fix margins

- Add Vocabularies page with searchable, level-grouped grid
- Implement multi-faceted filter system (word type, verb class, transitivity, reading ending, character count)
- Add male/female voice audio playback via WaniKani pronunciation data
- Display context sentences from WaniKani API
- Collapsible mnemonics section in detail modal
- Component kanji chips navigate to Collection with pre-filled search
- Vocabulary sync uses upsert to keep data fresh (audio, sentences, normalized POS)
- Add Vocabulary model, controller, service, and API route
- Add seed data with 28 vocabulary entries including transitive/intransitive verb pairs
- Full i18n support (EN, DE, JA) for all new UI elements

.gitea/workflows/release.yaml

@@ -77,7 +77,9 @@ jobs:
 
       - name: Sync Capacitor to Android
         working-directory: client
-        run: npx cap sync android
+        run: |
+          npx cap add android
+          npx cap sync android
 
       - name: Decode Keystore
         run: |

client/src/App.vue

@@ -36,6 +36,16 @@
             v-list-item-title.font-weight-bold
               ScrambleText(:text="$t('nav.collection')")
 
+          v-list-item.mb-2(
+            to="/vocabularies"
+            rounded="lg"
+            :active="$route.path === '/vocabularies'"
+          )
+            template(v-slot:prepend)
+              v-icon(color="#00cec9" icon="mdi-translate")
+            v-list-item-title.font-weight-bold
+              ScrambleText(:text="$t('nav.vocabularies')")
+
         v-divider.my-4.border-subtle
 
         .d-flex.flex-column.gap-2
@@ -116,6 +126,13 @@
             )
               ScrambleText(:text="$t('nav.collection')")
 
+            v-btn.mx-1(
+              to="/vocabularies"
+              variant="text"
+              :color="$route.path === '/vocabularies' ? '#00cec9' : 'grey'"
+            )
+              ScrambleText(:text="$t('nav.vocabularies')")
+
             v-divider.mx-2.my-auto(vertical length="20" color="grey-darken-2")
 
             v-tooltip(:text="$t('nav.settings')" location="bottom")
@@ -230,24 +247,43 @@
             ScrambleText(:text="$t('settings.items')")
 
           .text-caption.text-grey.mb-2
-            ScrambleText(:text="$t('settings.drawingTolerance')")
+            ScrambleText(:text="$t('settings.strokeStrictness')")
+          .d-flex.justify-center.gap-2.mb-2
+            v-btn(
+              v-for="p in presetNames"
+              :key="p"
+              size="small"
+              :variant="tempPreset === p ? 'flat' : 'outlined'"
+              :color="tempPreset === p ? '#00cec9' : 'grey'"
+              @click="selectPreset(p)"
+            ) {{ p.charAt(0).toUpperCase() + p.slice(1) }}
+
+          v-btn.mb-3(
+            variant="text"
+            size="x-small"
+            color="grey"
+            :prepend-icon="showAdvanced ? 'mdi-chevron-up' : 'mdi-chevron-down'"
+            @click="showAdvanced = !showAdvanced"
+          )
+            ScrambleText(:text="$t('settings.advanced')")
+
+          v-expand-transition
+            .advanced-sliders(v-show="showAdvanced")
+              .slider-row(v-for="facet in facetSliders" :key="facet.key")
+                .d-flex.justify-space-between.align-center.mb-1
+                  .text-caption.text-grey {{ facet.label }}
+                  .text-caption.font-weight-bold.text-teal-accent-3 {{ facet.value }}%
                 v-slider(
-            v-model="tempDrawingAccuracy"
-            :min="1"
-            :max="20"
-            :step="1"
-            thumb-label
+                  :model-value="facet.value"
+                  @update:model-value="v => updateFacetSlider(facet.key, v)"
+                  :min="5"
+                  :max="95"
+                  :step="5"
                   color="#00cec9"
                   track-color="grey-darken-3"
+                  density="compact"
+                  hide-details
                 )
-          .d-flex.justify-space-between.text-caption.text-grey-lighten-1.mb-6.px-1
-            span
-              ScrambleText(:text="$t('settings.strict')") 
-              |  (5)
-            span.font-weight-bold.text-body-1(color="#00cec9") {{ tempDrawingAccuracy }}
-            span
-              ScrambleText(:text="$t('settings.loose')")
-              |  (20)
 
           .text-caption.text-grey.mb-2
             ScrambleText(:text="$t('settings.language')")
@@ -321,13 +357,16 @@
 <script setup>
 /* eslint-disable no-unused-vars */
 import {
-  ref, watch, onMounted, computed, onUnmounted,
+  ref, watch, onMounted, computed, onUnmounted, reactive,
 } from 'vue';
 import { useI18n } from 'vue-i18n';
 import { App as CapacitorApp } from '@capacitor/app';
 import { useAppStore } from '@/stores/appStore';
 import { checkForUpdates } from '@/utils/autoUpdate';
 import { SoundManager } from '@/utils/SoundManager';
+import {
+  PRESET_NAMES, PRESETS, FACET_KEYS, thresholdToSlider, sliderToThreshold,
+} from '@/utils/StrokeConfig.js';
 import logo from '@/assets/icon.svg';
 
 const drawer = ref(false);
@@ -345,7 +384,46 @@ const showLogoutDialog = ref(false);
 const snackbar = ref({ show: false, text: '', color: 'success' });
 
 const tempBatchSize = ref(store.batchSize);
-const tempDrawingAccuracy = ref(store.drawingAccuracy);
+const tempPreset = ref(store.strokeStrictness.preset || 'medium');
+const tempOverrides = reactive({});
+const showAdvanced = ref(false);
+const presetNames = PRESET_NAMES;
+
+// Human-readable facet labels
+const facetLabels = {
+  proximityThreshold: 'Position',
+  directionThreshold: 'Direction',
+  shapeThreshold: 'Shape',
+  lengthThreshold: 'Length',
+  curvatureThreshold: 'Curvature',
+};
+
+const facetSliders = computed(() => FACET_KEYS.map((key) => {
+  const preset = PRESETS[tempPreset.value] || PRESETS.medium;
+  const raw = tempOverrides[key] !== undefined ? tempOverrides[key] : preset[key];
+  return {
+    key,
+    label: facetLabels[key] || key,
+    value: thresholdToSlider(raw),
+  };
+}));
+
+function selectPreset(p) {
+  tempPreset.value = p;
+  // Clear all overrides when selecting a named preset
+  FACET_KEYS.forEach((k) => { delete tempOverrides[k]; });
+}
+
+function updateFacetSlider(key, sliderVal) {
+  tempOverrides[key] = sliderToThreshold(sliderVal);
+  // If overrides differ from current preset, mark as custom
+  const preset = PRESETS[tempPreset.value] || PRESETS.medium;
+  const isCustom = FACET_KEYS.some((k) => {
+    if (tempOverrides[k] === undefined) return false;
+    return Math.abs(tempOverrides[k] - preset[k]) > 0.001;
+  });
+  if (isCustom) tempPreset.value = 'custom';
+}
 
 const availableLocales = ['en', 'de', 'ja'];
 const tempLocale = ref(locale.value);
@@ -460,7 +538,14 @@ const parallaxStyle = computed(() => {
 watch(showSettings, (isOpen) => {
   if (isOpen) {
     tempBatchSize.value = store.batchSize;
-    tempDrawingAccuracy.value = store.drawingAccuracy;
+    tempPreset.value = store.strokeStrictness.preset || 'medium';
+    // Restore any saved overrides
+    FACET_KEYS.forEach((k) => { delete tempOverrides[k]; });
+    if (store.strokeStrictness.overrides) {
+      Object.entries(store.strokeStrictness.overrides).forEach(([k, v]) => {
+        tempOverrides[k] = v;
+      });
+    }
     tempLocale.value = locale.value;
     soundEnabled.value = !SoundManager.isMuted;
   }
@@ -516,9 +601,28 @@ function saveSettings() {
   showSettings.value = false;
 
   setTimeout(() => {
+    // Build the overrides object (only include keys that differ from preset)
+    const overrides = {};
+    const preset = PRESETS[tempPreset.value];
+    if (preset) {
+      FACET_KEYS.forEach((k) => {
+        if (tempOverrides[k] !== undefined && Math.abs(tempOverrides[k] - preset[k]) > 0.001) {
+          overrides[k] = tempOverrides[k];
+        }
+      });
+    } else {
+      // Custom preset — keep all overrides
+      FACET_KEYS.forEach((k) => {
+        if (tempOverrides[k] !== undefined) overrides[k] = tempOverrides[k];
+      });
+    }
+
     store.saveSettings({
       batchSize: tempBatchSize.value,
-      drawingAccuracy: tempDrawingAccuracy.value,
+      strokeStrictness: {
+        preset: tempPreset.value,
+        overrides,
+      },
     });
 
     SoundManager.setMuted(!soundEnabled.value);
@@ -678,6 +782,7 @@ function confirmLogout() {
   z-index: 10;
   width: 100%;
   height: 100%;
+  overflow-x: hidden;
   opacity: 0;
   transform: scale(0.95);
   filter: blur(10px);

client/src/components/kanji/KanjiCanvas.vue

@@ -89,7 +89,7 @@ function handlePointerUp(e) {
 onMounted(() => {
   controller = new KanjiController({
     size: props.size,
-    accuracy: store.drawingAccuracy,
+    config: store.resolvedStrokeConfig,
     onComplete: () => emit('complete'),
     onMistake: (needsHint) => {
       isShaking.value = true;
@@ -134,13 +134,14 @@ watch(() => props.size, (newSize) => {
   if (controller) controller.resize(newSize);
 });
 
