diff --git a/index.html b/index.html
index 62e4dda..3d3f2a9 100644
--- a/index.html
+++ b/index.html
@@ -41,6 +41,16 @@
       <span class="badge">Trunçgil AI</span>
     </div>
     <div class="titlebar-controls">
+      <!-- Language Switcher Selector -->
+      <div class="select-wrapper language-select-wrapper" style="width: 76px; height: 26px; margin-right: 8px; -webkit-app-region: no-drag;">
+        <select id="lang-select" style="padding: 2px 20px 2px 8px; font-size: 11px; height: 100%; border-radius: 6px; background: rgba(255,255,255,0.04); border-color: rgba(255,255,255,0.08); font-weight: 600;">
+          <option value="en">EN</option>
+          <option value="tr">TR</option>
+          <option value="de">DE</option>
+          <option value="ru">RU</option>
+          <option value="ar">AR</option>
+        </select>
+      </div>
       <button class="win-btn info-btn" id="btn-show-credits" title="Credits & Info">
         <svg width="13" height="13" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="10"></circle><line x1="12" y1="16" x2="12" y2="12"></line><line x1="12" y1="8" x2="12.01" y2="8"></line></svg>
       </button>
@@ -77,27 +87,27 @@
             <circle cx="12" cy="12" r="4" fill="url(#neon-grad)" opacity="0.3" />
           </svg>
         </div>
-        <h1>Initializing AI Engine</h1>
-        <p class="subtitle">Dekupai requires a local Python environment to run the BiRefNet neural network models.</p>
+        <h1 data-i18n="initWizardTitle">Initializing AI Engine</h1>
+        <p class="subtitle" data-i18n="initWizardSubtitle">Dekupai requires a local Python environment to run the BiRefNet neural network models.</p>
       </div>
 
       <div class="setup-progress-box glass-panel-inner">
         <div class="setup-steps">
           <div class="step-item" id="step-venv">
             <span class="step-dot"></span>
-            <span class="step-text">Creating isolated virtual environment (.venv)</span>
+            <span class="step-text" data-i18n="stepVenv">Creating isolated virtual environment (.venv)</span>
           </div>
           <div class="step-item" id="step-pip">
             <span class="step-dot"></span>
-            <span class="step-text">Upgrading Python package installer (pip)</span>
+            <span class="step-text" data-i18n="stepPip">Upgrading Python package installer (pip)</span>
           </div>
           <div class="step-item" id="step-deps">
             <span class="step-dot"></span>
-            <span class="step-text">Installing PyTorch AI Engine (CPU version)</span>
+            <span class="step-text" data-i18n="stepDeps">Installing PyTorch AI Engine (CPU version)</span>
           </div>
           <div class="step-item" id="step-libs">
             <span class="step-dot"></span>
-            <span class="step-text">Installing HuggingFace Transformers & PIL library</span>
+            <span class="step-text" data-i18n="stepLibs">Installing HuggingFace Transformers & PIL library</span>
           </div>
         </div>
 
@@ -109,7 +119,7 @@
 
       <div class="wizard-actions">
         <button class="btn btn-primary" id="btn-start-setup">
-          <span>Configure Engine (Automatic)</span>
+          <span data-i18n="configureEngine">Configure Engine (Automatic)</span>
           <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"
             stroke-linecap="round" stroke-linejoin="round">
             <polyline points="9 18 15 12 9 6"></polyline>
@@ -134,11 +144,11 @@
               <polyline points="21 15 16 10 5 21"></polyline>
             </svg>
           </div>
-          <h2>Drag & Drop Image Here</h2>
-          <p class="dropzone-sub">Supports PNG, JPG, JPEG, or WebP formats</p>
-          <div class="or-separator"><span>OR</span></div>
+          <h2 data-i18n="dragDropText">Drag & Drop Image Here</h2>
+          <p class="dropzone-sub" data-i18n="dragDropSub">Supports PNG, JPG, JPEG, or WebP formats</p>
+          <div class="or-separator"><span data-i18n="orText">OR</span></div>
           <button class="btn btn-glass" id="btn-browse">
-            <span>Browse Local Files</span>
+            <span data-i18n="browseFiles">Browse Local Files</span>
           </button>
         </div>
       </div>
@@ -215,7 +225,7 @@
               <path d="M4 3h16a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2z"></path>
               <path d="M8 8h8v8H8z"></path>
             </svg>
-            <span>Auto-Trim</span>
+            <span data-i18n="autoTrim">Auto-Trim</span>
           </button>
 
