diff --git a/src/AIFotoONLUS.Core/AIFotoONLUS.Core.xml b/src/AIFotoONLUS.Core/AIFotoONLUS.Core.xml
index 39fc26a..4b6c8f2 100644
--- a/src/AIFotoONLUS.Core/AIFotoONLUS.Core.xml
+++ b/src/AIFotoONLUS.Core/AIFotoONLUS.Core.xml
@@ -139,6 +139,12 @@
             must match the class ordering used by the trained recognition network.
             </summary>
         </member>
+        <member name="P:AIFotoONLUS.Core.ModelConfiguration.UseGpu">
+            <summary>
+            When enabled, request OpenCV DNN CUDA backend/target for inference.
+            The installed OpenCV runtime must have CUDA support or model loading/forwarding may fail.
+            </summary>
+        </member>
         <member name="P:AIFotoONLUS.Core.ModelConfiguration.EnableCropSaving">
             <summary>
             When enabled, recognition crops will be saved to disk under
diff --git a/src/AIFotoONLUS.Core/ModelConfiguration.cs b/src/AIFotoONLUS.Core/ModelConfiguration.cs
index 0b0b553..51d7ac7 100644
--- a/src/AIFotoONLUS.Core/ModelConfiguration.cs
+++ b/src/AIFotoONLUS.Core/ModelConfiguration.cs
@@ -55,6 +55,12 @@ namespace AIFotoONLUS.Core
         /// </summary>
         public string[] NumberClasses { get; set; } = new[] { "0", "1", "2", "3", "4", "5", "6", "7", "8", "9" };
 
+        /// <summary>
+        /// When enabled, request OpenCV DNN CUDA backend/target for inference.
+        /// The installed OpenCV runtime must have CUDA support or model loading/forwarding may fail.
+        /// </summary>
+        public bool UseGpu { get; set; } = false;
+
         /// <summary>
         /// When enabled, recognition crops will be saved to disk under
         /// "logs/crops" for diagnostic inspection. Disabled by default.
diff --git a/src/AIFotoONLUS.Core/NumberRecognitionEngine.cs b/src/AIFotoONLUS.Core/NumberRecognitionEngine.cs
index b9b9284..affe8b3 100644
--- a/src/AIFotoONLUS.Core/NumberRecognitionEngine.cs
+++ b/src/AIFotoONLUS.Core/NumberRecognitionEngine.cs
@@ -95,10 +95,8 @@ namespace AIFotoONLUS.Core
             _detectionNet = CvDnn.ReadNetFromDarknet(_cfg.DetectionCfg, _cfg.DetectionWeights);
             _recognitionNet = CvDnn.ReadNetFromDarknet(_cfg.RecognitionCfg, _cfg.RecognitionWeights);
 
-            _detectionNet.SetPreferableBackend(Backend.OPENCV);
-            _detectionNet.SetPreferableTarget(Target.CPU);
-            _recognitionNet.SetPreferableBackend(Backend.OPENCV);
-            _recognitionNet.SetPreferableTarget(Target.CPU);
+            ConfigureNetRuntime(_detectionNet, _cfg.UseGpu);
+            ConfigureNetRuntime(_recognitionNet, _cfg.UseGpu);
             // Let OpenCV use multiple threads internally (use number of logical processors)
             try
             {
@@ -127,6 +125,19 @@ namespace AIFotoONLUS.Core
 
         private string[] GetOutputLayerNames(Net net) => net.GetUnconnectedOutLayersNames();
 