-watch(() => store.drawingAccuracy, (newVal) => {
-  if (controller) controller.setAccuracy(newVal);
+watch(() => store.resolvedStrokeConfig, (newConfig) => {
+  if (controller) controller.setConfig(newConfig);
 });
 
 defineExpose({
   reset: () => controller?.reset(),
   showHint: () => controller?.showHint(),
+  getLastEvaluation: () => controller?.getLastEvaluation(),
   drawGuide: (enableAutoHint) => {
     if (!controller) return;
     if (enableAutoHint) controller.setAutoHint(true);

client/src/composables/useStrokeEvaluation.js

@@ -0,0 +1,66 @@
+/**
+ * useStrokeEvaluation.js
+ *
+ * Vue composable that provides reactive access to stroke evaluation
+ * results and the resolved config from the store.
+ *
+ * Usage in a component:
+ *   const { config, lastResult, hasFeedback } = useStrokeEvaluation();
+ *
+ * The `lastResult` ref is updated whenever a KanjiCanvas emits an
+ * evaluation result via its `getLastEvaluation()` exposed method.
+ */
+
+import { computed, ref } from 'vue';
+import { useAppStore } from '@/stores/appStore';
+
+export function useStrokeEvaluation() {
+  const store = useAppStore();
+
+  /** Resolved frozen config object, reactively derived from the store. */
+  const config = computed(() => store.resolvedStrokeConfig);
+
+  /** Last evaluation result, manually updated by the parent component. */
+  const lastResult = ref(null);
+
+  /**
+   * Call this after each stroke (on @complete or @mistake) to capture
+   * the detailed score breakdown from the canvas controller.
+   *
+   * @param {import('@/components/kanji/KanjiCanvas.vue').default} canvasRef
+   */
+  function captureResult(canvasRef) {
+    if (canvasRef?.getLastEvaluation) {
+      lastResult.value = canvasRef.getLastEvaluation();
+    }
+  }
+
+  /** Whether we have a non-null result to display. */
+  const hasFeedback = computed(() => lastResult.value !== null);
+
+  /** Per-facet pass/fail booleans for UI badges. */
+  const facetResults = computed(() => {
+    if (!lastResult.value) return null;
+    const { scores, thresholds } = lastResult.value;
+    return {
+      proximity: scores.proximity >= thresholds.proximity,
+      direction: scores.direction >= thresholds.direction,
+      shape: scores.shape >= thresholds.shape,
+      length: scores.length >= thresholds.length,
+      curvature: scores.curvature >= thresholds.curvature,
+    };
+  });
+
+  function clear() {
+    lastResult.value = null;
+  }
+
+  return {
+    config,
+    lastResult,
+    hasFeedback,
+    facetResults,
+    captureResult,
+    clear,
+  };
+}

client/src/main.js

@@ -17,6 +17,7 @@ import Dashboard from './views/Dashboard.vue';
 import Collection from './views/Collection.vue';
 import Review from './views/Review.vue';
 import Lesson from './views/Lesson.vue';
+import Vocabularies from './views/Vocabularies.vue';
 
 const app = createApp(App);
 const pinia = createPinia();
@@ -26,6 +27,7 @@ const router = createRouter({
   routes: [
     { path: '/', component: Dashboard },
     { path: '/collection', component: Collection },
+    { path: '/vocabularies', component: Vocabularies },
     { path: '/review', component: Review },
     { path: '/lesson', component: Lesson },
     { path: '/:pathMatch(.*)*', redirect: '/' },

client/src/plugins/i18n.js

@@ -10,6 +10,7 @@ const messages = {
       dashboard: 'Dashboard',
       review: 'Review',
       collection: 'Collection',
+      vocabularies: 'Vocabularies',
       settings: 'Settings',
       sync: 'Sync',
       logout: 'Logout',
@@ -99,6 +100,8 @@ const messages = {
       items: 'Items',
       language: 'Language',
       drawingTolerance: 'Drawing Tolerance',
+      strokeStrictness: 'Stroke Strictness',
+      advanced: 'Advanced',
       strict: 'Strict',
       loose: 'Loose',
       save: 'Save & Close',
@@ -142,6 +145,32 @@ const messages = {
       startLesson: 'Start Lesson',
       redoLesson: 'Redo Lesson',
     },
+    vocabulary: {
+      searchLabel: 'Search Vocabulary...',
+      placeholder: "e.g. '大人', 'otona', 'adult'",
+      loading: 'Loading Vocabularies...',
+      noMatches: 'No matches found',
+      tryDifferent: 'Try searching for a different word or reading.',
+      levelHeader: 'LEVEL',
+      levelLabel: 'Level',
+      primary: 'Primary',
+      mnemonics: 'Mnemonics',
+      meaningMnemonic: 'Meaning Mnemonic',
+      readingMnemonic: 'Reading Mnemonic',
+      components: 'Component Kanji',
+      exampleSentences: 'Example Sentences',
+      filters: 'Filters',
+      filterType: 'Word Type',
+      filterVerbClass: 'Verb Class',
+      filterTransitivity: 'Transitivity',
+      filterEnding: 'Reading Ending',
+      filterLength: 'Character Count',
+      clearAll: 'Clear All',
+      matchCount: '{n} results',
+      listenMale: 'Male',
+      listenFemale: 'Female',
+      close: 'Close',
+    },
   },
   de: {
     common: {
@@ -152,6 +181,7 @@ const messages = {
       dashboard: 'Übersicht',
       review: 'Lernen',
       collection: 'Sammlung',
+      vocabularies: 'Vokabeln',
       settings: 'Einstellungen',
       sync: 'Sync',
       logout: 'Abmelden',
@@ -241,6 +271,8 @@ const messages = {
       items: 'Einträge',
       language: 'Sprache',
       drawingTolerance: 'Zeichentoleranz',
+      strokeStrictness: 'Strichgenauigkeit',
+      advanced: 'Erweitert',
       strict: 'Strikt',
       loose: 'Locker',
       save: 'Speichern & Schließen',
@@ -284,6 +316,32 @@ const messages = {
       startLesson: 'Lektion starten',
       redoLesson: 'Lektion wiederholen',
     },
+    vocabulary: {
+      searchLabel: 'Vokabel suchen...',
+      placeholder: "z.B. '大人', 'otona', 'Erwachsener'",
+      loading: 'Lade Vokabeln...',
+      noMatches: 'Keine Treffer',
+      tryDifferent: 'Versuche einen anderen Suchbegriff.',
+      levelHeader: 'STUFE',
+      levelLabel: 'Stufe',
+      primary: 'Primär',
+      mnemonics: 'Eselsbrücken',
+      meaningMnemonic: 'Bedeutungs-Eselsbrücke',
+      readingMnemonic: 'Lesungs-Eselsbrücke',
+      components: 'Kanji-Bestandteile',
+      exampleSentences: 'Beispielsätze',
+      filters: 'Filter',
+      filterType: 'Wortart',
+      filterVerbClass: 'Verbklasse',
+      filterTransitivity: 'Transitivität',
+      filterEnding: 'Lesung-Endung',
+      filterLength: 'Zeichenanzahl',
+      clearAll: 'Zurücksetzen',
+      matchCount: '{n} Ergebnisse',
+      listenMale: 'Männlich',
+      listenFemale: 'Weiblich',
+      close: 'Schließen',
+    },
   },
   ja: {
     common: {
@@ -294,6 +352,7 @@ const messages = {
       dashboard: 'ダッシュボード',
       review: '復習',
       collection: 'コレクション',
+      vocabularies: '単語',
       settings: '設定',
       sync: '同期',
       logout: 'ログアウト',
@@ -383,6 +442,8 @@ const messages = {
       items: '個',
       language: '言語 (Language)',
       drawingTolerance: '描画許容範囲',
+      strokeStrictness: '筆画の厳密さ',
+      advanced: '詳細設定',
       strict: '厳しい',
       loose: '甘い',
       save: '保存して閉じる',
@@ -426,6 +487,32 @@ const messages = {
       startLesson: 'レッスン開始',
       redoLesson: 'レッスンをやり直す',
     },
+    vocabulary: {
+      searchLabel: '単語を検索...',
+      placeholder: "例: '大人', 'おとな', 'adult'",
+      loading: '単語を読み込み中...',
+      noMatches: '見つかりませんでした',
+      tryDifferent: '別のキーワードで検索してください。',
+      levelHeader: 'レベル',
+      levelLabel: 'レベル',
+      primary: '主要',
+      mnemonics: '覚え方',
+      meaningMnemonic: '意味の覚え方',
+      readingMnemonic: '読みの覚え方',
+      components: '構成漢字',
+      exampleSentences: '例文',
+      filters: 'フィルター',
+      filterType: '品詞',
+      filterVerbClass: '動詞の種類',
+      filterTransitivity: '自他',
+      filterEnding: '読みの語尾',
+      filterLength: '文字数',
+      clearAll: 'クリア',
+      matchCount: '{n}件',
+      listenMale: '男性',
+      listenFemale: '女性',
+      close: '閉じる',
+    },
   },
 };
 

client/src/stores/appStore.js

@@ -1,4 +1,5 @@
 import { defineStore } from 'pinia';
+import { createConfig, migrateOldAccuracy } from '@/utils/StrokeConfig.js';
 
 const BASE_URL = import.meta.env.VITE_API_URL || 'http://localhost:3000';
 
@@ -9,6 +10,7 @@ export const useAppStore = defineStore('app', {
     queue: [],
     lessonQueue: [],
     collection: [],
+    vocabularies: [],
     stats: {
       distribution: {},
       forecast: [],
@@ -19,10 +21,25 @@ export const useAppStore = defineStore('app', {
       ghosts: [],
     },
     batchSize: parseInt(localStorage.getItem('zen_batch_size'), 10) || 20,
-    drawingAccuracy: parseInt(localStorage.getItem('zen_drawing_accuracy'), 10) || 10,
+    strokeStrictness: (() => {
+      // Try new format first, then migrate from old drawingAccuracy
+      const saved = localStorage.getItem('zen_stroke_strictness');
+      if (saved) {
+        try { return JSON.parse(saved); } catch (e) { /* fall through */ }
+      }
+      const oldVal = parseInt(localStorage.getItem('zen_drawing_accuracy'), 10);
+      if (oldVal) return migrateOldAccuracy(oldVal);
+      return { preset: 'medium', overrides: {} };
+    })(),
     loading: false,
   }),
 
