "Whisper server failed to start due to insufficient memory. Please try again "
 "with a smaller model. To force CPU mode use BUZZ_FORCE_CPU=TRUE environment "
@@ -1413,15 +1415,15 @@ msgstr ""
 msgid "Cantonese"
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:247 buzz/model_loader.py:793
+#: buzz/transcriber/recording_transcriber.py:254 buzz/model_loader.py:793
 msgid "A connection error occurred"
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:361
+#: buzz/transcriber/recording_transcriber.py:371
 msgid "Starting Whisper.cpp..."
 msgstr ""
 
-#: buzz/transcriber/recording_transcriber.py:421
+#: buzz/transcriber/recording_transcriber.py:436
 #, fuzzy
 msgid "Starting transcription..."
 msgstr "取消錄製"
@@ -1512,6 +1514,11 @@ msgstr ""
 msgid "Append and correct"
 msgstr ""
 
+#: buzz/translator.py:79 buzz/translator.py:112 buzz/translator.py:124
+#: buzz/translator.py:140
+msgid "Translation error, see logs!"
+msgstr ""
+
 #: buzz/file_transcriber_queue_worker.py:154
 msgid ""
 "Speech extraction failed! Check your internet connection — a model may need "
diff --git a/buzz/translator.py b/buzz/translator.py
index ffeecf7b..0a16bd72 100644
--- a/buzz/translator.py
+++ b/buzz/translator.py
@@ -1,17 +1,22 @@
 import os
+import re
 import logging
 import queue
 
-from typing import Optional
+from typing import Optional, List, Tuple
 from openai import OpenAI, max_retries
 from PyQt6.QtCore import QObject, pyqtSignal
 
+from buzz.locale import _
 from buzz.settings.settings import Settings
 from buzz.store.keyring_store import get_password, Key
 from buzz.transcriber.transcriber import TranscriptionOptions
 from buzz.widgets.transcriber.advanced_settings_dialog import AdvancedSettingsDialog
 
 
+BATCH_SIZE = 10
+
+
 class Translator(QObject):
     translation = pyqtSignal(str, int)
     finished = pyqtSignal()
@@ -51,6 +56,91 @@ class Translator(QObject):
             max_retries=0
         )
 
+    def _translate_single(self, transcript: str, transcript_id: int) -> Tuple[str, int]:
+        """Translate a single transcript via the API. Returns (translation, transcript_id)."""
+        try:
+            completion = self.openai_client.chat.completions.create(
+                model=self.transcription_options.llm_model,
+                messages=[
+                    {"role": "system", "content": self.transcription_options.llm_prompt},
+                    {"role": "user", "content": transcript}
+                ],
+                timeout=60.0,
+            )
+        except Exception as e:
+            completion = None
+            logging.error(f"Translation error! Server response: {e}")
+
+        if completion and completion.choices and completion.choices[0].message:
+            logging.debug(f"Received translation response: {completion}")
+            return completion.choices[0].message.content, transcript_id
+        else:
+            logging.error(f"Translation error! Server response: {completion}")
+            return _("Translation error, see logs!"), transcript_id
+
+    def _translate_batch(self, items: List[Tuple[str, int]]) -> List[Tuple[str, int]]:
+        """Translate multiple transcripts in a single API call.
+        Returns list of (translation, transcript_id) in the same order as input."""
+        numbered_parts = []
+        for i, (transcript, _) in enumerate(items, 1):
+            numbered_parts.append(f"[{i}] {transcript}")
+        combined = "\n".join(numbered_parts)
+
+        batch_prompt = (
+            f"{self.transcription_options.llm_prompt}\n\n"
+            f"You will receive {len(items)} numbered texts. "
+            f"Process each one separately according to the instruction above "
+            f"and return them in the exact same numbered format, e.g.:\n"
+            f"[1] processed text\n[2] processed text"
+        )
+
+        try:
+            completion = self.openai_client.chat.completions.create(
+                model=self.transcription_options.llm_model,
+                messages=[
+                    {"role": "system", "content": batch_prompt},
+                    {"role": "user", "content": combined}
+                ],
+                timeout=60.0,
+            )
+        except Exception as e:
+            completion = None
+            logging.error(f"Batch translation error! Server response: {e}")
+
+        if not (completion and completion.choices and completion.choices[0].message):
+            logging.error(f"Batch translation error! Server response: {completion}")
+            return [(_("Translation error, see logs!"), tid) for _, tid in items]
+
+        response_text = completion.choices[0].message.content
+        logging.debug(f"Received batch translation response: {response_text}")
+
+        translations = self._parse_batch_response(response_text, len(items))
+
+        results = []
+        for i, (_, transcript_id) in enumerate(items):
+            if i < len(translations):
+                results.append((translations[i], transcript_id))
+            else:
+                results.append((_("Translation error, see logs!"), transcript_id))
+        return results
+
+    @staticmethod
+    def _parse_batch_response(response: str, expected_count: int) -> List[str]:
+        """Parse a numbered batch response like '[1] text\\n[2] text' into a list of strings."""
+        # Split on [N] markers — re.split with a group returns: [before, group1, after1, group2, after2, ...]
+        parts = re.split(r'\[(\d+)\]\s*', response)
+
+        translations = {}
+        for i in range(1, len(parts) - 1, 2):
+            num = int(parts[i])
+            text = parts[i + 1].strip()
+            translations[num] = text
+
+        return [
+            translations.get(i, _("Translation error, see logs!"))
+            for i in range(1, expected_count + 1)
+        ]
+
     def start(self):
         logging.debug("Starting translation queue")
 
@@ -62,30 +152,32 @@ class Translator(QObject):
                 logging.debug("Translation queue received stop signal")
                 break
 