           <button class="ctrl-btn btn-danger-icon" id="ctrl-reset" title="Reset Image State">
@@ -234,27 +244,27 @@
       <section class="tower-group" id="sec-file-info">
         <div class="tower-heading">
           <span class="step-badge">1</span>
-          <h3>Source File</h3>
+          <h3 data-i18n="sourceFile">Source File</h3>
         </div>
         <div class="info-card glass-panel-inner" id="info-card-empty">
-          <p class="text-muted text-center py-2">No image loaded</p>
+          <p class="text-muted text-center py-2" data-i18n="noImage">No image loaded</p>
         </div>
         <div class="info-card glass-panel-inner hidden" id="info-card-loaded">
           <div class="info-row">
-            <span class="label">Name</span>
+            <span class="label" data-i18n="fileName">Name</span>
             <span class="val truncate" id="info-filename">-</span>
           </div>
           <div class="info-row">
-            <span class="label">Resolution</span>
+            <span class="label" data-i18n="fileResolution">Resolution</span>
             <span class="val" id="info-resolution">-</span>
           </div>
           <div class="info-row">
-            <span class="label">Size</span>
+            <span class="label" data-i18n="fileSize">Size</span>
             <span class="val" id="info-size">-</span>
           </div>
           <button class="btn btn-secondary btn-sm w-full" id="btn-change-image" style="margin-top: 10px; border-color: rgba(255, 122, 0, 0.2) !important;">
             <svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"></path><polyline points="17 8 12 3 7 8"></polyline><line x1="12" y1="3" x2="12" y2="15"></line></svg>
-            <span style="font-size: 11px;">Yeni Görsel Yükle</span>
+            <span style="font-size: 11px;" data-i18n="newImage">Import New Image</span>
           </button>
         </div>
       </section>
@@ -263,7 +273,7 @@
       <section class="tower-group" id="sec-ai-process">
         <div class="tower-heading">
           <span class="step-badge">2</span>
-          <h3>Background Removal</h3>
+          <h3 data-i18n="bgRemoval">Background Removal</h3>
         </div>
 
         <button class="btn btn-primary w-full" id="btn-remove-bg" disabled>
@@ -271,7 +281,7 @@
             stroke-linecap="round" stroke-linejoin="round">
             <path d="M21 16V8a2 2 0 0 0-2-2h-5m-9 0h5M3 8v8a2 2 0 0 0 2 2h8m9 0h-5"></path>
           </svg>
-          <span>Extract Subject</span>
+          <span data-i18n="extractSubject">Extract Subject</span>
         </button>
 
         <!-- Loader panel inside -->
@@ -282,8 +292,8 @@
               <circle cx="25" cy="25" r="20" fill="none" stroke-width="4"></circle>
             </svg>
           </div>
-          <div class="loader-text" id="loader-text">Initializing AI Model...</div>
-          <div class="loader-subtext" id="loader-subtext">First launch downloads model (~200MB)</div>
+          <div class="loader-text" id="loader-text" data-i18n="initAI">Initializing AI Model...</div>
+          <div class="loader-subtext" id="loader-subtext" data-i18n="loadingWeights">First launch downloads model (~200MB)</div>
         </div>
       </section>
 
@@ -291,24 +301,24 @@
       <section class="tower-group disabled-group" id="sec-canvas-bg">
         <div class="tower-heading">
           <span class="step-badge">3</span>
-          <h3>Background Settings</h3>
+          <h3 data-i18n="bgSettings">Background Settings</h3>
         </div>
 
         <div class="bg-mode-tabs glass-panel-inner">
           <button class="bg-tab active" data-mode="transparent" id="tab-bg-trans">
-            <span>Transparent</span>
+            <span data-i18n="transparent">Transparent</span>
           </button>
           <button class="bg-tab" data-mode="solid" id="tab-bg-solid">
-            <span>Solid Color</span>
+            <span data-i18n="solidColor">Solid Color</span>
           </button>
           <button class="bg-tab" data-mode="gradient" id="tab-bg-grad">
-            <span>Gradient</span>
+            <span data-i18n="gradient">Gradient</span>
           </button>
         </div>
 
         <!-- Solid Colors Panel -->
         <div class="bg-settings-subpanel hidden" id="subpanel-solid">
-          <label class="panel-sublabel">Select Solid Fill</label>
+          <label class="panel-sublabel" data-i18n="selectSolid">Select Solid Fill</label>
           <div class="color-swatches-grid">
             <button class="swatch white active" data-color="#ffffff"></button>
             <button class="swatch black" data-color="#000000"></button>
@@ -328,7 +338,7 @@
 