+  getters: {
+    resolvedStrokeConfig(state) {
+      return createConfig(state.strokeStrictness.preset, state.strokeStrictness.overrides);
+    },
+  },
+
   actions: {
     async login(apiKey) {
       const res = await fetch(`${BASE_URL}/api/auth/login`, {
@@ -39,10 +56,16 @@ export const useAppStore = defineStore('app', {
 
       if (data.user.settings) {
         this.batchSize = data.user.settings.batchSize || 20;
-        this.drawingAccuracy = data.user.settings.drawingAccuracy || 10;
+
+        // Handle both old and new settings format from server
+        if (data.user.settings.strokeStrictness) {
+          this.strokeStrictness = data.user.settings.strokeStrictness;
+        } else if (data.user.settings.drawingAccuracy) {
+          this.strokeStrictness = migrateOldAccuracy(data.user.settings.drawingAccuracy);
+        }
 
         localStorage.setItem('zen_batch_size', this.batchSize);
-        localStorage.setItem('zen_drawing_accuracy', this.drawingAccuracy);
+        localStorage.setItem('zen_stroke_strictness', JSON.stringify(this.strokeStrictness));
       }
 
       localStorage.setItem('zen_token', data.token);
@@ -72,6 +95,7 @@ export const useAppStore = defineStore('app', {
       this.queue = [];
       this.lessonQueue = [];
       this.collection = [];
+      this.vocabularies = [];
       this.stats = {
         distribution: {},
         forecast: [],
@@ -83,7 +107,8 @@ export const useAppStore = defineStore('app', {
       };
       localStorage.removeItem('zen_token');
       localStorage.removeItem('zen_batch_size');
-      localStorage.removeItem('zen_drawing_accuracy');
+      localStorage.removeItem('zen_stroke_strictness');
+      localStorage.removeItem('zen_drawing_accuracy'); // clean up old key
     },
 
     getHeaders() {
@@ -161,6 +186,20 @@ export const useAppStore = defineStore('app', {
       this.collection = await res.json();
     },
 
+    async fetchVocabularies() {
+      if (!this.token) return;
+
+      const res = await fetch(`${BASE_URL}/api/vocabulary`, { headers: this.getHeaders() });
+
+      if (res.status === 401) {
+        await this.logout();
+        return;
+      }
+
+      const data = await res.json();
+      this.vocabularies = Array.isArray(data) ? data : [];
+    },
+
     async submitReview(subjectId, success) {
       const res = await fetch(`${BASE_URL}/api/review`, {
         method: 'POST',
@@ -196,9 +235,9 @@ export const useAppStore = defineStore('app', {
         this.batchSize = settings.batchSize;
         localStorage.setItem('zen_batch_size', settings.batchSize);
       }
-      if (settings.drawingAccuracy !== undefined) {
-        this.drawingAccuracy = settings.drawingAccuracy;
-        localStorage.setItem('zen_drawing_accuracy', settings.drawingAccuracy);
+      if (settings.strokeStrictness !== undefined) {
+        this.strokeStrictness = settings.strokeStrictness;
+        localStorage.setItem('zen_stroke_strictness', JSON.stringify(settings.strokeStrictness));
       }
 
       await fetch(`${BASE_URL}/api/settings`, {

client/src/styles/base/_base.scss

@@ -19,6 +19,7 @@ html,
 	color: $color-text-white;
 	-webkit-font-smoothing: antialiased;
 	-moz-osx-font-smoothing: grayscale;
+	overflow-x: hidden;
 }
 
 .v-card {

client/src/styles/pages/_index.scss

@@ -1,4 +1,5 @@
 @use 'dashboard';
 @use 'collection';
+@use 'vocabularies';
 @use 'review';
 @use 'lesson';

client/src/styles/pages/_vocabularies.scss

@@ -0,0 +1,322 @@
+@use '../abstracts' as *;
+
+// ── Page layout ──────────────────────────────────────────────
+
+.vocab-page {
+	max-width: $max-width-desktop;
+}
+
+// ── Toolbar ──────────────────────────────────────────────────
+
+.vocab-toolbar {
+	display: flex;
+	gap: $spacing-sm;
+	align-items: stretch;
+	position: sticky;
+	top: $spacing-sm;
+	z-index: $z-sticky;
+	margin-bottom: $spacing-md;
+
+	.vocab-search {
+		flex: 1;
+		box-shadow: $shadow-md;
+		border-radius: $radius-sm;
+	}
+
+	.vocab-filter-toggle {
+		height: auto !important;
+		min-width: 7rem;
+		border-radius: $radius-sm;
+		font-weight: $weight-bold;
+		font-size: $font-xs;
+		text-transform: none;
+		letter-spacing: $tracking-normal;
+	}
+}
+
+// ── Active filter chips bar ──────────────────────────────────
+
+.vocab-active-filters {
+	display: flex;
+	flex-wrap: wrap;
+	align-items: center;
+	padding: $spacing-xs 0;
+	margin-bottom: $spacing-sm;
+}
+
+// ── Filter panel ─────────────────────────────────────────────
+
+.vocab-filter-panel {
+	background: $bg-glass-dark;
+	border: $border-width-sm solid $color-border;
+	border-radius: $radius-lg;
+	padding: $spacing-md $spacing-lg;
+	margin-bottom: $spacing-lg;
+
+	.filter-section {
+		margin-bottom: $spacing-md;
+
+		&:last-of-type {
+			margin-bottom: $spacing-sm;
+		}
+
+		.filter-label {
+			font-size: $font-xs;
+			font-weight: $weight-bold;
+			color: $color-text-grey;
+			text-transform: uppercase;
+			letter-spacing: $tracking-wider;
+			margin-bottom: $spacing-xs;
+		}
+
+		.filter-chips {
+			display: flex;
+			flex-wrap: wrap;
+			gap: $spacing-xs;
+		}
+	}
+
+	.filter-actions {
+		display: flex;
+		justify-content: space-between;
+		align-items: center;
+		padding-top: $spacing-sm;
+		border-top: $border-width-sm solid $color-border;
+	}
+}
+
+// ── Level header ─────────────────────────────────────────────
+
+.vocab-level-header {
+	display: flex;
+	align-items: center;
+	gap: $spacing-sm;
+	margin-bottom: $spacing-md;
+
+	.vocab-level-badge {
+		font-size: $font-xs;
+		font-weight: $weight-bold;
+		color: $color-primary;
+		text-transform: uppercase;
+		letter-spacing: $tracking-wider;
+		white-space: nowrap;
+		padding: $spacing-2xs $spacing-sm;
+		background: rgba(0, 206, 201, 0.1);
+		border-radius: $radius-sm;
+		border: $border-width-sm solid rgba(0, 206, 201, 0.2);
+	}
+
+	.vocab-level-line {
+		flex: 1;
+		height: 1px;
+		background: $color-border;
+	}
+
+	.vocab-level-count {
+		font-size: $font-xs;
+		color: $color-text-grey;
+		white-space: nowrap;
+	}
+}
+
+// ── Grid ─────────────────────────────────────────────────────
+
+.vocab-grid {
+	display: grid;
+	grid-template-columns: repeat(auto-fill, minmax(9rem, 1fr));
+	gap: $spacing-sm;
+
+	@media (max-width: $breakpoint-sm) {
+		grid-template-columns: repeat(auto-fill, minmax(8rem, 1fr));
+	}
+}
+
+// ── Card ─────────────────────────────────────────────────────
+
+.vocab-card {
+	@include card-base;
+	@include hover-lift;
+	display: flex;
+	flex-direction: column;
+	justify-content: space-between;
+	padding: $spacing-md $spacing-sm $spacing-sm;
+	cursor: pointer;
+	min-height: 5.5rem;
+	overflow: hidden;
+	border: $border-width-sm solid transparent;
+	transition:
+		transform $duration-fast $ease-default,
+		background $duration-fast $ease-default,
+		box-shadow $duration-fast $ease-default,
+		border-color $duration-fast $ease-default;
+
+	&:hover {
+		border-color: rgba(0, 206, 201, 0.3);
+	}
+
+	.vc-top {
+		display: flex;
+		flex-direction: column;
+		align-items: center;
+		gap: $spacing-2xs;
+		margin-bottom: $spacing-xs;
+	}
+
+	.vc-char {
+		font-size: $font-lg;
+		font-weight: $weight-bold;
+		color: $color-primary;
+		line-height: $leading-tight;
+		text-align: center;
+		word-break: break-all;
+		overflow-wrap: anywhere;
+	}
+
+	.vc-reading {
+		font-size: $font-xs;
+		color: $color-text-grey;
+		text-align: center;
+		opacity: 0.7;
+	}
+
+	.vc-bottom {
+		display: flex;
+		flex-direction: column;
+		align-items: center;
+		gap: $spacing-2xs;
+	}
+
+	.vc-meaning {
+		font-size: $font-xs;
+		color: $color-text-grey;
+		text-align: center;
+		line-height: $leading-normal;
+		display: -webkit-box;
+		-webkit-line-clamp: 2;
+		-webkit-box-orient: vertical;
+		overflow: hidden;
+	}
+
+	.vc-tags {
+		display: flex;
+		gap: $spacing-2xs;
+		justify-content: center;
+		flex-wrap: wrap;
+
+		.vc-tag {
+			font-size: 0.5625rem;
+			font-weight: $weight-bold;
+			color: rgba(0, 206, 201, 0.7);
+			background: rgba(0, 206, 201, 0.08);
+			padding: 0 $spacing-xs;
+			border-radius: $radius-xs;
+			line-height: 1.4rem;
+			letter-spacing: $tracking-wide;
+			text-transform: uppercase;
+		}
+	}
+}
+
+// ── Detail modal ─────────────────────────────────────────────
+
+.vocab-detail-char {
+	font-family: 'Noto Serif JP', serif;
+	letter-spacing: $tracking-wide;
+	color: $color-primary;
+}
+
+.vocab-readings-container {
+	display: flex;
+	flex-wrap: wrap;
+	gap: $spacing-sm;
+	justify-content: center;
+
+	.vocab-reading-group {
+		display: flex;
+		align-items: center;
+		background: $bg-glass-dark;
+		padding: $spacing-xs $spacing-md;
+		border-radius: $radius-md;
+
+		.vocab-reading-value {
+			font-size: $font-md;
+			color: $color-text-grey;
+
+			&.is-primary {
+				color: $color-text-white;
+				font-weight: $weight-bold;
+			}
+		}
+	}
+}
+
+.vocab-mnemonic-section {
+	background: $bg-glass-dark;
+	padding: $spacing-md;
+	border-radius: $radius-md;
+
+	.mnemonic-text {
+		line-height: $leading-loose;
+	}
+}
+
+.vocab-components-section {
+	text-align: center;
+}
+
+.vocab-collapsible {
+	.vocab-collapse-toggle {
+		text-transform: none;
+		letter-spacing: $tracking-normal;
+		font-size: $font-sm;
+		border: $border-width-sm solid $color-border;
+		border-radius: $radius-md;
+	}
+
+	.vocab-collapse-content {
+		margin-top: $spacing-sm;
+	}
+}
+
+.vocab-audio-row {
+	display: flex;
+	justify-content: center;
+	gap: $spacing-sm;
+}
+
+.vocab-audio-btn {
+	transition: all $duration-fast $ease-default;
+	text-transform: none !important;
+	letter-spacing: $tracking-normal !important;
+
+	&:hover:not(:disabled) {
+		box-shadow: $shadow-glow-base;
+	}
+}
+
+.vocab-sentences-section {
+	.vocab-sentence {
+		background: $bg-glass-dark;
+		padding: $spacing-md;
+		border-radius: $radius-md;
+		margin-bottom: $spacing-sm;
+
+		&:last-child {
+			margin-bottom: 0;
+		}
+
+		.vocab-sentence-ja {
+			font-size: $font-md;
+			color: $color-text-white;
+			margin-bottom: $spacing-xs;
+			line-height: $leading-normal;
+		}
+
+		.vocab-sentence-en {
+			font-size: $font-sm;
+			color: $color-text-grey;
+			line-height: $leading-normal;
+			font-style: italic;
+		}
+	}
+}

client/src/utils/KanjiController.js

@@ -1,4 +1,6 @@
 import { SoundManager } from './SoundManager.js';
+import { evaluateStroke } from './StrokeEvaluator.js';
+import { createConfig } from './StrokeConfig.js';
 
 export const KANJI_CONSTANTS = {
   BASE_SIZE: 109,
@@ -12,10 +14,6 @@ export const KANJI_CONSTANTS = {
   ANIMATION_DURATION: 300,
   SAMPLE_POINTS: 60,
 