+        private static void ConfigureNetRuntime(Net net, bool useGpu)
+        {
+            if (useGpu)
+            {
+                net.SetPreferableBackend(Backend.CUDA);
+                net.SetPreferableTarget(Target.CUDA);
+                return;
+            }
+
+            net.SetPreferableBackend(Backend.OPENCV);
+            net.SetPreferableTarget(Target.CPU);
+        }
+
         /// <summary>
         /// Detect text regions in the supplied image using the detection network.
         /// </summary>
@@ -152,7 +163,7 @@ namespace AIFotoONLUS.Core
             var outNames = GetOutputLayerNames(detectionNet);
             var outsList = new List<Mat>();
             detectionNet.Forward(outsList, outNames);
-            
+
             Mat[] outs = outsList.ToArray();
             if (outs.Length == 0)
             {
@@ -162,15 +173,15 @@ namespace AIFotoONLUS.Core
                     var fallback = new List<Mat>();
                     for (int on = 0; on < outNames.Length; on++)
                     {
-                            try
-                            {
-                                var single = detectionNet.Forward(outNames[on]);
-                                fallback.Add(single);
-                            }
-                            catch (Exception ex)
-                            {
-                                _logger?.LogError(ex, "Fallback Forward failed for {name}", outNames[on]);
-                            }
+                        try
+                        {
+                            var single = detectionNet.Forward(outNames[on]);
+                            fallback.Add(single);
+                        }
+                        catch (Exception ex)
+                        {
+                            _logger?.LogError(ex, "Fallback Forward failed for {name}", outNames[on]);
+                        }
                     }
                     if (fallback.Count > 0)
                     {
@@ -221,21 +232,21 @@ namespace AIFotoONLUS.Core
                     }
 
                     if (maxScore > _cfg.ConfidenceThreshold)
-                        {
-                            int x = (int)Math.Max(0, Math.Round(cx - w / 2));
-                            int y = (int)Math.Max(0, Math.Round(cy - h / 2));
-                            var rect = new Rect(x, y, (int)Math.Round(w), (int)Math.Round(h));
-                            boxes.Add(rect);
-                            confidences.Add(maxScore);
-                            classIds.Add(bestClass);
-                            centerXList.Add(cx);
-                        }
+                    {
+                        int x = (int)Math.Max(0, Math.Round(cx - w / 2));
+                        int y = (int)Math.Max(0, Math.Round(cy - h / 2));
+                        var rect = new Rect(x, y, (int)Math.Round(w), (int)Math.Round(h));
+                        boxes.Add(rect);
+                        confidences.Add(maxScore);
+                        classIds.Add(bestClass);
+                        centerXList.Add(cx);
+                    }
                 }
             }
 
             if (boxes.Count == 0) return Enumerable.Empty<DetectedRegion>();
 
-            
+
 
             CvDnn.NMSBoxes(boxes, confidences, (float)_cfg.ConfidenceThreshold, (float)_cfg.NmsThreshold, out int[] indices);
 
@@ -486,10 +497,8 @@ namespace AIFotoONLUS.Core
             {
                 var det = CvDnn.ReadNetFromDarknet(_cfg.DetectionCfg, _cfg.DetectionWeights);
                 var rec = CvDnn.ReadNetFromDarknet(_cfg.RecognitionCfg, _cfg.RecognitionWeights);
-                det.SetPreferableBackend(Backend.OPENCV);
-                det.SetPreferableTarget(Target.CPU);
-                rec.SetPreferableBackend(Backend.OPENCV);
-                rec.SetPreferableTarget(Target.CPU);
+                ConfigureNetRuntime(det, _cfg.UseGpu);
+                ConfigureNetRuntime(rec, _cfg.UseGpu);
                 netsBag.Add((det, rec));
                 return (det, rec);
             });
@@ -525,8 +534,7 @@ namespace AIFotoONLUS.Core
                                     try
                                     {
                                         using var tempRec = CvDnn.ReadNetFromDarknet(_cfg.RecognitionCfg, _cfg.RecognitionWeights);
-                                        tempRec.SetPreferableBackend(Backend.OPENCV);
-                                        tempRec.SetPreferableTarget(Target.CPU);
+                                        ConfigureNetRuntime(tempRec, _cfg.UseGpu);
                                         var alt = RecognizeDigits(crop, tempRec, ctx);
                                         if (!string.IsNullOrEmpty(alt)) txt = alt;
                                     }