         <!-- Gradients Panel -->
         <div class="bg-settings-subpanel hidden" id="subpanel-gradient">
-          <label class="panel-sublabel">Select High-End Gradient</label>
+          <label class="panel-sublabel" data-i18n="selectGrad">Select High-End Gradient</label>
           <div class="gradient-swatches-grid">
             <button class="grad-swatch grad-1 active" data-gradient="linear-gradient(135deg, #a78bfa, #06b6d4)"
               title="Violet Cyan Glow"></button>
@@ -350,12 +360,12 @@
       <section class="tower-group disabled-group" id="sec-export">
         <div class="tower-heading">
           <span class="step-badge">4</span>
-          <h3>Export Studio</h3>
+          <h3 data-i18n="exportStudio">Export Studio</h3>
         </div>
 
         <div class="export-settings-box glass-panel-inner">
           <div class="settings-row">
-            <label for="export-format">Format</label>
+            <label for="export-format" data-i18n="format">Format</label>
             <div class="select-wrapper">
               <select id="export-format">
                 <option value="png">PNG (Lossless)</option>
@@ -367,7 +377,7 @@
 
           <div class="settings-row hidden" id="row-quality-slider">
             <div class="slider-labels">
-              <label for="export-quality">Quality</label>
+              <label for="export-quality" data-i18n="quality">Quality</label>
               <span class="slider-val" id="export-quality-val">90%</span>
             </div>
             <input type="range" id="export-quality" min="10" max="100" value="90">
@@ -381,7 +391,7 @@
             <polyline points="7 10 12 15 17 10"></polyline>
             <line x1="12" y1="15" x2="12" y2="3"></line>
           </svg>
-          <span>Export Masterpiece</span>
+          <span data-i18n="exportMasterpiece">Export Masterpiece</span>
         </button>
       </section>
     </aside>
@@ -412,20 +422,20 @@
         <div style="font-size: 11px; font-weight: 700; color: #ff7a00; letter-spacing: 1.5px; margin-bottom: 12px; text-transform: uppercase;">Version 1.0.0</div>
         
         <div class="glass-panel-inner" style="margin-top: 14px; text-align: center; display: flex; flex-direction: column; gap: 10px; padding: 20px !important;">
-          <p style="font-size: 13px; color: var(--text-muted); font-weight: 500;">Developed under the vision of</p>
+          <p style="font-size: 13px; color: var(--text-muted); font-weight: 500;" data-i18n="creditsVision">Developed under the vision of</p>
           <h2 style="font-family: var(--font-heading); font-size: 22px; font-weight: 800; color: #ff7a00; text-shadow: 0 0 12px rgba(255, 122, 0, 0.35);">Trunçgil Teknoloji</h2>
-          <p style="font-size: 12px; color: var(--text-muted-dark); line-height: 1.4;">by the engineering expertise of</p>
+          <p style="font-size: 12px; color: var(--text-muted-dark); line-height: 1.4;" data-i18n="creditsExpertise">by the engineering expertise of</p>
           <h3 style="font-family: var(--font-heading); font-size: 19px; font-weight: 700; color: #fff;">Ümit Tunç</h3>
         </div>
 
-        <div style="margin-top: 16px; font-size: 12px; color: var(--text-muted-dark); line-height: 1.5; padding: 0 10px;">
+        <div style="margin-top: 16px; font-size: 12px; color: var(--text-muted-dark); line-height: 1.5; padding: 0 10px;" data-i18n="creditsDesc">
           Dekupai is an advanced deep-learning desktop workspace that provides local, high-precision background removal using BiRefNet neural segmentation networks.
         </div>
       </div>
 
       <div class="wizard-actions" style="margin-top: 10px; width: 100%;">
         <button class="btn btn-secondary w-full" id="btn-close-credits">
-          <span>Close Credits</span>
+          <span data-i18n="closeCredits">Close Credits</span>
         </button>
       </div>
     </div>
diff --git a/main.js b/main.js
index 3f5aec1..117913f 100644
--- a/main.js
+++ b/main.js
@@ -17,7 +17,8 @@ function createWindow() {
     webPreferences: {
       preload: path.join(__dirname, 'preload.js'),
       contextIsolation: true,
-      nodeIntegration: false
+      nodeIntegration: false,
+      webSecurity: false // Disabled to allow canvas pixel reading on local file:// assets for Auto-Trim
     }
   });
 
diff --git a/renderer.js b/renderer.js
index 002f5e9..d578809 100644
--- a/renderer.js
+++ b/renderer.js
@@ -33,6 +33,7 @@ const elements = {
   btnShowCredits: document.getElementById('btn-show-credits'),
   creditsOverlay: document.getElementById('credits-overlay'),
   btnCloseCredits: document.getElementById('btn-close-credits'),
+  langSelect: document.getElementById('lang-select'),
   
