diff --git a/machine-learning/immich_ml/models/constants.py b/machine-learning/immich_ml/models/constants.py
index 10a4ae48a9..db9e7cfa4d 100644
--- a/machine-learning/immich_ml/models/constants.py
+++ b/machine-learning/immich_ml/models/constants.py
@@ -78,6 +78,14 @@ _INSIGHTFACE_MODELS = {
 _PADDLE_MODELS = {
     "PP-OCRv5_server",
     "PP-OCRv5_mobile",
+    "CH__PP-OCRv5_server",
+    "CH__PP-OCRv5_mobile",
+    "EL__PP-OCRv5_mobile",
+    "EN__PP-OCRv5_mobile",
+    "ESLAV__PP-OCRv5_mobile",
+    "KOREAN__PP-OCRv5_mobile",
+    "LATIN__PP-OCRv5_mobile",
+    "TH__PP-OCRv5_mobile",
 }
 
 SUPPORTED_PROVIDERS = [
diff --git a/machine-learning/immich_ml/models/ocr/detection.py b/machine-learning/immich_ml/models/ocr/detection.py
index 0a9d09b599..07a2f3cce2 100644
--- a/machine-learning/immich_ml/models/ocr/detection.py
+++ b/machine-learning/immich_ml/models/ocr/detection.py
@@ -23,7 +23,7 @@ class TextDetector(InferenceModel):
     identity = (ModelType.DETECTION, ModelTask.OCR)
 
     def __init__(self, model_name: str, **model_kwargs: Any) -> None:
-        super().__init__(model_name, **model_kwargs, model_format=ModelFormat.ONNX)
+        super().__init__(model_name.split("__")[-1], **model_kwargs, model_format=ModelFormat.ONNX)
         self.max_resolution = 736
         self.mean = np.array([0.5, 0.5, 0.5], dtype=np.float32)
         self.std_inv = np.float32(1.0) / (np.array([0.5, 0.5, 0.5], dtype=np.float32) * 255.0)
diff --git a/machine-learning/immich_ml/models/ocr/recognition.py b/machine-learning/immich_ml/models/ocr/recognition.py
index 0f91fc4105..af3f99dbdb 100644
--- a/machine-learning/immich_ml/models/ocr/recognition.py
+++ b/machine-learning/immich_ml/models/ocr/recognition.py
@@ -25,6 +25,7 @@ class TextRecognizer(InferenceModel):
     identity = (ModelType.RECOGNITION, ModelTask.OCR)
 
     def __init__(self, model_name: str, **model_kwargs: Any) -> None:
+        self.language = LangRec[model_name.split("__")[0]] if "__" in model_name else LangRec.CH
         self.min_score = model_kwargs.get("minScore", 0.9)
         self._empty: TextRecognitionOutput = {
             "box": np.empty(0, dtype=np.float32),
@@ -41,7 +42,7 @@ class TextRecognizer(InferenceModel):
                 engine_type=EngineType.ONNXRUNTIME,
                 ocr_version=OCRVersion.PPOCRV5,
                 task_type=TaskType.REC,
-                lang_type=LangRec.CH,
+                lang_type=self.language,
                 model_type=RapidModelType.MOBILE if "mobile" in self.model_name else RapidModelType.SERVER,
             )
         )
@@ -61,6 +62,7 @@ class TextRecognizer(InferenceModel):
                 session=session.session,
                 rec_batch_num=settings.max_batch_size.text_recognition if settings.max_batch_size is not None else 6,
                 rec_img_shape=(3, 48, 320),
+                lang_type=self.language,
             )
         )
         return session
diff --git a/machine-learning/immich_ml/models/ocr/schemas.py b/machine-learning/immich_ml/models/ocr/schemas.py
index a63c8dd8e5..78e8619a0b 100644
--- a/machine-learning/immich_ml/models/ocr/schemas.py
+++ b/machine-learning/immich_ml/models/ocr/schemas.py
@@ -20,8 +20,8 @@ class TextRecognitionOutput(TypedDict):
 
 # RapidOCR expects `engine_type`, `lang_type`, and `font_path` to be attributes
 class OcrOptions(dict[str, Any]):
-    def __init__(self, **options: Any) -> None:
+    def __init__(self, lang_type: LangRec | None = None, **options: Any) -> None:
         super().__init__(**options)
         self.engine_type = EngineType.ONNXRUNTIME
-        self.lang_type = LangRec.CH
+        self.lang_type = lang_type
         self.font_path = None
diff --git a/web/src/lib/components/admin-settings/MachineLearningSettings.svelte b/web/src/lib/components/admin-settings/MachineLearningSettings.svelte
index 7649ee8d17..e05b5088a4 100644
--- a/web/src/lib/components/admin-settings/MachineLearningSettings.svelte
+++ b/web/src/lib/components/admin-settings/MachineLearningSettings.svelte
@@ -275,8 +275,14 @@
             name="ocr-model"
             bind:value={config.machineLearning.ocr.modelName}
             options={[
-              { value: 'PP-OCRv5_server', text: 'PP-OCRv5_server' },
-              { value: 'PP-OCRv5_mobile', text: 'PP-OCRv5_mobile' },
+              { text: 'PP-OCRv5_server (Chinese, Japanese and English)', value: 'PP-OCRv5_server' },
+              { text: 'PP-OCRv5_mobile (Chinese, Japanese and English)', value: 'PP-OCRv5_mobile' },
+              { text: 'PP-OCRv5_mobile (English-only)', value: 'EN__PP-OCRv5_mobile' },
+              { text: 'PP-OCRv5_mobile (Greek and English)', value: 'EL__PP-OCRv5_mobile' },
+              { text: 'PP-OCRv5_mobile (Korean and English)', value: 'KOREAN__PP-OCRv5_mobile' },
+              { text: 'PP-OCRv5_mobile (Latin script languages)', value: 'LATIN__PP-OCRv5_mobile' },
+              { text: 'PP-OCRv5_mobile (Russian, Belarusian, Ukrainian and English)', value: 'ESLAV__PP-OCRv5_mobile' },
+              { text: 'PP-OCRv5_mobile (Thai and English)', value: 'TH__PP-OCRv5_mobile' },
             ]}
             disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.ocr.enabled}
             isEdited={config.machineLearning.ocr.modelName !== savedConfig.machineLearning.ocr.modelName}