-            transcript, transcript_id = item
+            # Collect a batch: start with the first item, then drain more
+            batch = [item]
+            stop_after_batch = False
+            while len(batch) < BATCH_SIZE:
+                try:
+                    next_item = self.queue.get_nowait()
+                    if next_item is None:
+                        stop_after_batch = True
+                        break
+                    batch.append(next_item)
+                except queue.Empty:
+                    break
 
-            try:
-                completion = self.openai_client.chat.completions.create(
-                    model=self.transcription_options.llm_model,
-                    messages=[
-                        {"role": "system", "content": self.transcription_options.llm_prompt},
-                        {"role": "user", "content": transcript}
-                    ],
-                    timeout=30.0,
-
-                )
-            except Exception as e:
-                completion = None
-                logging.error(f"Translation error! Server response: {e}")
-
-            if completion and completion.choices and completion.choices[0].message:
-                logging.debug(f"Received translation response: {completion}")
-                next_translation = completion.choices[0].message.content
+            if len(batch) == 1:
+                transcript, transcript_id = batch[0]
+                translation, tid = self._translate_single(transcript, transcript_id)
+                self.translation.emit(translation, tid)
             else:
-                logging.error(f"Translation error! Server response: {completion}")
-                next_translation = "Translation error, see logs!"
+                logging.debug(f"Translating batch of {len(batch)} in single request")
+                results = self._translate_batch(batch)
+                for translation, tid in results:
+                    self.translation.emit(translation, tid)
 
-            self.translation.emit(next_translation, transcript_id)
+            if stop_after_batch:
+                logging.debug("Translation queue received stop signal")
+                break
 
         logging.debug("Translation queue stopped")
         self.finished.emit()
diff --git a/pyproject.toml b/pyproject.toml
index 8f26e4ed..7e0fc933 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "buzz-captions"
 # Change also in Makefile and buzz/__version__.py
-version = "1.4.3"
+version = "1.4.4"
 description = ""
 authors = [{ name = "Chidi Williams", email = "williamschidi1@gmail.com" }]
 requires-python = ">=3.12,<3.13"
diff --git a/tests/model_loader_test.py b/tests/model_loader_test.py
index d1c9d638..e6cee71a 100644
--- a/tests/model_loader_test.py
+++ b/tests/model_loader_test.py
@@ -1,7 +1,18 @@
 import os
 import pytest
+from unittest.mock import patch
 
-from buzz.model_loader import ModelDownloader,TranscriptionModel, ModelType, WhisperModelSize
+from buzz.model_loader import (
+    ModelDownloader,
+    TranscriptionModel,
+    ModelType,
+    WhisperModelSize,
+    map_language_to_mms,
+    is_mms_model,
+    get_expected_whisper_model_size,
+    get_whisper_file_path,
+    WHISPER_MODEL_SIZES,
+)
 
