diff --git a/birdnet_analyzer/analyze/core.py b/birdnet_analyzer/analyze/core.py
index 289c0eae2..82374db68 100644
--- a/birdnet_analyzer/analyze/core.py
+++ b/birdnet_analyzer/analyze/core.py
@@ -160,13 +160,10 @@ def analyze(
             output = audio_input
 
     if split_tables:
-        output: Path = (
-            audio_input_path.parent if audio_input_path.is_file() else audio_input_path
-        )
         _split_tables(
             df,
             audio_input_path,
-            output,
+            Path(output),
             fmin,
             fmax,
             predictions,
@@ -181,53 +178,53 @@ def analyze(
             sensitivity,
             species_list_file,
         )
+    else:
+        if "table" in rtypes:
+            save_as_rtable(
+                df,
+                fmin,
+                fmax,
+                predictions.model_fmin,
+                predictions.model_fmax,
+                audio_speed,
+                Path(output) / cfg.OUTPUT_RAVEN_FILENAME,
+            )
 
-    if "table" in rtypes:
-        save_as_rtable(
-            df,
-            fmin,
-            fmax,
-            predictions.model_fmin,
-            predictions.model_fmax,
-            audio_speed,
-            Path(output) / cfg.OUTPUT_RAVEN_FILENAME,
-        )
-
-    if "csv" in rtypes:
-        save_as_csv(
-            df,
-            Path(output) / cfg.OUTPUT_CSV_FILENAME,
-            additional_columns,
-            lat=lat,
-            lon=lon,
-            week=week,
-            overlap=overlap,
-            min_conf=min_conf,
-            sensitivity=sensitivity,
-            species_list_file=species_list_file,
-            model_path=predictions.model_path,
-        )
+        if "csv" in rtypes:
+            save_as_csv(
+                df,
+                Path(output) / cfg.OUTPUT_CSV_FILENAME,
+                additional_columns,
+                lat=lat,
+                lon=lon,
+                week=week,
+                overlap=overlap,
+                min_conf=min_conf,
+                sensitivity=sensitivity,
+                species_list_file=species_list_file,
+                model_path=predictions.model_path,
+            )
 
-    if "kaleidoscope" in rtypes:
-        save_as_kaleidoscope(df, Path(output) / cfg.OUTPUT_KALEIDOSCOPE_FILENAME)
+        if "kaleidoscope" in rtypes:
+            save_as_kaleidoscope(df, Path(output) / cfg.OUTPUT_KALEIDOSCOPE_FILENAME)
 
-    if "audacity" in rtypes:
-        save_as_audacity(df, Path(output) / cfg.OUTPUT_AUDACITY_FILENAME)
+        if "audacity" in rtypes:
+            save_as_audacity(df, Path(output) / cfg.OUTPUT_AUDACITY_FILENAME)
 
-    if "parquet" in rtypes:
-        save_as_parquet(
-            df,
-            Path(output) / cfg.OUTPUT_PARQUET_FILENAME,
-            additional_columns,
-            lat=lat,
-            lon=lon,
-            week=week,
-            overlap=overlap,
-            min_conf=min_conf,
-            sensitivity=sensitivity,
-            species_list_file=species_list_file,
-            model_path=predictions.model_path,
-        )
+        if "parquet" in rtypes:
+            save_as_parquet(
+                df,
+                Path(output) / cfg.OUTPUT_PARQUET_FILENAME,
+                additional_columns,
+                lat=lat,
+                lon=lon,
+                week=week,
+                overlap=overlap,
+                min_conf=min_conf,
+                sensitivity=sensitivity,
+                species_list_file=species_list_file,
+                model_path=predictions.model_path,
+            )
 
     if save_params:
         save_params_to_file(
@@ -355,6 +352,21 @@ def _split_tables(
                 df_file, output / (file_shorthand + ".BirdNET.results.txt")
             )
 
+        if "parquet" in rtypes:
+            save_as_parquet(
+                df_file,
+                output / (file_shorthand + ".BirdNET.results.parquet"),
+                additional_columns,
+                lat=lat,
+                lon=lon,
+                week=week,
+                overlap=overlap,
+                min_conf=min_conf,
+                sensitivity=sensitivity,
+                species_list_file=species_list_file,
+                model_path=predictions.model_path,
+            )
+
 
 def _merge_consecutive_segments(
     df: pd.DataFrame, merge_consecutive: int, hop_size: float = 3.0
diff --git a/birdnet_analyzer/gui/analysis.py b/birdnet_analyzer/gui/analysis.py
index 2aa19cef2..bdca21c49 100644
--- a/birdnet_analyzer/gui/analysis.py
+++ b/birdnet_analyzer/gui/analysis.py
@@ -64,6 +64,7 @@ def run_analysis(
     n_producers,
     n_workers,
     progress: gr.Progress | None,
+    split_tables: bool = False,
 ):
     """Starts the analysis.