   // Setup Wizard
   setupOverlay: document.getElementById('setup-overlay'),
@@ -106,6 +107,7 @@ const elements = {
 document.addEventListener('DOMContentLoaded', async () => {
   setupTitlebarListeners();
   setupToastListeners();
+  initLanguage(); // Initialize translations immediately on load
   
   // Check if Python virtual environment exists
   const { hasVenv } = await window.api.checkPythonSetup();
@@ -424,18 +426,25 @@ function setupToolbarListeners() {
 function autoTrimTransparent() {
   if (!cropper || !processedTempPath) return;
 
-  // We request canvas size matching the full uncropped image dimension
-  const canvas = cropper.getCroppedCanvas({
-    width: cropper.getImageData().naturalWidth,
-    height: cropper.getImageData().naturalHeight
-  });
+  // Create a temporary hidden canvas to read pixels directly from the original image element
+  // This bypasses any cropper canvas restrictions or CORS issues when webSecurity is false
+  const canvas = document.createElement('canvas');
+  const img = elements.imageElement;
+
+  canvas.width = img.naturalWidth;
+  canvas.height = img.naturalHeight;
+
+  const ctx = canvas.getContext('2d');
   
-  if (!canvas) {
-    showToast("Trim Warning", "Could not analyze transparent boundaries.", "error");
+  try {
+    ctx.drawImage(img, 0, 0);
+  } catch (err) {
+    const title = getTrans('toastTrimFailed');
+    const msg = getTrans('toastTrimFailedMsg') + ": " + err.message;
+    showToast(title, msg, "error");
     return;
   }
 
-  const ctx = canvas.getContext('2d');
   const imgData = ctx.getImageData(0, 0, canvas.width, canvas.height);
   const data = imgData.data;
   
@@ -445,11 +454,11 @@ function autoTrimTransparent() {
   let maxY = 0;
   let foundAlpha = false;
 
-  // Loop through pixels in grid to find bounding box of non-transparent values
+  // Scan alpha channel (index + 3) to locate non-empty boundaries
   for (let y = 0; y < canvas.height; y++) {
     for (let x = 0; x < canvas.width; x++) {
       const alphaIndex = (y * canvas.width + x) * 4 + 3;
-      if (data[alphaIndex] > 8) { // Alpha transparency cut-off
+      if (data[alphaIndex] > 8) { // transparency threshold
         if (x < minX) minX = x;
         if (x > maxX) maxX = x;
         if (y < minY) minY = y;
@@ -460,16 +469,21 @@ function autoTrimTransparent() {
   }
 
   if (foundAlpha) {
-    // Add small padding to avoid clipping exactly
+    // Add small padding to avoid clipping edge pixels exactly
     const pad = 10;
     minX = Math.max(0, minX - pad);
     minY = Math.max(0, minY - pad);
     maxX = Math.min(canvas.width, maxX + pad);
     maxY = Math.min(canvas.height, maxY + pad);
 
+    // Turn on Crop selection mode visual indicators
+    cropper.setDragMode('crop');
+    elements.ctrlCropDrag.classList.remove('active');
+    elements.ctrlCropBox.classList.add('active');
+
     // Convert pixel coordinates to Cropper canvas boundaries
     const canvasData = cropper.getCanvasData();
-    const scale = canvasData.width / cropper.getImageData().naturalWidth;
+    const scale = canvasData.width / img.naturalWidth;
     
     // Set crop boundaries
     cropper.setCropBoxData({
@@ -479,17 +493,342 @@ function autoTrimTransparent() {
       height: (maxY - minY) * scale
     });
     
-    // Switch to crop selection mode visual indicator
-    cropper.setDragMode('crop');
-    elements.ctrlCropDrag.classList.remove('active');
-    elements.ctrlCropBox.classList.add('active');
-
-    showToast("Auto-Trim Complete", "Crop boundaries adjusted securely around subject.", "success");
+    showToast(getTrans('toastTrimComplete'), getTrans('toastTrimCompleteMsg'), "success");
   } else {
-    showToast("Trim Info", "No transparent border boundaries identified.", "info");
+    showToast(getTrans('toastTitleInfo'), getTrans('toastTrimFailedMsg'), "info");
   }
 }
 