 
 class TestModelLoader:
@@ -23,3 +34,174 @@ class TestModelLoader:
         assert model_path is not None, "Model path is None"
         assert os.path.isdir(model_path), "Model path is not a directory"
         assert len(os.listdir(model_path)) > 0, "Model directory is empty"
+
+
+class TestMapLanguageToMms:
+    def test_empty_returns_english(self):
+        assert map_language_to_mms("") == "eng"
+
+    def test_two_letter_known_code(self):
+        assert map_language_to_mms("en") == "eng"
+        assert map_language_to_mms("fr") == "fra"
+        assert map_language_to_mms("lv") == "lav"
+
+    def test_three_letter_code_returned_as_is(self):
+        assert map_language_to_mms("eng") == "eng"
+        assert map_language_to_mms("fra") == "fra"
+
+    def test_unknown_two_letter_code_returned_as_is(self):
+        assert map_language_to_mms("xx") == "xx"
+
+    @pytest.mark.parametrize(
+        "code,expected",
+        [
+            ("de", "deu"),
+            ("es", "spa"),
+            ("ja", "jpn"),
+            ("zh", "cmn"),
+            ("ar", "ara"),
+        ],
+    )
+    def test_various_language_codes(self, code, expected):
+        assert map_language_to_mms(code) == expected
+
+
+class TestIsMmsModel:
+    def test_empty_string(self):
+        assert is_mms_model("") is False
+
+    def test_mms_in_model_id(self):
+        assert is_mms_model("facebook/mms-1b-all") is True
+
+    def test_mms_case_insensitive(self):
+        assert is_mms_model("facebook/MMS-1b-all") is True
+
+    def test_non_mms_model(self):
+        assert is_mms_model("openai/whisper-tiny") is False
+
+
+class TestWhisperModelSize:
+    def test_to_faster_whisper_model_size_large(self):
+        assert WhisperModelSize.LARGE.to_faster_whisper_model_size() == "large-v1"
+
+    def test_to_faster_whisper_model_size_tiny(self):
+        assert WhisperModelSize.TINY.to_faster_whisper_model_size() == "tiny"
+
+    def test_to_faster_whisper_model_size_largev3(self):
+        assert WhisperModelSize.LARGEV3.to_faster_whisper_model_size() == "large-v3"
+
+    def test_to_whisper_cpp_model_size_large(self):
+        assert WhisperModelSize.LARGE.to_whisper_cpp_model_size() == "large-v1"
+
+    def test_to_whisper_cpp_model_size_tiny(self):
+        assert WhisperModelSize.TINY.to_whisper_cpp_model_size() == "tiny"
+
+    def test_str(self):
+        assert str(WhisperModelSize.TINY) == "Tiny"
+        assert str(WhisperModelSize.LARGE) == "Large"
+        assert str(WhisperModelSize.LARGEV3TURBO) == "Large-v3-turbo"
+        assert str(WhisperModelSize.CUSTOM) == "Custom"
+
+
+class TestModelType:
+    def test_supports_initial_prompt(self):
+        assert ModelType.WHISPER.supports_initial_prompt is True
+        assert ModelType.WHISPER_CPP.supports_initial_prompt is True
+        assert ModelType.OPEN_AI_WHISPER_API.supports_initial_prompt is True
+        assert ModelType.FASTER_WHISPER.supports_initial_prompt is True
+        assert ModelType.HUGGING_FACE.supports_initial_prompt is False
+
+    @pytest.mark.parametrize(
+        "platform_system,platform_machine,expected_faster_whisper",
+        [
+            ("Linux", "x86_64", True),
+            ("Windows", "AMD64", True),
+            ("Darwin", "arm64", True),
+            ("Darwin", "x86_64", False),  # Faster Whisper not available on macOS x86_64
+        ],
+    )
+    def test_is_available(self, platform_system, platform_machine, expected_faster_whisper):
+        with patch("platform.system", return_value=platform_system), \
+             patch("platform.machine", return_value=platform_machine):
+            # These should always be available
+            assert ModelType.WHISPER.is_available() is True
+            assert ModelType.HUGGING_FACE.is_available() is True
+            assert ModelType.OPEN_AI_WHISPER_API.is_available() is True
+            assert ModelType.WHISPER_CPP.is_available() is True
+
+            # Faster Whisper depends on platform
+            assert ModelType.FASTER_WHISPER.is_available() == expected_faster_whisper
+
+    def test_is_manually_downloadable(self):
+        assert ModelType.WHISPER.is_manually_downloadable() is True
+        assert ModelType.WHISPER_CPP.is_manually_downloadable() is True
+        assert ModelType.FASTER_WHISPER.is_manually_downloadable() is True
+        assert ModelType.HUGGING_FACE.is_manually_downloadable() is False
+        assert ModelType.OPEN_AI_WHISPER_API.is_manually_downloadable() is False
+
+
+class TestTranscriptionModel:
+    def test_str_whisper(self):
+        model = TranscriptionModel(
+            model_type=ModelType.WHISPER, whisper_model_size=WhisperModelSize.TINY
+        )
+        assert str(model) == "Whisper (Tiny)"
+
+    def test_str_whisper_cpp(self):
+        model = TranscriptionModel(
+            model_type=ModelType.WHISPER_CPP, whisper_model_size=WhisperModelSize.BASE
+        )
+        assert str(model) == "Whisper.cpp (Base)"
+
+    def test_str_hugging_face(self):
+        model = TranscriptionModel(
+            model_type=ModelType.HUGGING_FACE,
+            hugging_face_model_id="openai/whisper-tiny",
+        )
+        assert str(model) == "Hugging Face (openai/whisper-tiny)"
+
+    def test_str_faster_whisper(self):
+        model = TranscriptionModel(
+            model_type=ModelType.FASTER_WHISPER,
+            whisper_model_size=WhisperModelSize.SMALL,
+        )
+        assert str(model) == "Faster Whisper (Small)"
+
+    def test_str_openai_api(self):
+        model = TranscriptionModel(model_type=ModelType.OPEN_AI_WHISPER_API)
+        assert str(model) == "OpenAI Whisper API"
+
+    def test_default(self):
+        model = TranscriptionModel.default()
+        assert model.model_type in list(ModelType)
+        assert model.model_type.is_available() is True
+
+    def test_get_local_model_path_openai_api(self):
+        model = TranscriptionModel(model_type=ModelType.OPEN_AI_WHISPER_API)
+        assert model.get_local_model_path() == ""
+
+
+class TestGetExpectedWhisperModelSize:
+    def test_known_sizes(self):
+        assert get_expected_whisper_model_size(WhisperModelSize.TINY) == 72 * 1024 * 1024
+        assert get_expected_whisper_model_size(WhisperModelSize.LARGE) == 2870 * 1024 * 1024
+
+    def test_unknown_size_returns_none(self):
+        assert get_expected_whisper_model_size(WhisperModelSize.CUSTOM) is None
+        assert get_expected_whisper_model_size(WhisperModelSize.LUMII) is None
+
+    def test_all_defined_sizes_have_values(self):
+        for size in WHISPER_MODEL_SIZES:
+            assert WHISPER_MODEL_SIZES[size] > 0
+
+
+class TestGetWhisperFilePath:
+    def test_custom_size(self):
+        path = get_whisper_file_path(WhisperModelSize.CUSTOM)
+        assert path.endswith("custom")
+        assert "whisper" in path
+
+    def test_tiny_size(self):
+        path = get_whisper_file_path(WhisperModelSize.TINY)
+        assert "whisper" in path
+        assert path.endswith(".pt")
diff --git a/tests/transcriber/file_transcriber_queue_worker_test.py b/tests/transcriber/file_transcriber_queue_worker_test.py
index e48bccb9..323109c8 100644
--- a/tests/transcriber/file_transcriber_queue_worker_test.py
+++ b/tests/transcriber/file_transcriber_queue_worker_test.py
@@ -1,9 +1,10 @@
 import pytest
 import unittest.mock
+import uuid
 from PyQt6.QtCore import QCoreApplication, QThread
 from buzz.file_transcriber_queue_worker import FileTranscriberQueueWorker
 from buzz.model_loader import ModelType, TranscriptionModel, WhisperModelSize
-from buzz.transcriber.transcriber import FileTranscriptionTask, TranscriptionOptions, FileTranscriptionOptions
+from buzz.transcriber.transcriber import FileTranscriptionTask, TranscriptionOptions, FileTranscriptionOptions, Segment
 from buzz.transcriber.whisper_file_transcriber import WhisperFileTranscriber
 from tests.audio import test_multibyte_utf8_audio_path
 import time
@@ -31,6 +32,106 @@ def worker(qapp):
     thread.wait()
 