-  VALIDATION: {
-    SAMPLES: 20,
-  },
-
   COLORS: {
     USER: { r: 255, g: 118, b: 117 },
     FINAL: { r: 0, g: 206, b: 201 },
@@ -27,10 +25,13 @@ export const KANJI_CONSTANTS = {
 export class KanjiController {
   constructor(options = {}) {
     this.size = options.size || 300;
-    this.accuracy = options.accuracy || 10;
     this.onComplete = options.onComplete || (() => {});
     this.onMistake = options.onMistake || (() => {});
 
+    // Stroke evaluation config (from StrokeConfig presets)
+    this.config = options.config || createConfig('medium');
+    this.lastEvaluation = null;
+
     this.scale = this.size / KANJI_CONSTANTS.BASE_SIZE;
     this.paths = [];
     this.currentStrokeIdx = 0;
@@ -101,8 +102,12 @@ export class KanjiController {
     this.resize(this.size);
   }
 
-  setAccuracy(val) {
-    this.accuracy = val;
+  setConfig(config) {
+    this.config = config;
+  }
+
+  getLastEvaluation() {
+    return this.lastEvaluation;
   }
 
   resize(newSize) {
@@ -306,12 +311,19 @@ export class KanjiController {
 
   validateStroke() {
     const targetD = this.paths[this.currentStrokeIdx];
-    const userNormalized = this.userPath.map((p) => ({
-      x: p.x / this.scale,
-      y: p.y / this.scale,
-    }));
+    const pathEl = KanjiController.createPathElement(targetD);
 
-    if (this.checkMatch(userNormalized, targetD)) {
+    const result = evaluateStroke(
+      this.userPath,
+      pathEl,
+      this.scale,
+      this.config,
+      { isFirstStroke: this.currentStrokeIdx === 0 },
+    );
+
+    this.lastEvaluation = result;
+
+    if (result.pass) {
       if (this.hintAnimationFrame) {
         cancelAnimationFrame(this.hintAnimationFrame);
         this.hintAnimationFrame = null;
@@ -345,179 +357,8 @@ export class KanjiController {
     }
   }
 
-  checkMatch(userPts, targetD) {
-    if (userPts.length < 3) return false;
-
-    const pathEl = KanjiController.createPathElement(targetD);
-    const len = pathEl.getTotalLength();
-    const { SAMPLES } = KANJI_CONSTANTS.VALIDATION;
-
-    const dist = (p1, p2) => Math.hypot(p1.x - p2.x, p1.y - p2.y);
-
-    // ── 1. Start / end point check ──────────────────
-    const targetStart = pathEl.getPointAtLength(0);
-    const targetEnd = pathEl.getPointAtLength(len);
-    const userStart = userPts[0];
-    const userEnd = userPts[userPts.length - 1];
-
-    const isFirstStroke = this.currentStrokeIdx === 0;
-    const startThreshold = this.accuracy * (isFirstStroke ? 3.5 : 2.5);
-    // End tolerance scales with stroke length — long strokes get more forgiveness
-    const lengthBonus = Math.min(len / 30, 1.5);
-    const endThreshold = this.accuracy * (2.5 + lengthBonus);
-
-    if (dist(userStart, targetStart) > startThreshold) return false;
-    if (dist(userEnd, targetEnd) > endThreshold) return false;
-
-    // ── 2. Overall direction check ──────────────────
-    const userAngle = Math.atan2(userEnd.y - userStart.y, userEnd.x - userStart.x);
-    const targetAngle = Math.atan2(targetEnd.y - targetStart.y, targetEnd.x - targetStart.x);
-    const angleDiff = KanjiController.normalizeAngle(userAngle - targetAngle);
-
-    // Reject if direction is off by more than 90 degrees
-    if (angleDiff > Math.PI / 2) return false;
-
-    // ── 3. Orientation classification guard ─────────
-    const userOrientation = KanjiController.classifyOrientation(userStart, userEnd);
-    const targetOrientation = KanjiController.classifyOrientation(targetStart, targetEnd);
-
-    // Only block if both strokes are clearly H or V (not diagonal or dot)
-    if (userOrientation !== 'other' && targetOrientation !== 'other'
-        && userOrientation !== targetOrientation) {
-      return false;
-    }
-
-    // ── 4. Sequential sample comparison ─────────────
-    const userResampled = KanjiController.resamplePoints(userPts, SAMPLES + 1);
-    let totalError = 0;
-    let maxError = 0;
-
-    for (let i = 0; i <= SAMPLES; i++) {
-      const t = i / SAMPLES;
-      const targetPt = pathEl.getPointAtLength(t * len);
-      const userPt = userResampled[i];
-      const d = dist(targetPt, userPt);
-      totalError += d;
-      if (d > maxError) maxError = d;
-    }
-
-    const avgError = totalError / (SAMPLES + 1);
-    const avgDistThreshold = this.accuracy * 1.0;
-    const maxDistThreshold = this.accuracy * 3.5;
-
-    if (avgError > avgDistThreshold) return false;
-    // No single point should be wildly off — catches "right average, wrong shape"
-    if (maxError > maxDistThreshold) return false;
-
-    // ── 4b. Stroke length ratio ─────────────────────
-    let userLen = 0;
-    for (let i = 1; i < userPts.length; i++) {
-      userLen += dist(userPts[i - 1], userPts[i]);
-    }
-    const lengthRatio = userLen / len;
-    // User stroke should be between 30% and 300% of target length
-    // Long straight strokes especially benefit from the upper bound
-    if (lengthRatio < 0.3 || lengthRatio > 3.0) return false;
-
-    // ── 4c. Curvature similarity ────────────────────
-    const targetCurvature = KanjiController.measureCurvature(
-      userResampled.map((_, i) => {
-        const t = i / SAMPLES;
-        const pt = pathEl.getPointAtLength(t * len);
-        return { x: pt.x, y: pt.y };
-      }),
-    );
-    const userCurvature = KanjiController.measureCurvature(userPts);
-
-    // If target is clearly curved but user drew straight (or vice versa)
-    const curvatureDiff = Math.abs(targetCurvature - userCurvature);
-    // Scale threshold: strict = 0.2, loose = 0.5
-    const curvatureThreshold = 0.15 + (this.accuracy / 20) * 0.35;
-    if (curvatureDiff > curvatureThreshold) return false;
-
-    // ── 5. Endpoint direction check (hook detection) ─
-    const tailFraction = 0.2;
-    const targetTailStart = pathEl.getPointAtLength(len * (1 - tailFraction));
-    const targetTailAngle = Math.atan2(
-      targetEnd.y - targetTailStart.y,
-      targetEnd.x - targetTailStart.x,
-    );
-
-    // Check if target has a significant direction change at the end (hook)
-    const mainTargetAngle = Math.atan2(
-      targetEnd.y - targetStart.y,
-      targetEnd.x - targetStart.x,
-    );
-    const targetHookAngle = KanjiController.normalizeAngle(targetTailAngle - mainTargetAngle);
-    const hasHook = targetHookAngle > Math.PI / 6; // > 30 degrees = hook
-
-    if (hasHook) {
-      // User must also have a direction change in the last portion
-      const tailIdx = Math.max(0, Math.floor(userPts.length * (1 - tailFraction)));
-      const userTailStart = userPts[tailIdx];
-      const userTailAngle = Math.atan2(
-        userEnd.y - userTailStart.y,
-        userEnd.x - userTailStart.x,
-      );
-      const mainUserAngle = Math.atan2(
-        userEnd.y - userStart.y,
-        userEnd.x - userStart.x,
-      );
-      const userHookAngle = KanjiController.normalizeAngle(userTailAngle - mainUserAngle);
-
-      // User's hook should be at least half as pronounced as the target's
-      // but use a generous threshold scaled by accuracy
-      const hookThreshold = Math.max(Math.PI / 12, targetHookAngle * 0.4);
-      if (userHookAngle < hookThreshold) {
-        // Only reject on strict accuracy (< 12), forgive on loose settings
-        if (this.accuracy < 12) return false;
-      }
-    }
-
-    return true;
-  }
-
-  // ── Static helpers for stroke validation ────────────
-
-  static normalizeAngle(angle) {
-    let a = Math.abs(angle);
-    if (a > Math.PI) a = 2 * Math.PI - a;
-    return a;
-  }
-
-  static classifyOrientation(start, end) {
-    const dx = Math.abs(end.x - start.x);
-    const dy = Math.abs(end.y - start.y);
-    const totalDist = Math.hypot(dx, dy);
-
-    // Very short strokes (dots) — don't classify
-    if (totalDist < 5) return 'other';
-
-    const ratio = dx / (dy || 0.001);
-    if (ratio > 2.5) return 'horizontal';
-    if (ratio < 0.4) return 'vertical';
-    return 'other'; // diagonal or ambiguous
-  }
-
-  static measureCurvature(points) {
-    if (points.length < 3) return 0;
-
-    // Curvature = ratio of actual path length to straight-line distance
-    // A perfectly straight line = 0, a semicircle ≈ 0.57
-    let pathLen = 0;
-    for (let i = 1; i < points.length; i++) {
-      pathLen += Math.hypot(points[i].x - points[i - 1].x, points[i].y - points[i - 1].y);
-    }
-
-    const straightDist = Math.hypot(
-      points[points.length - 1].x - points[0].x,
-      points[points.length - 1].y - points[0].y,
-    );
-
-    if (straightDist < 1) return 0; // dot-like stroke
-    // Returns 0 for straight, >0 for curved (ratio - 1)
-    return Math.max(0, (pathLen / straightDist) - 1);
-  }
+  // Old checkMatch, normalizeAngle, classifyOrientation, measureCurvature
+  // have been replaced by StrokeEvaluator.evaluateStroke().
 