 
@@ -94,6 +95,7 @@ def run_analysis(
         n_workers: The number of worker threads to be used.
         input_dir: The input directory.
         progress: The gradio progress bar.
+        split_tables: Whether to split the output into separate tables per input file.
     """
     import birdnet_analyzer.gui.localization as loc
     from birdnet_analyzer.analyze import analyze
@@ -154,5 +156,6 @@ def run_analysis(
         save_params=save_params,
         n_producers=n_producers,
         n_workers=n_workers,
+        split_tables=split_tables,
         _return_only=bool(input_path),  # only for single file tab
     )
diff --git a/birdnet_analyzer/gui/multi_file.py b/birdnet_analyzer/gui/multi_file.py
index 10622a0c6..92ffbb130 100644
--- a/birdnet_analyzer/gui/multi_file.py
+++ b/birdnet_analyzer/gui/multi_file.py
@@ -50,6 +50,7 @@ def run_batch_analysis(
     custom_classifier_file,
     output_type,
     additional_columns,
+    split_tables_checkbox,
     locale,
     batch_size,
     producers_number,
@@ -91,6 +92,7 @@ def run_batch_analysis(
         progress=progress,
         n_producers=producers_number,
         n_workers=workers_number,
+        split_tables=split_tables_checkbox,
     )
     skipped_files = [results.inputs[ui] for ui in results.unprocessable_inputs]
     header = (
@@ -219,6 +221,11 @@ def select_directory_wrapper():
                 label=loc.localize("multi-tab-additional-columns-checkbox-label"),
                 info=loc.localize("multi-tab-additional-columns-checkbox-info"),
             )
+            split_tables_checkbox = gr.Checkbox(
+                False,
+                label=loc.localize("multi-tab-split-table-checkbox-label"),
+                info=loc.localize("multi-tab-split-table-checkbox-info"),
+            )
 
         bs_number, producers_number, workers_number = gu.computing_settings()
         start_batch_analysis_btn = gr.Button(
@@ -247,6 +254,7 @@ def select_directory_wrapper():
             model_settings["selected_classifier_state"],
             output_type_radio,
             additional_columns_,
+            split_tables_checkbox,
             model_settings["locale_dropdown"],
             bs_number,
             producers_number,
diff --git a/birdnet_analyzer/lang/de.json b/birdnet_analyzer/lang/de.json
index 08ce880f1..5deba85e7 100644
--- a/birdnet_analyzer/lang/de.json
+++ b/birdnet_analyzer/lang/de.json
@@ -180,6 +180,8 @@
     "multi-tab-samples-dataframe-column-duration-header": "Länge",
     "multi-tab-samples-dataframe-column-subpath-header": "Unterpfad",
     "multi-tab-samples-dataframe-no-files-found": "Keine Dateien gefunden",
+    "multi-tab-split-table-checkbox-info": "Wenn aktiviert, wird für jede Eingabedatei eine separate Ergebnistabelle erstellt. Andernfalls werden alle Ergebnisse in einer einzigen Tabelle zusammengefasst.",
+    "multi-tab-split-table-checkbox-label": "Tabellen pro Eingabedatei aufteilen",
     "multi-tab-title": "Batch-Analyse",
     "progress-analyzing": "Analysiere",
     "progress-autotune": "Autotune läuft",
@@ -369,13 +371,13 @@
     "training-tab-upsampling-radio-option-smote": "SMOTE",
     "training-tab-upsampling-ratio-slider-info": "Das Mindestverhältnis für eine Minderheitenklasse im Vergleich zur Mehrheitsklasse nach dem Upsampling.",
     "training-tab-upsampling-ratio-slider-label": "Upsampling-Verhältnis",
-    "training-tab-warning-detached-classifier-append": "Der \"Anhängen\"-Modus wird für den abgekoppelten Klassifikator nicht angewendet.",
     "training-tab-use-focal-loss-checkbox-info": "Verwendet Focal Loss während des Trainings. Dies gibt schwierigen Beispielen mehr Gewicht und hilft, Klassenungleichgewichte zu bewältigen.",
     "training-tab-use-focal-loss-checkbox-label": "Focal Loss verwenden",
     "training-tab-use-labelsmoothing-checkbox-info": "Wendet Label Smoothing während des Trainings an. Dies kann die Generalisierung des Modells verbessern, indem es verhindert, dass das Modell zu selbstsicher wird.",
     "training-tab-use-labelsmoothing-checkbox-label": "Label Smoothing verwenden",
     "training-tab-use-mixup-checkbox-info": "Mixup ist eine Technik zur Datenvermehrung, die neue Daten durch Mischen zweier Beispiele und ihrer Label erzeugt.",
     "training-tab-use-mixup-checkbox-label": "Mixup verwenden",
+    "training-tab-warning-detached-classifier-append": "Der \"Anhängen\"-Modus wird für den abgekoppelten Klassifikator nicht angewendet.",
     "validation-max-confidence-lower-than-min-confidence": "Maximaler Konfidenz-Schwellwert muss größer sein als der minimale Schwellwert.",
     "validation-no-audio-directory-selected": "Kein Audioverzeichnis ausgewählt",
     "validation-no-cache-file-selected": "Bitte wählen Sie eine Cache-Datei aus.",
@@ -390,4 +392,4 @@
     "validation-no-valid-epoch-number": "Bitte geben Sie eine gültige Anzahl von Epochen an.",
     "validation-no-valid-frequency": "Bitte geben Sie eine gültige Frequenz an",
     "validation-no-valid-learning-rate": "Bitte geben Sie eine gültige Lernrate an."