 
+@pytest.fixture
+def simple_worker(qapp):
+    """A non-threaded worker for unit tests that only test individual methods."""
+    worker = FileTranscriberQueueWorker()
+    yield worker
+
+
+class TestFileTranscriberQueueWorker:
+    def test_cancel_task_adds_to_canceled_set(self, simple_worker):
+        task_id = uuid.uuid4()
+        simple_worker.cancel_task(task_id)
+        assert task_id in simple_worker.canceled_tasks
+
+    def test_add_task_removes_from_canceled(self, simple_worker):
+        options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP, whisper_model_size=WhisperModelSize.TINY),
+            extract_speech=False
+        )
+        task = FileTranscriptionTask(
+            file_path=str(test_multibyte_utf8_audio_path),
+            transcription_options=options,
+            file_transcription_options=FileTranscriptionOptions(),
+            model_path="mock_path"
+        )
+
+        # First cancel it
+        simple_worker.cancel_task(task.uid)
+        assert task.uid in simple_worker.canceled_tasks
+
+        # Prevent trigger_run from starting the run loop
+        simple_worker.is_running = True
+        # Then add it back
+        simple_worker.add_task(task)
+        assert task.uid not in simple_worker.canceled_tasks
+
+    def test_on_task_error_with_cancellation(self, simple_worker):
+        options = TranscriptionOptions()
+        task = FileTranscriptionTask(
+            file_path=str(test_multibyte_utf8_audio_path),
+            transcription_options=options,
+            file_transcription_options=FileTranscriptionOptions(),
+            model_path="mock_path"
+        )
+        simple_worker.current_task = task
+
+        error_spy = unittest.mock.Mock()
+        simple_worker.task_error.connect(error_spy)
+
+        simple_worker.on_task_error("Transcription was canceled")
+
+        error_spy.assert_called_once()
+        assert task.status == FileTranscriptionTask.Status.CANCELED
+        assert "canceled" in task.error.lower()
+
+    def test_on_task_error_with_regular_error(self, simple_worker):
+        options = TranscriptionOptions()
+        task = FileTranscriptionTask(
+            file_path=str(test_multibyte_utf8_audio_path),
+            transcription_options=options,
+            file_transcription_options=FileTranscriptionOptions(),
+            model_path="mock_path"
+        )
+        simple_worker.current_task = task
+
+        error_spy = unittest.mock.Mock()
+        simple_worker.task_error.connect(error_spy)
+
+        simple_worker.on_task_error("Some error occurred")
+
+        error_spy.assert_called_once()
+        assert task.status == FileTranscriptionTask.Status.FAILED
+        assert task.error == "Some error occurred"
+
+    def test_on_task_progress_conversion(self, simple_worker):
+        options = TranscriptionOptions()
+        task = FileTranscriptionTask(
+            file_path=str(test_multibyte_utf8_audio_path),
+            transcription_options=options,
+            file_transcription_options=FileTranscriptionOptions(),
+            model_path="mock_path"
+        )
+        simple_worker.current_task = task
+
+        progress_spy = unittest.mock.Mock()
+        simple_worker.task_progress.connect(progress_spy)
+
+        simple_worker.on_task_progress((50, 100))
+
+        progress_spy.assert_called_once()
+        args = progress_spy.call_args[0]
+        assert args[0] == task
+        assert args[1] == 0.5
+
+    def test_stop_puts_sentinel_in_queue(self, simple_worker):
+        initial_size = simple_worker.tasks_queue.qsize()
+        simple_worker.stop()
+        # Sentinel (None) should be added to queue
+        assert simple_worker.tasks_queue.qsize() == initial_size + 1
+
+
 def test_transcription_with_whisper_cpp_tiny_no_speech_extraction(worker):
     options = TranscriptionOptions(
         model=TranscriptionModel(model_type=ModelType.WHISPER_CPP, whisper_model_size=WhisperModelSize.TINY),
diff --git a/tests/transcriber/openai_whisper_api_file_transcriber_test.py b/tests/transcriber/openai_whisper_api_file_transcriber_test.py
index 187ef1fe..44168466 100644
--- a/tests/transcriber/openai_whisper_api_file_transcriber_test.py
+++ b/tests/transcriber/openai_whisper_api_file_transcriber_test.py
@@ -5,16 +5,78 @@ import pytest
 
 from buzz.transcriber.openai_whisper_api_file_transcriber import (
     OpenAIWhisperAPIFileTranscriber,
+    append_segment,
 )
 from buzz.transcriber.transcriber import (
     FileTranscriptionTask,
     TranscriptionOptions,
     FileTranscriptionOptions,
+    Segment,
 )
 
 from openai.types.audio import Transcription, Translation
 
 
+class TestAppendSegment:
+    def test_valid_utf8(self):
+        result = []
+        success = append_segment(result, b"Hello world", 100, 200)
+        assert success is True
+        assert len(result) == 1
+        assert result[0].start == 1000  # 100 centiseconds to ms
+        assert result[0].end == 2000    # 200 centiseconds to ms
+        assert result[0].text == "Hello world"
+
+    def test_empty_bytes(self):
+        result = []
+        success = append_segment(result, b"", 100, 200)
+        assert success is True
+        assert len(result) == 0
+
+    def test_invalid_utf8(self):
+        result = []
+        # Invalid UTF-8 sequence
+        success = append_segment(result, b"\xff\xfe", 100, 200)
+        assert success is False
+        assert len(result) == 0
+
+    def test_multibyte_utf8(self):
+        result = []
+        success = append_segment(result, "Привет".encode("utf-8"), 50, 150)
+        assert success is True
+        assert len(result) == 1
+        assert result[0].text == "Привет"
+
+
+class TestGetValue:
+    def test_get_value_from_dict(self):
+        obj = {"key": "value", "number": 42}
+        assert OpenAIWhisperAPIFileTranscriber.get_value(obj, "key") == "value"
+        assert OpenAIWhisperAPIFileTranscriber.get_value(obj, "number") == 42
+
+    def test_get_value_from_object(self):
+        class TestObj:
+            key = "value"
+            number = 42
+
+        obj = TestObj()
+        assert OpenAIWhisperAPIFileTranscriber.get_value(obj, "key") == "value"
+        assert OpenAIWhisperAPIFileTranscriber.get_value(obj, "number") == 42
+
+    def test_get_value_missing_key_dict(self):
+        obj = {"key": "value"}
+        assert OpenAIWhisperAPIFileTranscriber.get_value(obj, "missing") is None
+        assert OpenAIWhisperAPIFileTranscriber.get_value(obj, "missing", "default") == "default"
+
+    def test_get_value_missing_attribute_object(self):
+        class TestObj:
+            key = "value"
+
+        obj = TestObj()
+        assert OpenAIWhisperAPIFileTranscriber.get_value(obj, "missing") is None
+        assert OpenAIWhisperAPIFileTranscriber.get_value(obj, "missing", "default") == "default"
+
+
 class TestOpenAIWhisperAPIFileTranscriber:
     @pytest.fixture
     def mock_openai_client(self):
diff --git a/tests/transcriber/recording_transcriber_test.py b/tests/transcriber/recording_transcriber_test.py
index b0c06a72..fde018f1 100644
--- a/tests/transcriber/recording_transcriber_test.py
+++ b/tests/transcriber/recording_transcriber_test.py
@@ -1,7 +1,8 @@
 import os
 import sys
 import time
-from unittest.mock import Mock, patch
+import numpy as np
+from unittest.mock import Mock, patch, MagicMock
 