+// --- LOCALIZATION ENGINE (i18n) ---
+const TRANSLATIONS = {
+  en: {
+    title: "Dekupai - Trunçgil AI Decoupage",
+    sourceFile: "Source File",
+    noImage: "No image loaded",
+    fileName: "Name",
+    fileResolution: "Resolution",
+    fileSize: "Size",
+    newImage: "Import New Image",
+    bgRemoval: "Background Removal",
+    extractSubject: "Extract Subject",
+    initAI: "Initializing AI Model...",
+    loadingWeights: "First launch downloads model (~200MB)",
+    bgSettings: "Background Settings",
+    transparent: "Transparent",
+    solidColor: "Solid Color",
+    gradient: "Gradient",
+    selectSolid: "Select Solid Fill",
+    selectGrad: "Select High-End Gradient",
+    exportStudio: "Export Studio",
+    format: "Format",
+    quality: "Quality",
+    exportMasterpiece: "Export Masterpiece",
+    toastTitleInfo: "Info",
+    toastTitleSuccess: "Success",
+    toastTitleError: "Error",
+    toastImageChanged: "Image Changed",
+    toastImageChangedMsg: "Workspace cleared. Ready for a new image.",
+    toastTrimComplete: "Auto-Trim Complete",
+    toastTrimCompleteMsg: "Crop boundaries adjusted securely.",
+    toastTrimFailed: "Trim Warning",
+    toastTrimFailedMsg: "Could not analyze transparent boundaries.",
+    toastSetupSuccess: "Setup Success",
+    toastSetupSuccessMsg: "Python environment is fully configured.",
+    toastSetupError: "Setup Error",
+    toastSetupErrorMsg: "Failed to configure Python environment.",
+    initWizardTitle: "Initializing AI Engine",
+    initWizardSubtitle: "Dekupai requires a local Python environment to run the BiRefNet neural network models.",
+    configureEngine: "Configure Engine (Automatic)",
+    stepVenv: "Creating isolated virtual environment (.venv)",
+    stepPip: "Upgrading Python package installer (pip)",
+    stepDeps: "Installing PyTorch AI Engine (CPU version)",
+    stepLibs: "Installing HuggingFace Transformers & PIL library",
+    creditsVision: "Developed under the vision of",
+    creditsExpertise: "by the engineering expertise of",
+    creditsDesc: "Dekupai is an advanced deep-learning desktop workspace that provides local, high-precision background removal using BiRefNet neural segmentation networks.",
+    closeCredits: "Close Credits",
+    dragDropText: "Drag & Drop Image Here",
+    dragDropSub: "Supports PNG, JPG, JPEG, or WebP formats",
+    orText: "OR",
+    browseFiles: "Browse Local Files",
+    autoTrim: "Auto-Trim"
+  },
+  tr: {
+    title: "Dekupai - Trunçgil AI Dekupaj",
+    sourceFile: "Kaynak Dosya",
+    noImage: "Görsel yüklenmedi",
+    fileName: "Dosya Adı",
+    fileResolution: "Çözünürlük",
+    fileSize: "Boyut",
+    newImage: "Yeni Görsel Yükle",
+    bgRemoval: "Arka Plan Temizleme",
+    extractSubject: "Özneyi Dekupe Et",
+    initAI: "AI Modeli Başlatılıyor...",
+    loadingWeights: "İlk çalıştırmada model indirilir (~200MB)",
+    bgSettings: "Arka Plan Ayarları",
+    transparent: "Şeffaf",
+    solidColor: "Tek Renk",
+    gradient: "Degrade",
+    selectSolid: "Düz Renk Seçin",
+    selectGrad: "Premium Degrade Seçin",
+    exportStudio: "Dışa Aktarma Stüdyosu",
+    format: "Format",
+    quality: "Kalite",
+    exportMasterpiece: "Çalışmayı Dışa Aktar",
+    toastTitleInfo: "Bilgi",
+    toastTitleSuccess: "Başarılı",
+    toastTitleError: "Hata",
+    toastImageChanged: "Görsel Değiştirildi",
+    toastImageChangedMsg: "Çalışma alanı temizlendi. Yeni görsel için hazır.",
+    toastTrimComplete: "Otomatik Kırpma Tamamlandı",
+    toastTrimCompleteMsg: "Kırpma sınırları güvenli bir şekilde ayarlandı.",
+    toastTrimFailed: "Kırpma Uyarısı",