   animateErrorFade(userPath, onComplete) {
     this.isAnimating = true;

client/src/utils/StrokeConfig.js

@@ -0,0 +1,90 @@
+/**
+ * StrokeConfig.js
+ *
+ * Strictness configuration for the stroke evaluation system.
+ * Provides preset difficulty levels and a factory to build
+ * resolved configs with optional per-facet overrides.
+ *
+ * Each threshold is a minimum score (0-1) that the corresponding
+ * evaluation facet must exceed for a stroke to pass.
+ */
+
+// ── Presets ──────────────────────────────────────────────────
+export const PRESETS = {
+  easy: {
+    proximityThreshold: 0.25,
+    directionThreshold: 0.35,
+    shapeThreshold: 0.35,
+    lengthThreshold: 0.25,
+    curvatureThreshold: 0.20,
+    sampleCount: 32,
+    dtwBandWidth: 0.35,
+    firstStrokeLeniency: 1.5,
+  },
+  medium: {
+    proximityThreshold: 0.40,
+    directionThreshold: 0.50,
+    shapeThreshold: 0.50,
+    lengthThreshold: 0.40,
+    curvatureThreshold: 0.35,
+    sampleCount: 32,
+    dtwBandWidth: 0.30,
+    firstStrokeLeniency: 1.35,
+  },
+  hard: {
+    proximityThreshold: 0.55,
+    directionThreshold: 0.65,
+    shapeThreshold: 0.65,
+    lengthThreshold: 0.55,
+    curvatureThreshold: 0.50,
+    sampleCount: 48,
+    dtwBandWidth: 0.25,
+    firstStrokeLeniency: 1.2,
+  },
+  expert: {
+    proximityThreshold: 0.70,
+    directionThreshold: 0.80,
+    shapeThreshold: 0.78,
+    lengthThreshold: 0.65,
+    curvatureThreshold: 0.65,
+    sampleCount: 48,
+    dtwBandWidth: 0.20,
+    firstStrokeLeniency: 1.1,
+  },
+};
+
+// ── Factory ─────────────────────────────────────────────────
+export function createConfig(preset = 'medium', overrides = {}) {
+  const base = PRESETS[preset] || PRESETS.medium;
+  return Object.freeze({ ...base, ...overrides });
+}
+
+// ── Slider helpers ──────────────────────────────────────────
+export function sliderToThreshold(v) {
+  return Math.max(0, Math.min(1, v / 100));
+}
+
+export function thresholdToSlider(t) {
+  return Math.round(Math.max(0, Math.min(1, t)) * 100);
+}
+
+// ── Migration from old accuracy (1-20) ─────────────────────
+export function migrateOldAccuracy(accuracy) {
+  const val = Math.max(1, Math.min(20, accuracy));
+  let preset;
+  if (val <= 5) preset = 'expert';
+  else if (val <= 10) preset = 'hard';
+  else if (val <= 15) preset = 'medium';
+  else preset = 'easy';
+  return { preset, overrides: {} };
+}
+
+export const PRESET_NAMES = ['easy', 'medium', 'hard', 'expert'];
+
+export const FACET_KEYS = [
+  'proximityThreshold',
+  'directionThreshold',
+  'shapeThreshold',
+  'lengthThreshold',
+  'curvatureThreshold',
+];