 from PyQt6.QtCore import QThread
 
@@ -10,10 +11,72 @@ from buzz.assets import APP_BASE_DIR
 from buzz.model_loader import TranscriptionModel, ModelType, WhisperModelSize
 from buzz.transcriber.recording_transcriber import RecordingTranscriber
 from buzz.transcriber.transcriber import TranscriptionOptions, Task
+from buzz.settings.recording_transcriber_mode import RecordingTranscriberMode
 from tests.mock_sounddevice import MockSoundDevice
 from tests.model_loader import get_model_path
 
 
+class TestAmplitude:
+    def test_symmetric_array(self):
+        arr = np.array([1.0, -1.0, 2.0, -2.0])
+        amplitude = RecordingTranscriber.amplitude(arr)
+        assert amplitude == 2.0
+
+    def test_asymmetric_array(self):
+        arr = np.array([1.0, 2.0, 3.0, -1.0])
+        amplitude = RecordingTranscriber.amplitude(arr)
+        # (abs(3.0) + abs(-1.0)) / 2 = (3.0 + 1.0) / 2 = 2.0
+        assert amplitude == 2.0
+
+    def test_all_zeros(self):
+        arr = np.array([0.0, 0.0, 0.0])
+        amplitude = RecordingTranscriber.amplitude(arr)
+        assert amplitude == 0.0
+
+    def test_all_positive(self):
+        arr = np.array([1.0, 2.0, 3.0, 4.0])
+        amplitude = RecordingTranscriber.amplitude(arr)
+        # (abs(4.0) + abs(1.0)) / 2 = (4.0 + 1.0) / 2 = 2.5
+        assert amplitude == 2.5
+
+    def test_all_negative(self):
+        arr = np.array([-1.0, -2.0, -3.0, -4.0])
+        amplitude = RecordingTranscriber.amplitude(arr)
+        # (abs(-1.0) + abs(-4.0)) / 2 = (1.0 + 4.0) / 2 = 2.5
+        assert amplitude == 2.5
+
+
+class TestGetDeviceSampleRate:
+    def test_returns_default_16khz_when_supported(self):
+        with patch("sounddevice.check_input_settings"):
+            rate = RecordingTranscriber.get_device_sample_rate(None)
+            assert rate == 16000
+
+    def test_falls_back_to_device_default(self):
+        import sounddevice
+        from sounddevice import PortAudioError
+
+        def raise_error(*args, **kwargs):
+            raise PortAudioError("Device doesn't support 16000")
+
+        device_info = {"default_samplerate": 44100}
+        with patch("sounddevice.check_input_settings", side_effect=raise_error), \
+             patch("sounddevice.query_devices", return_value=device_info):
+            rate = RecordingTranscriber.get_device_sample_rate(0)
+            assert rate == 44100
+
+    def test_returns_default_when_query_fails(self):
+        from sounddevice import PortAudioError
+
+        def raise_error(*args, **kwargs):
+            raise PortAudioError("Device doesn't support 16000")
+
+        with patch("sounddevice.check_input_settings", side_effect=raise_error), \
+             patch("sounddevice.query_devices", return_value=None):
+            rate = RecordingTranscriber.get_device_sample_rate(0)
+            assert rate == 16000
+
+
 class TestRecordingTranscriber:
 
     def test_should_transcribe(self, qtbot):
@@ -63,4 +126,400 @@ class TestRecordingTranscriber:
 