+    toastTrimFailedMsg: "Şeffaf sınırlar analiz edilemedi.",
+    toastSetupSuccess: "Kurulum Başarılı",
+    toastSetupSuccessMsg: "Python ortamı tamamen yapılandırıldı.",
+    toastSetupError: "Kurulum Hatası",
+    toastSetupErrorMsg: "Python ortamı yapılandırılamadı.",
+    initWizardTitle: "AI Motoru Başlatılıyor",
+    initWizardSubtitle: "Dekupai, BiRefNet yapay zeka modelini çalıştırmak için yerel bir Python ortamına ihtiyaç duyar.",
+    configureEngine: "Motoru Yapılandır (Otomatik)",
+    stepVenv: "İzole sanal ortam oluşturuluyor (.venv)",
+    stepPip: "Python paket yöneticisi güncelleniyor (pip)",
+    stepDeps: "PyTorch AI motoru kuruluyor (CPU versiyonu)",
+    stepLibs: "HuggingFace Transformers ve PIL kuruluyor",
+    creditsVision: "Vizyon ve liderlik",
+    creditsExpertise: "yazılım geliştirme ve mühendislik",
+    creditsDesc: "Dekupai, BiRefNet yapay sinir ağı segmentasyon modellerini kullanarak yerel ve yüksek hassasiyetli arka plan temizleme sağlayan gelişmiş bir derin öğrenme masaüstü uygulamasıdır.",
+    closeCredits: "Kapat",
+    dragDropText: "Görseli Buraya Sürükleyip Bırakın",
+    dragDropSub: "PNG, JPG, JPEG veya WebP formatlarını destekler",
+    orText: "VEYA",
+    browseFiles: "Yerel Dosyalara Göz Atın",
+    autoTrim: "Oto-Kırp"
+  },
+  de: {
+    title: "Dekupai - Trunçgil AI Dekupage",
+    sourceFile: "Quelldatei",
+    noImage: "Kein Bild geladen",
+    fileName: "Dateiname",
+    fileResolution: "Auflösung",
+    fileSize: "Größe",
+    newImage: "Neues Bild Laden",
+    bgRemoval: "Hintergrundentfernung",
+    extractSubject: "Motiv Freistellen",
+    initAI: "AI-Modell wird initialisiert...",
+    loadingWeights: "Erster Start lädt Modell herunter (~200MB)",
+    bgSettings: "Hintergrundeinstellungen",
+    transparent: "Transparent",
+    solidColor: "Vollfarbe",
+    gradient: "Verlauf",
+    selectSolid: "Volltonfarbe wählen",
+    selectGrad: "Premium-Verlauf wählen",
+    exportStudio: "Export Studio",
+    format: "Format",
+    quality: "Qualität",
+    exportMasterpiece: "Meisterwerk Exportieren",
+    toastTitleInfo: "Info",
+    toastTitleSuccess: "Erfolg",
+    toastTitleError: "Fehler",
+    toastImageChanged: "Bild Geändert",
+    toastImageChangedMsg: "Arbeitsbereich geleert. Bereit für neues Bild.",
+    toastTrimComplete: "Auto-Zuschneiden Fertig",
+    toastTrimCompleteMsg: "Zuschnittsgrenzen sicher angepasst.",
+    toastTrimFailed: "Zuschnitt Warnung",
+    toastTrimFailedMsg: "Transparente Grenzen konnten nicht analysiert werden.",
+    toastSetupSuccess: "Setup erfolgreich",
+    toastSetupSuccessMsg: "Python-Umgebung ist vollständig konfiguriert.",
+    toastSetupError: "Setup-Fehler",
+    toastSetupErrorMsg: "Konfiguration der Python-Umgebung fehlgeschlagen.",
+    initWizardTitle: "AI-Engine wird initialisiert",
+    initWizardSubtitle: "Dekupai erfordert eine lokale Python-Umgebung, um die BiRefNet-Modelle auszuführen.",
+    configureEngine: "Engine konfigurieren (Automatisch)",
+    stepVenv: "Erstellen einer isolierten virtuellen Umgebung (.venv)",
+    stepPip: "Upgrade des Python-Paketinstallers (pip)",
+    stepDeps: "Installation der PyTorch AI-Engine (CPU-Version)",
+    stepLibs: "Installation der HuggingFace Transformers & PIL Bibliothek",
+    creditsVision: "Entwickelt unter der Vision von",
+    creditsExpertise: "durch die Software-Expertise von",
+    creditsDesc: "Dekupai ist ein fortschrittlicher Deep-Learning-Desktop-Arbeitsbereich, der eine lokale, hochpräzise Hintergrundentfernung mithilfe von BiRefNet-Segmentierungsnetzwerken bietet.",