-}
+}
\ No newline at end of file
diff --git a/birdnet_analyzer/lang/en.json b/birdnet_analyzer/lang/en.json
index 3fa95b7ac..62f5e4a88 100644
--- a/birdnet_analyzer/lang/en.json
+++ b/birdnet_analyzer/lang/en.json
@@ -180,6 +180,8 @@
     "multi-tab-samples-dataframe-column-duration-header": "Length",
     "multi-tab-samples-dataframe-column-subpath-header": "Subpath",
     "multi-tab-samples-dataframe-no-files-found": "No files found",
+    "multi-tab-split-table-checkbox-info": "When enabled, a separate result table is created for each input file. Otherwise, all results are combined into a single table.",
+    "multi-tab-split-table-checkbox-label": "Split tables by input file",
     "multi-tab-title": "Batch analysis",
     "progress-analyzing": "Analyzing",
     "progress-autotune": "Autotune in progress",
@@ -369,13 +371,13 @@
     "training-tab-upsampling-radio-option-smote": "SMOTE",
     "training-tab-upsampling-ratio-slider-info": "The minimum ratio for a minority class compared to the majority class after upsampling.",
     "training-tab-upsampling-ratio-slider-label": "Upsampling ratio",
-    "training-tab-warning-detached-classifier-append": "Append mode will not apply to the detached classifier.",
     "training-tab-use-focal-loss-checkbox-info": "Uses focal loss during training. This gives more weight to hard examples and helps handle class imbalance.",
     "training-tab-use-focal-loss-checkbox-label": "Use focal loss",
     "training-tab-use-labelsmoothing-checkbox-info": "Applies label smoothing during training. This can help improve model generalization by preventing the model from becoming too confident.",
     "training-tab-use-labelsmoothing-checkbox-label": "Use label smoothing",
     "training-tab-use-mixup-checkbox-info": "Applies mixup augmentation during training. This can help improve model generalization by creating new training samples through linear interpolation.",
     "training-tab-use-mixup-checkbox-label": "Use mixup",
+    "training-tab-warning-detached-classifier-append": "Append mode will not apply to the detached classifier.",
     "validation-max-confidence-lower-than-min-confidence": "Maximum confidence must be greater than minimum confidence",
     "validation-no-audio-directory-selected": "No audio directory selected",
     "validation-no-cache-file-selected": "Please select a cache file.",
diff --git a/birdnet_analyzer/lang/fi.json b/birdnet_analyzer/lang/fi.json
index 7080400e1..1c36442b5 100644
--- a/birdnet_analyzer/lang/fi.json
+++ b/birdnet_analyzer/lang/fi.json
@@ -180,6 +180,8 @@
     "multi-tab-samples-dataframe-column-duration-header": "Pituus",
     "multi-tab-samples-dataframe-column-subpath-header": "Alihakemisto",
     "multi-tab-samples-dataframe-no-files-found": "Tiedostoja ei löytynyt",
+    "multi-tab-split-table-checkbox-info": "Kun tämä asetus on käytössä, jokaiselle syötetiedostolle luodaan oma tulostaulukko. Muussa tapauksessa kaikki tulokset yhdistetään yhteen taulukkoon.",
+    "multi-tab-split-table-checkbox-label": "Jaa taulukot syötetiedoston mukaan",
     "multi-tab-title": "Eräanalyysi",
     "progress-analyzing": "Analysoidaan",
     "progress-autotune": "Autoviritys käynnissä",
@@ -369,13 +371,13 @@
     "training-tab-upsampling-radio-option-smote": "SMOTE",
     "training-tab-upsampling-ratio-slider-info": "Vähemmistöluokan vähimmäissuhde enemmistöluokkaan verrattuna ylösnäytteistyksen jälkeen.",
     "training-tab-upsampling-ratio-slider-label": "Ylösnäytteistyssuhde",
-    "training-tab-warning-detached-classifier-append": "Liitä-tila ei koske irrotettua luokitinta.",
     "training-tab-use-focal-loss-checkbox-info": "Käyttää focal lossia koulutuksen aikana. Tämä antaa enemmän painoarvoa vaikeille esimerkeille ja auttaa käsittelemään luokkien epätasapainoa.",
     "training-tab-use-focal-loss-checkbox-label": "Käytä focal lossia",