             thread.quit()
             thread.wait()
-            time.sleep(3)
+
+            # Ensure process is cleaned up
+            if transcriber.process and transcriber.process.poll() is None:
+                transcriber.process.terminate()
+                try:
+                    transcriber.process.wait(timeout=2)
+                except:
+                    pass
+
+            # Process pending events to ensure cleanup
+            from PyQt6.QtCore import QCoreApplication
+            QCoreApplication.processEvents()
+            time.sleep(0.1)
+
+
+class TestRecordingTranscriberInit:
+    def test_init_default_mode(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="en",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"):
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            assert transcriber.transcription_options == transcription_options
+            assert transcriber.input_device_index == 0
+            assert transcriber.sample_rate == 16000
+            assert transcriber.model_path == "/fake/path"
+            assert transcriber.n_batch_samples == 5 * 16000
+            assert transcriber.keep_sample_seconds == 0.15
+            assert transcriber.is_running is False
+            assert transcriber.openai_client is None
+
+    def test_init_append_and_correct_mode(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="en",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"), \
+             patch("buzz.transcriber.recording_transcriber.Settings") as mock_settings_class:
+            # Mock settings to return APPEND_AND_CORRECT mode (index 2 in the enum)
+            mock_settings_instance = MagicMock()
+            mock_settings_class.return_value = mock_settings_instance
+            # Return 2 for APPEND_AND_CORRECT mode (it's the third item in the enum)
+            mock_settings_instance.value.return_value = 2
+
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            # APPEND_AND_CORRECT mode should use smaller batch size and longer keep duration
+            assert transcriber.n_batch_samples == 3 * 16000
+            assert transcriber.keep_sample_seconds == 1.5
+
+    def test_init_uses_default_sample_rate_when_none(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="en",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"):
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=None,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            # Should use default whisper sample rate
+            assert transcriber.sample_rate == 16000
+
+
+class TestStreamCallback:
+    def test_stream_callback_adds_to_queue(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="en",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"):
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            # Create test audio data
+            in_data = np.array([[0.1], [0.2], [0.3], [0.4]], dtype=np.float32)
+
+            initial_size = transcriber.queue.size
+            transcriber.stream_callback(in_data, 4, None, None)
+
+            # Queue should have grown by 4 samples
+            assert transcriber.queue.size == initial_size + 4
+
+    def test_stream_callback_emits_amplitude_changed(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="en",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"):
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            # Mock the amplitude_changed signal
+            amplitude_values = []
+            transcriber.amplitude_changed.connect(lambda amp: amplitude_values.append(amp))
+
+            # Create test audio data
+            in_data = np.array([[0.1], [0.2], [0.3], [0.4]], dtype=np.float32)
+            transcriber.stream_callback(in_data, 4, None, None)
+
+            # Should have emitted one amplitude value
+            assert len(amplitude_values) == 1
+            assert amplitude_values[0] > 0
+
+    def test_stream_callback_drops_data_when_queue_full(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="en",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"):
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            # Fill the queue beyond max_queue_size
+            transcriber.queue = np.ones(transcriber.max_queue_size, dtype=np.float32)
+            initial_size = transcriber.queue.size
+
+            # Try to add more data
+            in_data = np.array([[0.1], [0.2]], dtype=np.float32)
+            transcriber.stream_callback(in_data, 2, None, None)
+
+            # Queue should not have grown (data was dropped)
+            assert transcriber.queue.size == initial_size
+
+
+class TestStopRecording:
+    def test_stop_recording_sets_is_running_false(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="en",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"):
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            transcriber.is_running = True
+            transcriber.stop_recording()
+
+            assert transcriber.is_running is False
+
+    def test_stop_recording_terminates_process(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="en",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"):
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            # Mock a running process
+            mock_process = MagicMock()
+            mock_process.poll.return_value = None  # Process is running
+            transcriber.process = mock_process
+
+            transcriber.stop_recording()
+
+            # Process should have been terminated and waited
+            mock_process.terminate.assert_called_once()
+            mock_process.wait.assert_called_once_with(timeout=5)
+
+    def test_stop_recording_skips_terminated_process(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="en",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"):
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            # Mock an already terminated process
+            mock_process = MagicMock()
+            mock_process.poll.return_value = 0  # Process already terminated
+            transcriber.process = mock_process
+
+            transcriber.stop_recording()
+
+            # terminate and wait should not be called
+            mock_process.terminate.assert_not_called()
+            mock_process.wait.assert_not_called()
+
+
+class TestStartLocalWhisperServer:
+    def test_start_local_whisper_server_creates_openai_client(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="en",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"), \
+             patch("subprocess.Popen") as mock_popen, \
+             patch("time.sleep"):
+
+            # Mock a successful process
+            mock_process = MagicMock()
+            mock_process.poll.return_value = None  # Process is running
+            mock_popen.return_value = mock_process
+
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            try:
+                transcriber.is_running = True
+                transcriber.start_local_whisper_server()
+
+                # Should have created an OpenAI client
+                assert transcriber.openai_client is not None
+                assert transcriber.process is not None
+            finally:
+                # Clean up to prevent QThread warnings
+                transcriber.is_running = False
+                transcriber.process = None
+
+    def test_start_local_whisper_server_with_language(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="fr",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"), \
+             patch("subprocess.Popen") as mock_popen, \
+             patch("time.sleep"):
+
+            mock_process = MagicMock()
+            mock_process.poll.return_value = None
+            mock_popen.return_value = mock_process
+
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            try:
+                transcriber.is_running = True
+                transcriber.start_local_whisper_server()
+
+                # Check that the language was passed to the command
+                call_args = mock_popen.call_args
+                cmd = call_args[0][0]
+                assert "--language" in cmd
+                assert "fr" in cmd
+            finally:
+                transcriber.is_running = False
+                transcriber.process = None
+
+    def test_start_local_whisper_server_auto_language(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language=None,
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"), \
+             patch("subprocess.Popen") as mock_popen, \
+             patch("time.sleep"):
+
+            mock_process = MagicMock()
+            mock_process.poll.return_value = None
+            mock_popen.return_value = mock_process
+
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            try:
+                transcriber.is_running = True
+                transcriber.start_local_whisper_server()
+
+                # Check that auto language was used
+                call_args = mock_popen.call_args
+                cmd = call_args[0][0]
+                assert "--language" in cmd
+                assert "auto" in cmd
+            finally:
+                transcriber.is_running = False
+                transcriber.process = None
+
+    def test_start_local_whisper_server_handles_failure(self):
+        transcription_options = TranscriptionOptions(
+            model=TranscriptionModel(model_type=ModelType.WHISPER_CPP),
+            language="en",
+            task=Task.TRANSCRIBE,
+        )
+
+        with patch("sounddevice.check_input_settings"), \
+             patch("subprocess.Popen") as mock_popen, \
+             patch("time.sleep"):
+
+            # Mock a failed process
+            mock_process = MagicMock()
+            mock_process.poll.return_value = 1  # Process terminated with error
+            mock_process.stderr.read.return_value = b"Error loading model"
+            mock_popen.return_value = mock_process
+
+            transcriber = RecordingTranscriber(
+                transcription_options=transcription_options,
+                input_device_index=0,
+                sample_rate=16000,
+                model_path="/fake/path",
+                sounddevice=MockSoundDevice(),
+            )
+
+            transcriptions = []
+            transcriber.transcription.connect(lambda text: transcriptions.append(text))
+
+            try:
+                transcriber.is_running = True
+                transcriber.start_local_whisper_server()
+
+                # Should not have created a client when server failed
+                assert transcriber.openai_client is None
+                # Should have emitted starting and error messages
+                assert len(transcriptions) >= 1
+                # First message should be about starting Whisper.cpp
+                assert "Whisper" in transcriptions[0]
+            finally:
+                transcriber.is_running = False
+                transcriber.process = None
diff --git a/tests/transcriber/transformers_whisper_test.py b/tests/transcriber/transformers_whisper_test.py
index 69c72705..ec09034e 100644
--- a/tests/transcriber/transformers_whisper_test.py
+++ b/tests/transcriber/transformers_whisper_test.py
@@ -1,9 +1,69 @@
 import os
+import sys
+import platform
 from unittest.mock import patch
 