client/src/utils/StrokeEvaluator.js

@@ -0,0 +1,432 @@
+/**
+ * StrokeEvaluator.js
+ *
+ * Pure-function module for evaluating user-drawn strokes against
+ * SVG reference paths. No DOM, Canvas, or Vue dependencies — only
+ * math and array operations (except where an SVG path element is
+ * passed in for sampling).
+ *
+ * Core algorithm: Dynamic Time Warping (DTW) with Sakoe-Chiba band.
+ *
+ * Five evaluation facets:
+ *   1. Start/End Proximity
+ *   2. Directionality (angle match + reversal detection)
+ *   3. Shape Similarity (DTW)
+ *   4. Length Ratio
+ *   5. Curvature (sinuosity) Match
+ */
+
+// ── Helpers ─────────────────────────────────────────────────
+
+/** Euclidean distance between two {x, y} points. */
+function dist(a, b) {
+  return Math.hypot(a.x - b.x, a.y - b.y);
+}
+
+/**
+ * Normalize an angle difference to [0, PI].
+ * @param {number} angle - raw difference in radians
+ * @returns {number} absolute difference clamped to [0, PI]
+ */
+function normalizeAngle(angle) {
+  let a = Math.abs(angle);
+  if (a > Math.PI) a = 2 * Math.PI - a;
+  return a;
+}
+
+/**
+ * Total arc-length of a polyline [{x,y}, ...].
+ */
+function polylineLength(pts) {
+  let len = 0;
+  for (let i = 1; i < pts.length; i++) {
+    len += dist(pts[i - 1], pts[i]);
+  }
+  return len;
+}
+
+// ── Resampling ──────────────────────────────────────────────
+
+/**
+ * Resample a polyline to `count` equidistant points along its arc.
+ *
+ * @param {Array<{x:number, y:number}>} points
+ * @param {number} count - desired number of output points
+ * @returns {Array<{x:number, y:number}>}
+ */
+export function resamplePath(points, count) {
+  if (!points || points.length === 0) return [];
+  if (points.length === 1 || count <= 1) return [{ ...points[0] }];
+
+  // Build cumulative distance array
+  let totalLen = 0;
+  const cumDist = [0];
+  for (let i = 1; i < points.length; i++) {
+    totalLen += dist(points[i - 1], points[i]);
+    cumDist.push(totalLen);
+  }
+
+  if (totalLen === 0) return Array.from({ length: count }, () => ({ ...points[0] }));
+
+  const step = totalLen / (count - 1);
+  const result = [];
+
+  for (let i = 0; i < count; i++) {
+    const targetDist = i * step;
+
+    // Binary search for the segment containing targetDist
+    let lo = 0;
+    let hi = cumDist.length - 1;
+    while (lo < hi - 1) {
+      const mid = (lo + hi) >> 1;
+      if (cumDist[mid] <= targetDist) lo = mid;
+      else hi = mid;
+    }
+
+    const segStart = lo;
+    const segLen = cumDist[segStart + 1] - cumDist[segStart];
+    const t = segLen === 0 ? 0 : (targetDist - cumDist[segStart]) / segLen;
+
+    const p1 = points[segStart];
+    const p2 = points[Math.min(segStart + 1, points.length - 1)];
+    result.push({
+      x: p1.x + (p2.x - p1.x) * t,
+      y: p1.y + (p2.y - p1.y) * t,
+    });
+  }
+  return result;
+}
+
+// ── Dynamic Time Warping ────────────────────────────────────
+
+/**
+ * Compute DTW distance between two sequences of {x, y} points
+ * using a Sakoe-Chiba band constraint.
+ *
+ * Returns the total accumulated cost normalized by (N + M),
+ * producing a length-independent distance measure.
+ *
+ * @param {Array<{x:number, y:number}>} seq1
+ * @param {Array<{x:number, y:number}>} seq2
+ * @param {number} bandFraction - band width as fraction of max(N, M), default 0.3
+ * @returns {number} normalized DTW distance
+ */
+export function computeDTW(seq1, seq2, bandFraction = 0.3) {
+  const n = seq1.length;
+  const m = seq2.length;
+  if (n === 0 || m === 0) return Infinity;
+
+  const w = Math.max(1, Math.floor(Math.max(n, m) * bandFraction));
+
+  // Use two-row optimization to save memory (O(m) instead of O(n*m))
+  let prev = new Float64Array(m).fill(Infinity);
+  let curr = new Float64Array(m).fill(Infinity);
+
+  prev[0] = dist(seq1[0], seq2[0]);
+
+  // Fill first row within band
+  for (let j = 1; j < Math.min(w + 1, m); j++) {
+    prev[j] = prev[j - 1] + dist(seq1[0], seq2[j]);
+  }
+
+  for (let i = 1; i < n; i++) {
+    curr.fill(Infinity);
+    const jMin = Math.max(0, i - w);
+    const jMax = Math.min(m - 1, i + w);
+
+    for (let j = jMin; j <= jMax; j++) {
+      const cost = dist(seq1[i], seq2[j]);
+      const top = prev[j];                           // (i-1, j)
+      const left = j > 0 ? curr[j - 1] : Infinity;  // (i, j-1)
+      const diag = (j > 0) ? prev[j - 1] : Infinity; // (i-1, j-1)
+      curr[j] = cost + Math.min(top, left, diag);
+    }
+
+    // Swap rows
+    [prev, curr] = [curr, prev];
+  }
+
+  // Result is in prev after last swap
+  return prev[m - 1] / (n + m);
+}
+
+// ── Facet 1: Proximity ──────────────────────────────────────
+
+/**
+ * Evaluate how close the user's start/end points are to the target's.
+ *
+ * Score is the average of start-proximity and end-proximity,
+ * each mapped through a smooth decay: score = exp(-d / radius).
+ *
+ * @param {{x:number,y:number}} userStart
+ * @param {{x:number,y:number}} userEnd
+ * @param {{x:number,y:number}} targetStart
+ * @param {{x:number,y:number}} targetEnd
+ * @param {number} canvasSize - size of the drawing area (for normalization)
+ * @returns {number} 0-1 score (1 = perfect alignment)
+ */
+export function evaluateProximity(userStart, userEnd, targetStart, targetEnd, canvasSize) {
+  // Radius = 15% of canvas size — distances beyond this decay rapidly
+  const radius = canvasSize * 0.15;
+
+  const startDist = dist(userStart, targetStart);
+  const endDist = dist(userEnd, targetEnd);
+
+  const startScore = Math.exp(-startDist / radius);
+  const endScore = Math.exp(-endDist / radius);
+
+  return (startScore + endScore) / 2;
+}
+
+// ── Facet 2: Directionality ─────────────────────────────────
+
+/**
+ * Evaluate the directional match between user and target strokes.
+ *
+ * Uses the angle between start→end vectors. Also detects
+ * reversal (stroke drawn backwards) and orientation mismatch
+ * (horizontal vs vertical).
+ *
+ * @param {{x:number,y:number}} userStart
+ * @param {{x:number,y:number}} userEnd
+ * @param {{x:number,y:number}} targetStart
+ * @param {{x:number,y:number}} targetEnd
+ * @returns {{ score: number, reversed: boolean }}
+ */
+export function evaluateDirection(userStart, userEnd, targetStart, targetEnd) {
+  const userAngle = Math.atan2(userEnd.y - userStart.y, userEnd.x - userStart.x);
+  const targetAngle = Math.atan2(targetEnd.y - targetStart.y, targetEnd.x - targetStart.x);
+
+  const angleDiff = normalizeAngle(userAngle - targetAngle);
+
+  // Reversed if angle diff > 120 degrees
+  const reversed = angleDiff > (2 * Math.PI / 3);
+
+  // Score: 1.0 at 0 deg, 0.0 at 180 deg (linear mapping)
+  const score = Math.max(0, 1.0 - angleDiff / Math.PI);
+
+  return { score, reversed };
+}
+
+// ── Facet 3: Shape Similarity (DTW) ─────────────────────────
+
+/**
+ * Evaluate shape similarity using DTW on resampled, translation-
+ * and scale-normalized paths.
+ *
+ * Both paths are centered at origin and scaled to unit diagonal
+ * before comparison, so DTW only measures *shape* — not position
+ * or size (those are handled by other facets).
+ *
+ * @param {Array<{x:number,y:number}>} userResampled
+ * @param {Array<{x:number,y:number}>} targetResampled
+ * @param {number} bandFraction
+ * @returns {number} 0-1 score (1 = identical shape)
+ */
+export function evaluateShape(userResampled, targetResampled, bandFraction) {
+  const normalizeSeq = (pts) => {
+    let minX = Infinity; let maxX = -Infinity;
+    let minY = Infinity; let maxY = -Infinity;
+    for (const p of pts) {
+      if (p.x < minX) minX = p.x;
+      if (p.x > maxX) maxX = p.x;
+      if (p.y < minY) minY = p.y;
+      if (p.y > maxY) maxY = p.y;
+    }
+    const cx = (minX + maxX) / 2;
+    const cy = (minY + maxY) / 2;
+    const diag = Math.hypot(maxX - minX, maxY - minY) || 1;
+    return pts.map((p) => ({ x: (p.x - cx) / diag, y: (p.y - cy) / diag }));
+  };
+
+  const normUser = normalizeSeq(userResampled);
+  const normTarget = normalizeSeq(targetResampled);
+
+  const dtwDist = computeDTW(normUser, normTarget, bandFraction);
+
+  // Convert distance to 0-1 score using a tuned sigmoid
+  // sensitivity controls how fast score drops with distance
+  const sensitivity = 0.06;
+  return 1.0 / (1.0 + dtwDist / sensitivity);
+}
+
+// ── Facet 4: Length Ratio ───────────────────────────────────
+
+/**
+ * Evaluate how well the user's stroke length matches the target.
+ *
+ * Uses a ratio-based score that peaks at 1.0 when lengths are equal
+ * and decays symmetrically for too-short or too-long strokes.
+ *
+ * @param {number} userLen  - arc-length of user stroke
+ * @param {number} targetLen - arc-length of target stroke
+ * @returns {number} 0-1 score
+ */
+export function evaluateLength(userLen, targetLen) {
+  if (targetLen === 0) return userLen === 0 ? 1 : 0;
+  if (userLen === 0) return 0;
+
+  const ratio = userLen / targetLen;
+  // Score = 1 at ratio=1, drops off for ratios far from 1
+  // Using: 1 - |ln(ratio)| / ln(K), clamped to [0, 1]
+  // K=4 means ratio of 4x or 0.25x gives score=0
+  const K = 4;
+  const score = 1 - Math.abs(Math.log(ratio)) / Math.log(K);
+  return Math.max(0, Math.min(1, score));
+}
+
+// ── Facet 5: Curvature ──────────────────────────────────────
+
+/**
+ * Measure sinuosity of a polyline: ratio of arc-length to
+ * straight-line distance minus 1. Returns 0 for straight lines,
+ * larger values for curvier paths.
+ */
+function measureSinuosity(pts) {
+  if (pts.length < 3) return 0;
+  const arcLen = polylineLength(pts);
+  const chord = dist(pts[0], pts[pts.length - 1]);
+  if (chord < 1) return 0; // effectively a dot
+  return Math.max(0, (arcLen / chord) - 1);
+}
+
+/**
+ * Evaluate curvature similarity between user and target strokes.
+ *
+ * Compares sinuosity values — if the target is curved and the
+ * user drew straight (or vice versa), the score drops.
+ *
+ * @param {Array<{x:number,y:number}>} userPts
+ * @param {Array<{x:number,y:number}>} targetPts
+ * @returns {number} 0-1 score
+ */
+export function evaluateCurvature(userPts, targetPts) {
+  const userSin = measureSinuosity(userPts);
+  const targetSin = measureSinuosity(targetPts);
+
+  const diff = Math.abs(userSin - targetSin);
+
+  // Tolerance: curvature differences below 0.05 are perfect,
+  // differences above 0.6 are completely wrong
+  const tolerance = 0.6;
+  const score = 1 - Math.min(diff / tolerance, 1);
+  return Math.max(0, score);
+}
+
+// ── Master Evaluation ───────────────────────────────────────
+
+/**
+ * Run all 5 evaluation facets on a user stroke and return a
+ * detailed result.
+ *
+ * @param {Array<{x:number,y:number}>} userPoints - raw user stroke (canvas coords)
+ * @param {SVGPathElement} targetPathEl - SVG path element for the target stroke
+ * @param {number} scale - canvas-to-SVG scale factor
+ * @param {Object} config - resolved StrokeConfig
+ * @param {{ isFirstStroke: boolean }} options
+ * @returns {{
+ *   pass: boolean,
+ *   scores: { proximity: number, direction: number, shape: number, length: number, curvature: number },
+ *   thresholds: { proximity: number, direction: number, shape: number, length: number, curvature: number },
+ *   details: { reversed: boolean }
+ * }}
+ */
+export function evaluateStroke(userPoints, targetPathEl, scale, config, options = {}) {
+  const { isFirstStroke = false } = options;
+
+  // Minimum points to be considered a real stroke
+  if (userPoints.length < 3) {
+    return {
+      pass: false,
+      scores: {
+        proximity: 0, direction: 0, shape: 0, length: 0, curvature: 0,
+      },
+      thresholds: _getThresholds(config, isFirstStroke),
+      details: { reversed: false, reason: 'too_few_points' },
+    };
+  }
+
+  // ── Normalize user points to SVG coordinate space ──────
+  const userNorm = userPoints.map((p) => ({ x: p.x / scale, y: p.y / scale }));
+
+  // ── Extract target geometry ────────────────────────────
+  const targetLen = targetPathEl.getTotalLength();
+  const targetStart = targetPathEl.getPointAtLength(0);
+  const targetEnd = targetPathEl.getPointAtLength(targetLen);
+
+  const userStart = userNorm[0];
+  const userEnd = userNorm[userNorm.length - 1];
+
+  // SVG viewBox is 109x109, use that as the "canvas size" for normalization
+  const svgSize = 109;
+
+  // ── 1. Proximity ───────────────────────────────────────
+  const proximityScore = evaluateProximity(
+    userStart, userEnd, targetStart, targetEnd, svgSize,
+  );
+
+  // ── 2. Direction ───────────────────────────────────────
+  const { score: directionScore, reversed } = evaluateDirection(
+    userStart, userEnd, targetStart, targetEnd,
+  );
+
+  // ── 3. Shape (DTW) ────────────────────────────────────
+  const sampleCount = config.sampleCount || 32;
+  const userResampled = resamplePath(userNorm, sampleCount);
+
+  const targetResampled = [];
+  for (let i = 0; i < sampleCount; i++) {
+    const pt = targetPathEl.getPointAtLength((i / (sampleCount - 1)) * targetLen);
+    targetResampled.push({ x: pt.x, y: pt.y });
+  }
+
+  const shapeScore = evaluateShape(
+    userResampled, targetResampled, config.dtwBandWidth || 0.3,
+  );
+
+  // ── 4. Length ──────────────────────────────────────────
+  const userLen = polylineLength(userNorm);
+  const lengthScore = evaluateLength(userLen, targetLen);
+
+  // ── 5. Curvature ───────────────────────────────────────
+  const curvatureScore = evaluateCurvature(userResampled, targetResampled);
+
+  // ── Thresholds (adjusted for first stroke if applicable) ──
+  const thresholds = _getThresholds(config, isFirstStroke);
+
+  // ── Pass/fail determination ────────────────────────────
+  const pass = proximityScore >= thresholds.proximity
+    && directionScore >= thresholds.direction
+    && shapeScore >= thresholds.shape
+    && lengthScore >= thresholds.length
+    && curvatureScore >= thresholds.curvature;
+
+  return {
+    pass,
+    scores: {
+      proximity: proximityScore,
+      direction: directionScore,
+      shape: shapeScore,
+      length: lengthScore,
+      curvature: curvatureScore,
+    },
+    thresholds,
+    details: { reversed },
+  };
+}
+
+/**
+ * Build the threshold object from config, applying first-stroke
+ * leniency to the proximity threshold if applicable.
+ */
+function _getThresholds(config, isFirstStroke) {
+  const leniency = isFirstStroke ? (config.firstStrokeLeniency || 1) : 1;
+
+  return {
+    proximity: Math.max(0, config.proximityThreshold / leniency),
+    direction: config.directionThreshold,
+    shape: config.shapeThreshold,
+    length: config.lengthThreshold,
+    curvature: config.curvatureThreshold,
+  };
+}

client/src/views/Collection.vue

@@ -157,13 +157,14 @@
 /* eslint-disable no-unused-vars */
 import { computed, onMounted, ref } from 'vue';
 import { useI18n } from 'vue-i18n';
-import { useRouter } from 'vue-router';
+import { useRouter, useRoute } from 'vue-router';
 import { useAppStore } from '@/stores/appStore';
 import KanjiSvgViewer from '@/components/kanji/KanjiSvgViewer.vue';
 
 const { t } = useI18n();
 const store = useAppStore();
 const router = useRouter();
+const route = useRoute();
 
 const loading = ref(true);
 const showModal = ref(false);
@@ -184,6 +185,10 @@ const accuracyStats = computed(() => {
 
 onMounted(async () => {
   await store.fetchCollection();
+  // Pre-fill search from query param (e.g. navigated from Vocabularies component kanji)
+  if (route.query.search) {
+    searchQuery.value = route.query.search;
+  }
   loading.value = false;
 });
 

client/src/views/Review.vue

@@ -61,7 +61,7 @@
               elevation="8"
             )
 