+    closeCredits: "Schließen",
+    dragDropText: "Bild hierher ziehen und ablegen",
+    dragDropSub: "Unterstützt PNG-, JPG-, JPEG- oder WebP-Formate",
+    orText: "ODER",
+    browseFiles: "Lokale Dateien durchsuchen",
+    autoTrim: "Auto-Trim"
+  },
+  ru: {
+    title: "Dekupai - Trunçgil AI Декупаж",
+    sourceFile: "Исходный файл",
+    noImage: "Изображение не загружено",
+    fileName: "Имя",
+    fileResolution: "Разрешение",
+    fileSize: "Размер",
+    newImage: "Загрузить новое изображение",
+    bgRemoval: "Удаление фона",
+    extractSubject: "Вырезать объект",
+    initAI: "Инициализация модели ИИ...",
+    loadingWeights: "Первый запуск загружает модель (~200 МБ)",
+    bgSettings: "Настройки фона",
+    transparent: "Прозрачный",
+    solidColor: "Сплошной цвет",
+    gradient: "Градиент",
+    selectSolid: "Выберите сплошной цвет",
+    selectGrad: "Выберите премиум градиент",
+    exportStudio: "Студия экспорта",
+    format: "Формат",
+    quality: "Качество",
+    exportMasterpiece: "Экспортировать шедевр",
+    toastTitleInfo: "Информация",
+    toastTitleSuccess: "Успех",
+    toastTitleError: "Ошибка",
+    toastImageChanged: "Изображение изменено",
+    toastImageChangedMsg: "Рабочая область очищена. Готово к новому изображению.",
+    toastTrimComplete: "Автообрезка завершена",
+    toastTrimCompleteMsg: "Границы обрезки успешно скорректированы.",
+    toastTrimFailed: "Предупреждение об обрезке",
+    toastTrimFailedMsg: "Не удалось проанализировать прозрачные границы.",
+    toastSetupSuccess: "Установка успешна",
+    toastSetupSuccessMsg: "Среда Python полностью настроена.",
+    toastSetupError: "Ошибка установки",
+    toastSetupErrorMsg: "Не удалось настроить среду Python.",
+    initWizardTitle: "Инициализация движка ИИ",
+    initWizardSubtitle: "Для работы Dekupai требуется локальная среда Python для запуска нейросетевых моделей BiRefNet.",
+    configureEngine: "Настроить движок (Автоматически)",
+    stepVenv: "Создание изолированной виртуальной среды (.venv)",
+    stepPip: "Обновление установщика пакетов Python (pip)",
+    stepDeps: "Установка движка ИИ PyTorch (версия для CPU)",
+    stepLibs: "Установка библиотек HuggingFace Transformers и PIL",
+    creditsVision: "Разработано под руководством",
+    creditsExpertise: "программная инженерия и разработка",
+    creditsDesc: "Dekupai — это продвинутое настольное приложение для глубокого обучения, обеспечивающее локальное высокоточное удаление фона с использованием моделей сегментации BiRefNet.",
+    closeCredits: "Закрыть",
+    dragDropText: "Перетащите изображение сюда",
+    dragDropSub: "Поддерживает форматы PNG, JPG, JPEG или WebP",
+    orText: "ИЛИ",
+    browseFiles: "Обзор локальных файлов",
+    autoTrim: "Автообрезка"
+  },
+  ar: {
+    title: "Dekupai - Trunçgil AI إزالة الخلفية",
+    sourceFile: "الملف المصدر",
+    noImage: "لم يتم تحميل أي صورة",
+    fileName: "الاسم",
+    fileResolution: "الدقة",
+    fileSize: "الحجم",
+    newImage: "تحميل صورة جديدة",
+    bgRemoval: "إزالة الخلفية",
+    extractSubject: "استخراج العنصر",
+    initAI: "تهيئة نموذج الذكاء الاصطناعي...",
+    loadingWeights: "التشغيل الأول يقوم بتحميل النموذج (~200 ميجابايت)",
+    bgSettings: "إعدادات الخلفية",
+    transparent: "شفاف",
+    solidColor: "لون موحد",
+    gradient: "تدرج لوني",
+    selectSolid: "اختر لوناً موحداً",
+    selectGrad: "اختر تدرجاً لونيًا فاخرًا",
+    exportStudio: "استوديو التصدير",
+    format: "الصيغة",
+    quality: "الجودة",
+    exportMasterpiece: "تصدير العمل الفني",
+    toastTitleInfo: "معلومات",
+    toastTitleSuccess: "نجاح",