     "training-tab-use-labelsmoothing-checkbox-info": "Soveltaa label smoothingia koulutuksen aikana. Tämä voi parantaa mallin yleistämistä estämällä mallia tulemasta liian itsevarmaksi.",
     "training-tab-use-labelsmoothing-checkbox-label": "Käytä label smoothingia",
     "training-tab-use-mixup-checkbox-info": "Sekoitus on datarikastusmenetelmä, joka luo uusia näytteitä yhdistämällä kaksi näytettä ja niiden leimaukset.",
     "training-tab-use-mixup-checkbox-label": "Käytä sekoitusta",
+    "training-tab-warning-detached-classifier-append": "Liitä-tila ei koske irrotettua luokitinta.",
     "validation-max-confidence-lower-than-min-confidence": "Enimmäisluotettavuuden on oltava suurempi kuin vähimmäisluotettavuus",
     "validation-no-audio-directory-selected": "Äänihakemistoa ei ole valittu",
     "validation-no-cache-file-selected": "Valitse välimuistitiedosto.",
@@ -390,4 +392,4 @@
     "validation-no-valid-epoch-number": "Anna kelvollinen aikakausien määrä.",
     "validation-no-valid-frequency": "Anna kelvollinen taajuus",
     "validation-no-valid-learning-rate": "Anna kelvollinen oppimistahti."
-}
+}
\ No newline at end of file
diff --git a/birdnet_analyzer/lang/fr.json b/birdnet_analyzer/lang/fr.json
index 79fe3750a..56f369806 100644
--- a/birdnet_analyzer/lang/fr.json
+++ b/birdnet_analyzer/lang/fr.json
@@ -180,6 +180,8 @@
     "multi-tab-samples-dataframe-column-duration-header": "Longueur",
     "multi-tab-samples-dataframe-column-subpath-header": "Sous-chemin",
     "multi-tab-samples-dataframe-no-files-found": "Aucun fichiers trouvés",
+    "multi-tab-split-table-checkbox-info": "Lorsqu'elle est activée, une table de résultats distincte est créée pour chaque fichier d'entrée. Sinon, tous les résultats sont regroupés dans une seule table.",
+    "multi-tab-split-table-checkbox-label": "Séparer les tables par fichier d'entrée",
     "multi-tab-title": "Analyse par lots",
     "progress-analyzing": "Analyse en cours",
     "progress-autotune": "Autotune en progression",
@@ -369,13 +371,13 @@
     "training-tab-upsampling-radio-option-smote": "SMOTE",
     "training-tab-upsampling-ratio-slider-info": "Le ratio minimum pour une classe minoritaire par rapport à la classe majoritaire après le rééchantillonnage.",
     "training-tab-upsampling-ratio-slider-label": "Rapport de suréchantillonnage",
-    "training-tab-warning-detached-classifier-append": "Le mode d'ajout ne s'appliquera pas au classificateur détaché.",
     "training-tab-use-focal-loss-checkbox-info": "Utilise la perte focale pendant l'entraînement. Cela donne plus de poids aux exemples difficiles et aide à gérer le déséquilibre des classes.",
     "training-tab-use-focal-loss-checkbox-label": "Utiliser la perte focale",
     "training-tab-use-labelsmoothing-checkbox-info": "Applique le lissage des étiquettes pendant l'entraînement. Cela peut améliorer la généralisation du modèle en empêchant le modèle de devenir trop confiant.",
     "training-tab-use-labelsmoothing-checkbox-label": "Utiliser le lissage des étiquettes",
     "training-tab-use-mixup-checkbox-info": "Le mixage est une technique d'augmentation des données qui génère de nouveaux échantillons en mélangeant deux échantillons et leurs étiquettes.",
     "training-tab-use-mixup-checkbox-label": "Utiliser le mixage",
+    "training-tab-warning-detached-classifier-append": "Le mode d'ajout ne s'appliquera pas au classificateur détaché.",
     "validation-max-confidence-lower-than-min-confidence": "La confiance maximale doit être supérieure à la confiance minimale",
     "validation-no-audio-directory-selected": "Aucun dossiers audio sélectionnés",
     "validation-no-cache-file-selected": "Veuillez sélectionner un fichier cache.",
@@ -390,4 +392,4 @@
     "validation-no-valid-epoch-number": "Veuillez saisir un nombre valide d'époques.",
     "validation-no-valid-frequency": "Veuillez saisir une fréquence valide dans",
     "validation-no-valid-learning-rate": "Veuillez saisir un taux d'apprentissage valide."