 import pytest
 
-from buzz.transformers_whisper import TransformersTranscriber
+from buzz.transformers_whisper import TransformersTranscriber, is_intel_mac, is_peft_model
+
+
+class TestIsIntelMac:
+    @pytest.mark.parametrize(
+        "sys_platform,machine,expected",
+        [
+            ("linux", "x86_64", False),
+            ("win32", "x86_64", False),
+            ("darwin", "arm64", False),
+            ("darwin", "x86_64", True),
+            ("darwin", "i386", False),
+        ],
+    )
+    def test_is_intel_mac(self, sys_platform, machine, expected):
+        with patch("buzz.transformers_whisper.sys.platform", sys_platform), \
+             patch("buzz.transformers_whisper.platform.machine", return_value=machine):
+            assert is_intel_mac() == expected
+
+
+class TestIsPeftModel:
+    @pytest.mark.parametrize(
+        "model_id,expected",
+        [
+            ("openai/whisper-tiny-peft", True),
+            ("user/model-PEFT", True),
+            ("openai/whisper-tiny", False),
+            ("facebook/mms-1b-all", False),
+            ("", False),
+        ],
+    )
+    def test_peft_detection(self, model_id, expected):
+        assert is_peft_model(model_id) == expected
+
+
+class TestGetPeftRepoId:
+    def test_repo_id_returned_as_is(self):
+        transcriber = TransformersTranscriber("user/whisper-tiny-peft")
+        with patch("os.path.exists", return_value=False):
+            assert transcriber._get_peft_repo_id() == "user/whisper-tiny-peft"
+
+    def test_linux_cache_path(self):
+        linux_path = "/home/user/.cache/Buzz/models/models--user--whisper-peft/snapshots/abc123"
+        transcriber = TransformersTranscriber(linux_path)
+        with patch("os.path.exists", return_value=True), \
+             patch("buzz.transformers_whisper.os.sep", "/"):
+            assert transcriber._get_peft_repo_id() == "user/whisper-peft"
+
+    def test_windows_cache_path(self):
+        windows_path = r"C:\Users\user\.cache\Buzz\models\models--user--whisper-peft\snapshots\abc123"
+        transcriber = TransformersTranscriber(windows_path)
+        with patch("os.path.exists", return_value=True), \
+             patch("buzz.transformers_whisper.os.sep", "\\"):
+            assert transcriber._get_peft_repo_id() == "user/whisper-peft"
+
+    def test_fallback_returns_model_id(self):
+        transcriber = TransformersTranscriber("some-local-model")
+        with patch("os.path.exists", return_value=True):
+            assert transcriber._get_peft_repo_id() == "some-local-model"
 
 
 class TestGetMmsRepoId:
diff --git a/tests/transcriber/whisper_file_transcriber_test.py b/tests/transcriber/whisper_file_transcriber_test.py
index e4041edf..18a032b6 100644
--- a/tests/transcriber/whisper_file_transcriber_test.py
+++ b/tests/transcriber/whisper_file_transcriber_test.py
@@ -21,11 +21,59 @@ from buzz.transcriber.transcriber import (
     FileTranscriptionOptions,
     Segment,
 )
-from buzz.transcriber.whisper_file_transcriber import WhisperFileTranscriber
+from buzz.transcriber.whisper_file_transcriber import (
+    WhisperFileTranscriber,
+    check_file_has_audio_stream,
+    PROGRESS_REGEX,
+)
 from tests.audio import test_audio_path
 from tests.model_loader import get_model_path
 