+    toastTitleError: "خطأ",
+    toastImageChanged: "تم تغيير الصورة",
+    toastImageChangedMsg: "تم مسح مساحة العمل. جاهز لصورة جديدة.",
+    toastTrimComplete: "اكتمل القص التلقائي",
+    toastTrimCompleteMsg: "تم ضبط حدود القص بأمان حول العنصر.",
+    toastTrimFailed: "تحذير القص",
+    toastTrimFailedMsg: "تعذر تحليل الحدود الشفافة.",
+    toastSetupSuccess: "نجاح التهيئة",
+    toastSetupSuccessMsg: "تم تكوين بيئة بايثون بنجاح.",
+    toastSetupError: "خطأ في التهيئة",
+    toastSetupErrorMsg: "فشل تكوين بيئة بايثون.",
+    initWizardTitle: "تهيئة محرك الذكاء الاصطناعي",
+    initWizardSubtitle: "يتطلب Dekupai بيئة بايثون محلية لتشغيل نماذج الشبكة العصبية BiRefNet.",
+    configureEngine: "تكوين المحرك (تلقائي)",
+    stepVenv: "إنشاء بيئة افتراضية معزولة (.venv)",
+    stepPip: "ترقية مثبت حزم بايثون (pip)",
+    stepDeps: "تثبيت محرك الذكاء الاصطناعي PyTorch (نسخة المعالج CPU)",
+    stepLibs: "تثبيت مكتبة HuggingFace Transformers و PIL",
+    creditsVision: "تم التطوير تحت رؤية",
+    creditsExpertise: "بواسطة الخبرة البرمجية والهندسية لـ",
+    creditsDesc: "Dekupai هو مساحة عمل متقدمة للتعلم العميق توفر إزالة محلية ودقيقة للغاية للخلفيات باستخدام نماذج BiRefNet.",
+    closeCredits: "إغلاق",
+    dragDropText: "اسحب وأسقط الصورة هنا",
+    dragDropSub: "يدعم صيغ PNG أو JPG أو JPEG أو WebP",
+    orText: "أو",
+    browseFiles: "تصفح الملفات المحلية",
+    autoTrim: "قص تلقائي"
+  }
+};
+
+let currentLang = 'en'; // default English base language
+
+function changeLanguage(lang) {
+  currentLang = lang;
+  localStorage.setItem('dekupai_lang', lang);
+  
+  if (elements.langSelect) {
+    elements.langSelect.value = lang;
+  }
+  
+  // Update HTML elements marked with data-i18n
+  document.querySelectorAll('[data-i18n]').forEach(el => {
+    const key = el.getAttribute('data-i18n');
+    if (TRANSLATIONS[lang] && TRANSLATIONS[lang][key]) {
+      // If element contains an inner span for icon text
+      const span = el.querySelector('span');
+      if (span) {
+        span.innerText = TRANSLATIONS[lang][key];
+      } else if (el.tagName === 'OPTION') {
+        el.innerText = TRANSLATIONS[lang][key];
+      } else {
+        // Preserving SVG structure inside tags
+        const svg = el.querySelector('svg');
+        if (svg) {
+          // If it has SVG, clear other text and append text node safely
+          const textNodes = Array.from(el.childNodes).filter(node => node.nodeType === Node.TEXT_NODE);
+          if (textNodes.length > 0) {
+            textNodes[textNodes.length - 1].nodeValue = " " + TRANSLATIONS[lang][key];
+          } else {
+            el.appendChild(document.createTextNode(" " + TRANSLATIONS[lang][key]));
+          }
+        } else {
+          el.innerText = TRANSLATIONS[lang][key];
+        }
+      }
+    }
+  });
+
+  // Handle RTL for Arabic
+  if (lang === 'ar') {
+    document.body.dir = 'rtl';
+  } else {
+    document.body.dir = 'ltr';
+  }
+
+  // Update original title
+  document.title = TRANSLATIONS[lang].title;
+}
+
+function getTrans(key) {
+  return (TRANSLATIONS[currentLang] && TRANSLATIONS[currentLang][key]) || TRANSLATIONS['en'][key] || key;
+}
+
+function initLanguage() {
+  const savedLang = localStorage.getItem('dekupai_lang') || 'en';
+  
+  if (elements.langSelect) {
+    elements.langSelect.value = savedLang;
+    elements.langSelect.addEventListener('change', (e) => {
+      changeLanguage(e.target.value);
+    });
+  }
+  
+  changeLanguage(savedLang);
+}
+
 // --- CONTROL TOWER CONTROLLER ---
 function setupControlTowerListeners() {
   // Remove Background click