-        .mb-4.d-flex.gap-2
+        .mb-2.d-flex.gap-2
           v-btn.text-caption.font-weight-bold.opacity-80(
             variant="text"
             color="amber-lighten-1"
@@ -74,7 +74,7 @@
 
         v-sheet.d-flex.flex-column.align-center.justify-center(
           width="100%"
-          min-height="80"
+          min-height="56"
           color="transparent"
         )
           transition(name="fade-slide" mode="out-in")
@@ -85,7 +85,7 @@
               ScrambleText(:text="$t('review.' + statusCode)")
 
           transition(name="scale")
-            v-chip.mt-2.font-weight-bold.elevation-2(
+            v-chip.mt-1.font-weight-bold.elevation-2(
               v-if="showNext && rankChange"
               :color="rankChange.type === 'up' ? 'teal-accent-4' : 'red-darken-1'"
               variant="flat"
@@ -94,7 +94,7 @@
               v-icon(start size="14") {{ rankChange.type === 'up' ? 'mdi-arrow-up-thick' : 'mdi-arrow-down-thick' }}
               | Level {{ currentItem.srsLevel }} → {{ rankChange.level }}
 
-        v-progress-linear.mt-4.progress-bar(
+        v-progress-linear.mt-2.progress-bar(
           v-model="progressPercent"
           color="primary"
           height="4"
@@ -402,4 +402,24 @@ const getStatusClass = (status) => {
   font-size: $font-sm;
   margin-left: $spacing-sm;
 }
+
+// Landscape optimizations (iPad, tablets)
+@media (orientation: landscape) and (max-height: 900px) {
+  .review-view-container {
+    padding-top: $spacing-xs !important;
+    padding-bottom: $spacing-xs !important;
+  }
+
+  .review-card {
+    padding: $spacing-md !important;
+
+    .text-h3 {
+      font-size: $font-xl !important;
+    }
+
+    .mb-6 {
+      margin-bottom: $spacing-sm !important;
+    }
+  }
+}
 </style>