 
+class TestCheckFileHasAudioStream:
+    def test_valid_audio_file(self):
+        # Should not raise exception for valid audio file
+        check_file_has_audio_stream(test_audio_path)
+
+    def test_missing_file(self):
+        with pytest.raises(ValueError, match="File not found"):
+            check_file_has_audio_stream("/nonexistent/path/to/file.mp3")
+
+    def test_invalid_media_file(self):
+        # Create a temporary text file (not a valid media file)
+        temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
+        try:
+            temp_file.write(b"This is not a valid media file")
+            temp_file.close()
+            with pytest.raises(ValueError, match="Invalid media file"):
+                check_file_has_audio_stream(temp_file.name)
+        finally:
+            os.unlink(temp_file.name)
+
+
+class TestProgressRegex:
+    def test_integer_percentage(self):
+        match = PROGRESS_REGEX.search("Progress: 50%")
+        assert match is not None
+        assert match.group() == "50%"
+
+    def test_decimal_percentage(self):
+        match = PROGRESS_REGEX.search("Progress: 75.5%")
+        assert match is not None
+        assert match.group() == "75.5%"
+
+    def test_no_match(self):
+        match = PROGRESS_REGEX.search("No percentage here")
+        assert match is None
+
+    def test_extract_percentage_value(self):
+        line = "Transcription progress: 85%"
+        match = PROGRESS_REGEX.search(line)
+        assert match is not None
+        percentage = int(match.group().strip("%"))
+        assert percentage == 85
+
+
 class TestWhisperFileTranscriber:
     @pytest.mark.parametrize(
         "file_path,output_format,expected_file_path",
diff --git a/tests/translator_test.py b/tests/translator_test.py
index c9b4d8e3..4cfc54f1 100644
--- a/tests/translator_test.py
+++ b/tests/translator_test.py
@@ -8,6 +8,56 @@ from PyQt6.QtCore import QThread
 from buzz.translator import Translator
 from buzz.transcriber.transcriber import TranscriptionOptions
 from buzz.widgets.transcriber.advanced_settings_dialog import AdvancedSettingsDialog
+from buzz.locale import _
+
+
+class TestParseBatchResponse:
+    def test_simple_batch(self):
+        response = "[1] Hello\n[2] World"
+        result = Translator._parse_batch_response(response, 2)
+        assert len(result) == 2
+        assert result[0] == "Hello"
+        assert result[1] == "World"
+
+    def test_missing_entries_fallback(self):
+        response = "[1] Hello\n[3] World"
+        result = Translator._parse_batch_response(response, 3)
+        assert len(result) == 3
+        assert result[0] == "Hello"
+        assert result[1] == _("Translation error, see logs!")
+        assert result[2] == "World"
+
+    def test_multiline_entries(self):
+        response = "[1] This is a long\nmultiline translation\n[2] Short"
+        result = Translator._parse_batch_response(response, 2)
+        assert len(result) == 2
+        assert "multiline" in result[0]
+        assert result[1] == "Short"
+
+    def test_single_item_batch(self):
+        response = "[1] Single translation"
+        result = Translator._parse_batch_response(response, 1)
+        assert len(result) == 1
+        assert result[0] == "Single translation"
+
+    def test_empty_response(self):
+        response = ""
+        result = Translator._parse_batch_response(response, 2)
+        assert len(result) == 2
+        assert result[0] == _("Translation error, see logs!")
+        assert result[1] == _("Translation error, see logs!")
+
+    def test_whitespace_handling(self):
+        response = "[1]   Hello with spaces   \n[2]   World   "
+        result = Translator._parse_batch_response(response, 2)
+        assert result[0] == "Hello with spaces"
+        assert result[1] == "World"
+
+    def test_out_of_order_entries(self):
+        response = "[2] Second\n[1] First"
+        result = Translator._parse_batch_response(response, 2)
+        assert result[0] == "First"
+        assert result[1] == "Second"
 
 
 class TestTranslator:
@@ -25,6 +75,7 @@ class TestTranslator:
         side_effect.call_count = 0
 
         mock_queue.get.side_effect = side_effect
+        mock_queue.get_nowait.side_effect = Empty
         mock_chat = Mock()
         mock_openai.return_value.chat = mock_chat
         mock_chat.completions.create.return_value = Mock(
@@ -110,6 +161,10 @@ class TestTranslator:
             self.translation_thread.quit()
             # Wait for the thread to actually finish before cleanup
             self.translation_thread.wait()
+            # Process pending events to ensure deleteLater() is handled
+            from PyQt6.QtCore import QCoreApplication
+            QCoreApplication.processEvents()
+            time.sleep(0.1)  # Give time for cleanup
 
         # Note: translator and translation_thread will be automatically deleted
         # via the deleteLater() connections set up earlier
diff --git a/tests/widgets/transcription_viewer/transcription_viewer_widget_additional_test.py b/tests/widgets/transcription_viewer/transcription_viewer_widget_additional_test.py
index 9e716e7a..124f3541 100644
--- a/tests/widgets/transcription_viewer/transcription_viewer_widget_additional_test.py
+++ b/tests/widgets/transcription_viewer/transcription_viewer_widget_additional_test.py
@@ -778,9 +778,13 @@ class TestTranscriptionViewerWidgetAdditional:
 
         widget.close()
 
-    # TODO - it is sending actual requests, should mock
-    def test_run_translation(self, qtbot: QtBot, transcription, transcription_service, shortcuts):
+    @patch('buzz.translator.OpenAI')
+    def test_run_translation(self, mock_openai, qtbot: QtBot, transcription, transcription_service, shortcuts):
         """Test run_translation method"""
+        mock_openai.return_value.chat.completions.create.return_value = MagicMock(
+            choices=[MagicMock(message=MagicMock(content="Translated text"))]
+        )
+
         widget = TranscriptionViewerWidget(
             transcription, transcription_service, shortcuts
         )
diff --git a/uv.lock b/uv.lock
index 674b0ef3..5b51fac1 100644
--- a/uv.lock
+++ b/uv.lock
@@ -274,7 +274,7 @@ wheels = [
 
 [[package]]
 name = "buzz-captions"
-version = "1.4.3"
+version = "1.4.4"
 source = { editable = "." }
 dependencies = [
     { name = "accelerate" },
@@ -1132,7 +1132,6 @@ wheels = [
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     { url = "https://files.pythonhosted.org/packages/a4/39/f1c8da50024feecd0793dbd5e08f526809b8ab5609224a2da40aad3a7641/greenlet-3.3.0-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:e8e18ed6995e9e2c0b4ed264d2cf89260ab3ac7e13555b8032b25a74c6d18655", size = 607742, upload-time = "2025-12-04T14:57:42.349Z" },
-    { url = "https://files.pythonhosted.org/packages/77/cb/43692bcd5f7a0da6ec0ec6d58ee7cddb606d055ce94a62ac9b1aa481e969/greenlet-3.3.0-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:c024b1e5696626890038e34f76140ed1daf858e37496d33f2af57f06189e70d7", size = 622297, upload-time = "2025-12-04T15:07:13.552Z" },
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