-}
+}
\ No newline at end of file
diff --git a/birdnet_analyzer/lang/id.json b/birdnet_analyzer/lang/id.json
index 534265b57..ef30e6c72 100644
--- a/birdnet_analyzer/lang/id.json
+++ b/birdnet_analyzer/lang/id.json
@@ -180,6 +180,8 @@
     "multi-tab-samples-dataframe-column-duration-header": "Panjang",
     "multi-tab-samples-dataframe-column-subpath-header": "Subjalur",
     "multi-tab-samples-dataframe-no-files-found": "Tidak ada file yang ditemukan",
+    "multi-tab-split-table-checkbox-info": "Kun tämä asetus on käytössä, jokaiselle syötetiedostolle luodaan oma tulostaulukko. Muussa tapauksessa kaikki tulokset yhdistetään yhteen taulukkoon.",
+    "multi-tab-split-table-checkbox-label": "Jaa taulukot syötetiedoston mukaan",
     "multi-tab-title": "Analisis batch",
     "progress-analyzing": "Menganalisis",
     "progress-autotune": "Autotune dalam progres",
@@ -369,13 +371,13 @@
     "training-tab-upsampling-radio-option-smote": "SMOTE",
     "training-tab-upsampling-ratio-slider-info": "Rasio minimum untuk kelas minoritas dibandingkan dengan kelas mayoritas setelah peningkatan sampel.",
     "training-tab-upsampling-ratio-slider-label": "Rasio peningkatan sampel",
-    "training-tab-warning-detached-classifier-append": "Mode tambah tidak akan berlaku untuk pengklasifikasi terlepas.",
     "training-tab-use-focal-loss-checkbox-info": "Menggunakan focal loss selama pelatihan. Ini memberikan bobot lebih pada contoh yang sulit dan membantu menangani ketidakseimbangan kelas.",
     "training-tab-use-focal-loss-checkbox-label": "Gunakan focal loss",
     "training-tab-use-labelsmoothing-checkbox-info": "Menerapkan label smoothing selama pelatihan. Ini dapat membantu meningkatkan generalisasi model dengan mencegah model menjadi terlalu percaya diri.",
     "training-tab-use-labelsmoothing-checkbox-label": "Gunakan label smoothing",
     "training-tab-use-mixup-checkbox-info": "Mixup adalah teknik augmentasi data yang menghasilkan sampel baru dengan mencampurkan dua sampel dan labelnya.",
     "training-tab-use-mixup-checkbox-label": "Gunakan mixup",
+    "training-tab-warning-detached-classifier-append": "Mode tambah tidak akan berlaku untuk pengklasifikasi terlepas.",
     "validation-max-confidence-lower-than-min-confidence": "Kepercayaan maksimum harus lebih besar dari kepercayaan minimum",
     "validation-no-audio-directory-selected": "Tidak ada audio direktori yang dipilih",
     "validation-no-cache-file-selected": "Silakan pilih berkas cache.",
@@ -390,4 +392,4 @@
     "validation-no-valid-epoch-number": "Silakan masukkan jumlah epochs yang valid.",
     "validation-no-valid-frequency": "Silakan masukkan frekuensi yang valid dalam",
     "validation-no-valid-learning-rate": "Silakan masukkan laju pembelajaran yang valid."
-}
+}
\ No newline at end of file
diff --git a/birdnet_analyzer/lang/pt-br.json b/birdnet_analyzer/lang/pt-br.json
index 121f80ace..eb47767a1 100644
--- a/birdnet_analyzer/lang/pt-br.json
+++ b/birdnet_analyzer/lang/pt-br.json
@@ -180,6 +180,8 @@
     "multi-tab-samples-dataframe-column-duration-header": "Duração",
     "multi-tab-samples-dataframe-column-subpath-header": "Subcaminho",
     "multi-tab-samples-dataframe-no-files-found": "Nenhum arquivo encontrado",
+    "multi-tab-split-table-checkbox-info": "Quando ativado, uma tabela de resultados separada é criada para cada arquivo de entrada. Caso contrário, todos os resultados são combinados em uma única tabela.",
+    "multi-tab-split-table-checkbox-label": "Separar tabelas por arquivo de entrada",
     "multi-tab-title": "Análise em lote",
     "progress-analyzing": "Analisando",
     "progress-autotune": "Autotune em progresss",
@@ -369,13 +371,13 @@
     "training-tab-upsampling-radio-option-smote": "SMOTE",
     "training-tab-upsampling-ratio-slider-info": "A proporção mínima para uma classe minoritária em comparação com a classe majoritária após a amostragem adicional.",
     "training-tab-upsampling-ratio-slider-label": "Taxa de upsampling",
-    "training-tab-warning-detached-classifier-append": "O modo de acréscimo não será aplicado ao classificador desanexado.",
     "training-tab-use-focal-loss-checkbox-info": "Usa perda focal durante o treinamento. Isso dá mais peso a exemplos difíceis e ajuda a lidar com o desequilíbrio de classes.",
     "training-tab-use-focal-loss-checkbox-label": "Usar perda focal",
     "training-tab-use-labelsmoothing-checkbox-info": "Aplica suavização de rótulos durante o treinamento. Isso pode melhorar a generalização do modelo, evitando que ele se torne excessivamente confiante.",
     "training-tab-use-labelsmoothing-checkbox-label": "Usar suavização de rótulos",
     "training-tab-use-mixup-checkbox-info": "Mixup é uma técnica de aumento de dados que gera novas amostras misturando duas amostras e seus rótulos.",
     "training-tab-use-mixup-checkbox-label": "Usar mixup",
+    "training-tab-warning-detached-classifier-append": "O modo de acréscimo não será aplicado ao classificador desanexado.",
     "validation-max-confidence-lower-than-min-confidence": "A confiança máxima deve ser maior que a confiança mínima",
     "validation-no-audio-directory-selected": "Nenhum diretório de áudios selecionado",
     "validation-no-cache-file-selected": "Selecione um arquivo de cache.",
@@ -390,4 +392,4 @@
     "validation-no-valid-epoch-number": "Adicionar um número de épocas (epochs) válido.",
     "validation-no-valid-frequency": "Adicionar uma frequência válida em",
     "validation-no-valid-learning-rate": "Adicionar uma taxa de amostragem válida."
-}
+}
\ No newline at end of file
diff --git a/birdnet_analyzer/lang/ru.json b/birdnet_analyzer/lang/ru.json
index 54638a622..d9270d414 100644
--- a/birdnet_analyzer/lang/ru.json
+++ b/birdnet_analyzer/lang/ru.json
@@ -180,6 +180,8 @@
     "multi-tab-samples-dataframe-column-duration-header": "Длина",
     "multi-tab-samples-dataframe-column-subpath-header": "Подпуть",
     "multi-tab-samples-dataframe-no-files-found": "Файлы не найдены",
+    "multi-tab-split-table-checkbox-info": "Если включено, для каждого входного файла будет создана отдельная таблица результатов. В противном случае все результаты будут объединены в одной таблице.",
+    "multi-tab-split-table-checkbox-label": "Разделять таблицы по входным файлам",
     "multi-tab-title": "Пакетный анализ",
     "progress-analyzing": "Анализ",
     "progress-autotune": "Выполняется автонастройка",
@@ -369,13 +371,13 @@
     "training-tab-upsampling-radio-option-smote": "SMOTE",
     "training-tab-upsampling-ratio-slider-info": "Минимальный коэффициент для меньшего класса по сравнению с большим классом после повышения выборки.",
     "training-tab-upsampling-ratio-slider-label": "Коэффициент повышения дискретизации",
-    "training-tab-warning-detached-classifier-append": "Режим добавления не применяется к отсоединённому классификатору.",
     "training-tab-use-focal-loss-checkbox-info": "Использует фокальную потерю во время обучения. Это придает больший вес сложным примерам и помогает справляться с дисбалансом классов.",
     "training-tab-use-focal-loss-checkbox-label": "Использовать фокальную потерю",
     "training-tab-use-labelsmoothing-checkbox-info": "Применяет сглаживание меток во время обучения. Это может улучшить обобщение модели, предотвращая излишнюю уверенность модели.",
     "training-tab-use-labelsmoothing-checkbox-label": "Использовать сглаживание меток",
     "training-tab-use-mixup-checkbox-info": "Mixup - это метод увеличения объема данных, который генерирует новые выборки путем смешивания двух выборок и их меток.",
     "training-tab-use-mixup-checkbox-label": "Использовать смешение (Mixup)",
+    "training-tab-warning-detached-classifier-append": "Режим добавления не применяется к отсоединённому классификатору.",
     "validation-max-confidence-lower-than-min-confidence": "Максимальная достоверность должна быть больше минимальной достоверности",
     "validation-no-audio-directory-selected": "Каталог аудио не выбран",
     "validation-no-cache-file-selected": "Пожалуйста, выберите файл кэша.",
@@ -390,4 +392,4 @@
     "validation-no-valid-epoch-number": "Пожалуйста, введите допустимое количество периодов.",
     "validation-no-valid-frequency": "Введите допустимую частоту в",
     "validation-no-valid-learning-rate": "Пожалуйста, введите допустимый коэффициент обучения."
-}
+}
\ No newline at end of file
diff --git a/birdnet_analyzer/lang/se.json b/birdnet_analyzer/lang/se.json
index 875f537f3..6481b669a 100644
--- a/birdnet_analyzer/lang/se.json
+++ b/birdnet_analyzer/lang/se.json
@@ -180,6 +180,8 @@
     "multi-tab-samples-dataframe-column-duration-header": "Längd",
     "multi-tab-samples-dataframe-column-subpath-header": "Undersökväg",
     "multi-tab-samples-dataframe-no-files-found": "Inga filer hittades",
+    "multi-tab-split-table-checkbox-info": "När detta är aktiverat skapas en separat resultattabell för varje indatafil. Annars sammanställs alla resultat i en enda tabell.",
+    "multi-tab-split-table-checkbox-label": "Dela upp tabeller per indatafil",
     "multi-tab-title": "Batchanalys",
     "progress-analyzing": "Analyserar",
     "progress-autotune": "Autojustering pågår",
@@ -369,13 +371,13 @@
     "training-tab-upsampling-radio-option-smote": "SMOTE",
     "training-tab-upsampling-ratio-slider-info": "Minsta förhållandet för en minoritetsklass jämfört med majoritetsklass efter upsampling.",
     "training-tab-upsampling-ratio-slider-label": "Upsamplingsförhållande",
-    "training-tab-warning-detached-classifier-append": "Tilläggsläget gäller inte för den fristående klassificeraren.",
     "training-tab-use-focal-loss-checkbox-info": "Använder fokalförlust under träning. Detta ger mer vikt till svåra exempel och hjälper till att hantera klassobalans.",
     "training-tab-use-focal-loss-checkbox-label": "Använd fokalförlust",
     "training-tab-use-labelsmoothing-checkbox-info": "Tillämpa label smoothing under träning. Detta kan förbättra modellens generalisering genom att förhindra att modellen blir för självsäker.",
     "training-tab-use-labelsmoothing-checkbox-label": "Använd label smoothing",
     "training-tab-use-mixup-checkbox-info": "Mixup är en dataaugmenteringsteknik som genererar nya prover genom att blanda två prover och deras etiketter.",
     "training-tab-use-mixup-checkbox-label": "Använd mixup",
+    "training-tab-warning-detached-classifier-append": "Tilläggsläget gäller inte för den fristående klassificeraren.",
     "validation-max-confidence-lower-than-min-confidence": "Maximal konfidens måste vara större än minimal konfidens",
     "validation-no-audio-directory-selected": "Ingen ljudkatalog vald",
     "validation-no-cache-file-selected": "Vänligen välj en cachefil.",
@@ -390,4 +392,4 @@
     "validation-no-valid-epoch-number": "Ange ett giltigt antal epoker.",
     "validation-no-valid-frequency": "Ange en giltig frekvens i",
     "validation-no-valid-learning-rate": "Ange en giltig inlärningshastighet."
-}
+}
\ No newline at end of file
diff --git a/birdnet_analyzer/lang/tlh.json b/birdnet_analyzer/lang/tlh.json
index b0258dea1..98f51bd6b 100644
--- a/birdnet_analyzer/lang/tlh.json
+++ b/birdnet_analyzer/lang/tlh.json
@@ -180,6 +180,8 @@
     "multi-tab-samples-dataframe-column-duration-header": "tup",
     "multi-tab-samples-dataframe-column-subpath-header": "wavmey",
     "multi-tab-samples-dataframe-no-files-found": "wavmey tu'Ha'",
+    "multi-tab-split-table-checkbox-info": "chu'lu'chugh, Hoch wejDIch De' ngaSmeH nagh qechmeyvaD vaj wa' Sep ghItlhmey chenmoHlu'. chu'be'lu'chugh, Hoch QInmey wa' ghItlhmeyDaq tatlhlu'.",
+    "multi-tab-split-table-checkbox-label": "De' ngaSmeH naghmeyvo' ghItlhmey Sep",
     "multi-tab-title": "law' poj",
     "progress-analyzing": "poj",
     "progress-autotune": "autotune Qap",
@@ -369,13 +371,13 @@
     "training-tab-upsampling-radio-option-smote": "SMOTE",
     "training-tab-upsampling-ratio-slider-info": "chu' ratio Seghmey.",
     "training-tab-upsampling-ratio-slider-label": "qochHa' ratio",
-    "training-tab-warning-detached-classifier-append": "chel mIw DetlhHa' ghovwI'vaD lInglaHbe'.",
     "training-tab-use-focal-loss-checkbox-info": "qeq focal loss lo'. qeq QatlhmoH 'ej qeq laH QaQmoH.",
     "training-tab-use-focal-loss-checkbox-label": "focal loss lo'",
     "training-tab-use-labelsmoothing-checkbox-info": "qeq label smoothing lo'. qeq laH QaQmoH 'ej qeq laH QatlhmoH.",
     "training-tab-use-labelsmoothing-checkbox-label": "label smoothing lo'",
     "training-tab-use-mixup-checkbox-info": "nuvHa'choHmoH lo'law' qeq qechmey chu'.",
     "training-tab-use-mixup-checkbox-label": "nuvHa'choHmoH lo'",
+    "training-tab-warning-detached-classifier-append": "chel mIw DetlhHa' ghovwI'vaD lInglaHbe'.",
     "validation-max-confidence-lower-than-min-confidence": "nIvbogh vIt patlh tIn law' minimum vIt patlh tIn puS",
     "validation-no-audio-directory-selected": "wav Daq tu'Ha'.",
     "validation-no-cache-file-selected": "polmeH teywI' yIwIv.",
@@ -390,4 +392,4 @@
     "validation-no-valid-epoch-number": "epQochmey yIchoH.",
     "validation-no-valid-frequency": "qeq 'eS patlh yIchoH",
     "validation-no-valid-learning-rate": "qeq patlh yIchoH."
-}
+}
\ No newline at end of file
diff --git a/birdnet_analyzer/lang/zh_TW.json b/birdnet_analyzer/lang/zh_TW.json
index 7a4fe496c..a347727c6 100644
--- a/birdnet_analyzer/lang/zh_TW.json
+++ b/birdnet_analyzer/lang/zh_TW.json
@@ -180,6 +180,8 @@
     "multi-tab-samples-dataframe-column-duration-header": "長度",
     "multi-tab-samples-dataframe-column-subpath-header": "音檔路徑",
     "multi-tab-samples-dataframe-no-files-found": "找無檔案",
+    "multi-tab-split-table-checkbox-info": "啟用後，系統會為每個輸入檔案建立獨立的結果表格。否則，所有結果將合併到同一個表格中。",
+    "multi-tab-split-table-checkbox-label": "依輸入檔案分割表格",
     "multi-tab-title": "多筆音檔",
     "progress-analyzing": "分析中",
     "progress-autotune": "自動調諧進行中",
@@ -369,13 +371,13 @@
     "training-tab-upsampling-radio-option-smote": "SMOTE",
     "training-tab-upsampling-ratio-slider-info": "在上取樣後，最少數類別與最多數類別的資料數量最小比例",
     "training-tab-upsampling-ratio-slider-label": "上取樣比例",
-    "training-tab-warning-detached-classifier-append": "附加模式不適用於分離的分類器。",
     "training-tab-use-focal-loss-checkbox-info": "在訓練期間使用焦點損失。這給予困難樣本更多的權重，並有助於處理類別不平衡。",
     "training-tab-use-focal-loss-checkbox-label": "使用焦點損失",
     "training-tab-use-labelsmoothing-checkbox-info": "在訓練期間應用標籤平滑。這可以通過防止模型過於自信來幫助改善模型的泛化能力。",
     "training-tab-use-labelsmoothing-checkbox-label": "使用標籤平滑",
     "training-tab-use-mixup-checkbox-info": "Mixup 是一種數據增強的技術，利用混和兩套資料和標記來產生新的資料樣本",
     "training-tab-use-mixup-checkbox-label": "使用 Mixup",
+    "training-tab-warning-detached-classifier-append": "附加模式不適用於分離的分類器。",
     "validation-max-confidence-lower-than-min-confidence": "最大可信度必須大於最小可信度",
     "validation-no-audio-directory-selected": "請提供包含音檔的資料夾",
     "validation-no-cache-file-selected": "請選擇快取檔案。",
@@ -390,4 +392,4 @@
     "validation-no-valid-epoch-number": "請輸入有效的訓練期(eopch)數量",
     "validation-no-valid-frequency": "請輸入有效的頻率",
     "validation-no-valid-learning-rate": "請輸入有效的學習速率"
-}
+}
\ No newline at end of file