client/src/views/Vocabularies.vue

@@ -0,0 +1,622 @@
+<template lang="pug">
+  v-container.vocab-page
+
+    //- Search + Filter toolbar
+    .vocab-toolbar
+      v-text-field.vocab-search(
+        v-model="searchQuery"
+        prepend-inner-icon="mdi-magnify"
+        :label="$t('vocabulary.searchLabel')"
+        :placeholder="$t('vocabulary.placeholder')"
+        variant="solo-filled"
+        density="comfortable"
+        bg-color="#2f3542"
+        color="white"
+        hide-details
+        clearable
+      )
+
+      v-btn.vocab-filter-toggle(
+        :variant="showFilters ? 'flat' : 'tonal'"
+        :color="hasActiveFilters ? '#00cec9' : 'grey'"
+        @click="showFilters = !showFilters"
+      )
+        v-icon(start) mdi-filter-variant
+        | {{ $t('vocabulary.filters') }}
+        v-badge.ml-2(
+          v-if="activeFilterCount > 0"
+          :content="activeFilterCount"
+          color="#00cec9"
+          inline
+        )
+
+    //- Active filter chips (always visible when filters active)
+    .vocab-active-filters(v-if="activeFilterLabels.length > 0 && !showFilters")
+      v-chip.mr-1.mb-1(
+        v-for="f in activeFilterLabels"
+        :key="f.key + f.value"
+        size="small"
+        color="#00cec9"
+        variant="tonal"
+        closable
+        @click:close="removeFilter(f.key, f.value)"
+      ) {{ f.label }}
+      v-btn.ml-1(
+        size="x-small"
+        variant="text"
+        color="grey"
+        @click="clearAllFilters"
+      ) {{ $t('vocabulary.clearAll') }}
+
+    //- Filter panel
+    v-expand-transition
+      .vocab-filter-panel(v-show="showFilters")
+        .filter-section
+          .filter-label {{ $t('vocabulary.filterType') }}
+          .filter-chips
+            v-chip(
+              v-for="t in TYPE_OPTIONS"
+              :key="t.value"
+              size="small"
+              :variant="filterTypes.includes(t.value) ? 'flat' : 'outlined'"
+              :color="filterTypes.includes(t.value) ? '#00cec9' : 'grey'"
+              @click="toggleFilter('types', t.value)"
+            ) {{ t.label }}
+
+        .filter-section
+          .filter-label {{ $t('vocabulary.filterVerbClass') }}
+          .filter-chips
+            v-chip(
+              v-for="t in VERB_CLASS_OPTIONS"
+              :key="t.value"
+              size="small"
+              :variant="filterVerbClass.includes(t.value) ? 'flat' : 'outlined'"
+              :color="filterVerbClass.includes(t.value) ? '#00cec9' : 'grey'"
+              @click="toggleFilter('verbClass', t.value)"
+            ) {{ t.label }}
+
+        .filter-section
+          .filter-label {{ $t('vocabulary.filterTransitivity') }}
+          .filter-chips
+            v-chip(
+              v-for="t in TRANSITIVITY_OPTIONS"
+              :key="t.value"
+              size="small"
+              :variant="filterTransitivity.includes(t.value) ? 'flat' : 'outlined'"
+              :color="filterTransitivity.includes(t.value) ? '#00cec9' : 'grey'"
+              @click="toggleFilter('transitivity', t.value)"
+            ) {{ t.label }}
+
+        .filter-section
+          .filter-label {{ $t('vocabulary.filterEnding') }}
+          .filter-chips
+            v-chip(
+              v-for="t in ENDING_OPTIONS"
+              :key="t.value"
+              size="small"
+              :variant="filterEndings.includes(t.value) ? 'flat' : 'outlined'"
+              :color="filterEndings.includes(t.value) ? '#00cec9' : 'grey'"
+              @click="toggleFilter('endings', t.value)"
+            ) {{ t.label }}
+
+        .filter-section
+          .filter-label {{ $t('vocabulary.filterLength') }}
+          .filter-chips
+            v-chip(
+              v-for="t in LENGTH_OPTIONS"
+              :key="t.value"
+              size="small"
+              :variant="filterLength.includes(t.value) ? 'flat' : 'outlined'"
+              :color="filterLength.includes(t.value) ? '#00cec9' : 'grey'"
+              @click="toggleFilter('length', t.value)"
+            ) {{ t.label }}
+
+        .filter-actions
+          .text-caption.text-grey {{ $t('vocabulary.matchCount', { n: filteredVocabularies.length }) }}
+          v-btn(
+            size="small"
+            variant="text"
+            color="grey"
+            @click="clearAllFilters"
+          ) {{ $t('vocabulary.clearAll') }}
+
+    //- Loading
+    .text-center.mt-10(v-if="loading")
+      v-progress-circular(indeterminate color="primary" size="48")
+      .text-body-2.text-grey.mt-4
+        ScrambleText(:text="$t('vocabulary.loading')")
+
+    //- Empty state
+    .text-center.mt-10.text-grey-lighten-1(
+      v-else-if="!loading && Object.keys(groupedItems).length === 0"
+    )
+      v-icon.mb-4(size="64" color="grey-darken-2") mdi-text-search-variant
+      .text-h6
+        ScrambleText(:text="$t('vocabulary.noMatches')")
+      .text-body-2
+        ScrambleText(:text="$t('vocabulary.tryDifferent')")
+
+    //- Vocabulary grid
+    .mb-8.fade-slide-up(
+      v-else
+      v-for="(group, level) in groupedItems"
+      :key="level"
+    )
+      .vocab-level-header
+        .vocab-level-badge {{ $t('vocabulary.levelHeader') }} {{ level }}
+        .vocab-level-line
+        .vocab-level-count {{ group.length }}
+
+      .vocab-grid
+        .vocab-card(
+          v-for="item in group"
+          :key="item._id"
+          @click="openDetail(item)"
+        )
+          .vc-top
+            .vc-char {{ item.characters }}
+            .vc-reading {{ getPrimaryReading(item) }}
+          .vc-bottom
+            .vc-meaning {{ item.meanings[0] }}
+
+    //- Detail modal
+    v-dialog(
+      v-model="showModal"
+      max-width="480"
+      transition="dialog-bottom-transition"
+    )
+      v-card.pa-5.pt-6.rounded-xl.border-subtle.vocab-detail-card(color="#1e1e24")
+        .d-flex.justify-space-between.align-center.px-2.mb-2
+          .text-caption.text-grey
+            ScrambleText(:text="$t('vocabulary.levelLabel') + ' ' + selectedItem?.level")
+          .d-flex.flex-wrap.gap-2
+            v-chip(
+              v-for="pos in selectedItem?.partsOfSpeech"
+              :key="pos"
+              size="x-small"
+              color="#00cec9"
+              variant="tonal"
+            ) {{ formatPOS(pos) }}
+
+        .text-h3.font-weight-bold.text-center.mb-2.vocab-detail-char {{ selectedItem?.characters }}
+
+        .d-flex.flex-wrap.gap-2.justify-center.mb-4
+          v-chip(
+            v-for="(m, idx) in selectedItem?.meanings"
+            :key="idx"
+            :color="idx === 0 ? '#00cec9' : 'grey'"
+            :variant="idx === 0 ? 'flat' : 'outlined'"
+            size="small"
+          ) {{ m }}
+
+        .vocab-readings-container.mb-4
+          .vocab-reading-group(v-for="r in selectedItem?.readings" :key="r.reading")
+            .vocab-reading-value(:class="{ 'is-primary': r.primary }") {{ r.reading }}
+            v-chip.ml-2(
+              v-if="r.primary"
+              size="x-small"
+              color="#00cec9"
+              variant="tonal"
+            )
+              ScrambleText(:text="$t('vocabulary.primary')")
+
+        .vocab-audio-row.mb-5
+          v-btn.vocab-audio-btn(
+            variant="tonal"
+            :color="hasMaleAudio ? '#00cec9' : 'grey-darken-2'"
+            :loading="audioPlayingGender === 'male'"
+            :disabled="!hasMaleAudio"
+            size="small"
+            prepend-icon="mdi-account"
+            @click="playAudio('male')"
+          )
+            | {{ $t('vocabulary.listenMale') }}
+          v-btn.vocab-audio-btn(
+            variant="tonal"
+            :color="hasFemaleAudio ? '#00cec9' : 'grey-darken-2'"
+            :loading="audioPlayingGender === 'female'"
+            :disabled="!hasFemaleAudio"
+            size="small"
+            prepend-icon="mdi-account-outline"
+            @click="playAudio('female')"
+          )
+            | {{ $t('vocabulary.listenFemale') }}
+
+        .vocab-sentences-section.mb-5(v-if="selectedItem?.contextSentences?.length")
+          .text-caption.text-grey-darken-1.text-uppercase.mb-3.font-weight-bold
+            ScrambleText(:text="$t('vocabulary.exampleSentences')")
+          .vocab-sentence(v-for="(s, idx) in selectedItem.contextSentences" :key="idx")
+            .vocab-sentence-ja {{ s.ja }}
+            .vocab-sentence-en {{ s.en }}
+
+        //- Collapsible mnemonics
+        .vocab-collapsible.mb-5(
+          v-if="selectedItem?.meaningMnemonic || selectedItem?.readingMnemonic"
+        )
+          v-btn.vocab-collapse-toggle(
+            variant="text"
+            size="small"
+            color="grey"
+            block
+            :prepend-icon="showMnemonics ? 'mdi-chevron-up' : 'mdi-chevron-down'"
+            @click="showMnemonics = !showMnemonics"
+          )
+            ScrambleText(:text="$t('vocabulary.mnemonics')")
+
+          v-expand-transition
+            .vocab-collapse-content(v-show="showMnemonics")
+              .vocab-mnemonic-section.mb-3(v-if="selectedItem?.meaningMnemonic")
+                .text-caption.text-grey-darken-1.text-uppercase.mb-2.font-weight-bold
+                  ScrambleText(:text="$t('vocabulary.meaningMnemonic')")
+                .text-body-2.text-grey-lighten-1.mnemonic-text {{ selectedItem.meaningMnemonic }}
+
+              .vocab-mnemonic-section(v-if="selectedItem?.readingMnemonic")
+                .text-caption.text-grey-darken-1.text-uppercase.mb-2.font-weight-bold
+                  ScrambleText(:text="$t('vocabulary.readingMnemonic')")
+                .text-body-2.text-grey-lighten-1.mnemonic-text {{ selectedItem.readingMnemonic }}
+
+        .vocab-components-section.mb-5(v-if="componentKanji.length > 0")
+          .text-caption.text-grey-darken-1.text-uppercase.mb-2.font-weight-bold
+            ScrambleText(:text="$t('vocabulary.components')")
+          .d-flex.flex-wrap.gap-2.justify-center
+            v-chip(
+              v-for="k in componentKanji"
+              :key="k._id || k.wkSubjectId"
+              variant="outlined"
+              color="grey-lighten-1"
+              @click.stop="navigateToKanji(k)"
+            )
+              span.font-weight-bold.mr-1 {{ k.char }}
+              span.text-caption.text-grey {{ k.meaning }}
+
+        v-btn.text-white.mt-2(
+          block
+          color="#2f3542"
+          @click="showModal = false"
+        )
+          ScrambleText(:text="$t('vocabulary.close')")
+</template>
+
+<script setup>
+/* eslint-disable no-unused-vars */
+import { computed, onMounted, ref } from 'vue';
+import { useI18n } from 'vue-i18n';
+import { useRouter } from 'vue-router';
+import { useAppStore } from '@/stores/appStore';
+
+const { t } = useI18n();
+const router = useRouter();
+const store = useAppStore();
+
+const loading = ref(true);
+const showModal = ref(false);
+const selectedItem = ref(null);
+const searchQuery = ref('');
+const audioPlayingGender = ref(null);
+const showFilters = ref(false);
+const showMnemonics = ref(false);
+
+let currentAudio = null;
+
+// ── Filter definitions ──────────────────────────────────────
+
+const TYPE_OPTIONS = [
+  { value: 'noun', label: 'Noun' },
+  { value: 'verb', label: 'Verb' },
+  { value: 'i_adjective', label: 'い Adj.' },
+  { value: 'na_adjective', label: 'な Adj.' },
+  { value: 'adverb', label: 'Adverb' },
+  { value: 'numeral', label: 'Numeral' },
+  { value: 'counter', label: 'Counter' },
+  { value: 'suffix', label: 'Suffix' },
+  { value: 'prefix', label: 'Prefix' },
+  { value: 'expression', label: 'Expression' },
+];
+
+const VERB_CLASS_OPTIONS = [
+  { value: 'godan_verb', label: 'Godan (五段)' },
+  { value: 'ichidan_verb', label: 'Ichidan (一段)' },
+  { value: 'suru_verb', label: 'Suru (する)' },
+];
+
+const TRANSITIVITY_OPTIONS = [
+  { value: 'transitive_verb', label: 'Transitive' },
+  { value: 'intransitive_verb', label: 'Intransitive' },
+];
+
+const ENDING_OPTIONS = [
+  { value: 'eru', label: '〜える' },
+  { value: 'iru', label: '〜いる' },
+  { value: 'aru', label: '〜ある' },
+  { value: 'uru', label: '〜うる' },
+  { value: 'oru', label: '〜おる' },
+  { value: 'su', label: '〜す' },
+  { value: 'ku', label: '〜く' },
+  { value: 'gu', label: '〜ぐ' },
+  { value: 'mu', label: '〜む' },
+  { value: 'tsu', label: '〜つ' },
+  { value: 'nu', label: '〜ぬ' },
+  { value: 'bu', label: '〜ぶ' },
+];
+
+const LENGTH_OPTIONS = [
+  { value: '1', label: '1 Char' },
+  { value: '2', label: '2 Char' },
+  { value: '3', label: '3 Char' },
+  { value: '4+', label: '4+ Char' },
+];
+
+// Use individual refs for reliable Vue reactivity tracking
+const filterTypes = ref([]);
+const filterVerbClass = ref([]);
+const filterTransitivity = ref([]);
+const filterEndings = ref([]);
+const filterLength = ref([]);
+
+const filterRefs = {
+  types: filterTypes,
+  verbClass: filterVerbClass,
+  transitivity: filterTransitivity,
+  endings: filterEndings,
+  length: filterLength,
+};
+
+const ENDING_MAP = {
+  eru: ['える', 'エル'],
+  iru: ['いる', 'イル'],
+  aru: ['ある', 'アル'],
+  uru: ['うる', 'ウル'],
+  oru: ['おる', 'オル'],
+  su: ['す', 'ス'],
+  ku: ['く', 'ク'],
+  gu: ['ぐ', 'グ'],
+  mu: ['む', 'ム'],
+  tsu: ['つ', 'ツ'],
+  nu: ['ぬ', 'ヌ'],
+  bu: ['ぶ', 'ブ'],
+};
+
+// ── Filter actions ──────────────────────────────────────────
+
+const toggleFilter = (key, value) => {
+  const r = filterRefs[key];
+  const idx = r.value.indexOf(value);
+  if (idx >= 0) {
+    r.value = r.value.filter((v) => v !== value);
+  } else {
+    r.value = [...r.value, value];
+  }
+};
+
+const removeFilter = (key, value) => {
+  const r = filterRefs[key];
+  r.value = r.value.filter((v) => v !== value);
+};
+
+const clearAllFilters = () => {
+  filterTypes.value = [];
+  filterVerbClass.value = [];
+  filterTransitivity.value = [];
+  filterEndings.value = [];
+  filterLength.value = [];
+};
+
+// ── Filter computeds ────────────────────────────────────────
+
+const activeFilterCount = computed(() => (
+  filterTypes.value.length
+  + filterVerbClass.value.length
+  + filterTransitivity.value.length
+  + filterEndings.value.length
+  + filterLength.value.length
+));
+
+const hasActiveFilters = computed(() => activeFilterCount.value > 0);
+
+const activeFilterLabels = computed(() => {
+  const labels = [];
+  const addLabels = (key, arr, options) => {
+    arr.forEach((v) => {
+      const opt = options.find((o) => o.value === v);
+      if (opt) labels.push({ key, value: v, label: opt.label });
+    });
+  };
+  addLabels('types', filterTypes.value, TYPE_OPTIONS);
+  addLabels('verbClass', filterVerbClass.value, VERB_CLASS_OPTIONS);
+  addLabels('transitivity', filterTransitivity.value, TRANSITIVITY_OPTIONS);
+  addLabels('endings', filterEndings.value, ENDING_OPTIONS);
+  addLabels('length', filterLength.value, LENGTH_OPTIONS);
+  return labels;
+});
+
+// ── Helpers ─────────────────────────────────────────────────
+
+const getPrimaryReading = (item) => {
+  if (!item.readings?.length) return '';
+  const primary = item.readings.find((r) => r.primary);
+  return primary ? primary.reading : item.readings[0].reading;
+};
+
+const getAudiosByGender = (gender) => {
+  const audios = selectedItem.value?.pronunciationAudios || [];
+  return audios.filter((a) => a.gender === gender);
+};
+
+const hasMaleAudio = computed(() => getAudiosByGender('male').length > 0);
+const hasFemaleAudio = computed(() => getAudiosByGender('female').length > 0);
+
+// ── Data loading ────────────────────────────────────────────
+
+onMounted(async () => {
+  await store.fetchVocabularies();
+  loading.value = false;
+});
+
+// ── Filtered data ───────────────────────────────────────────
+
+const filteredVocabularies = computed(() => {
+  let items = store.vocabularies;
+
+  // Text search
+  if (searchQuery.value) {
+    const q = searchQuery.value.toLowerCase().trim();
+    items = items.filter((item) => {
+      if (item.characters && item.characters.includes(q)) return true;
+      if (item.meanings && item.meanings.some((m) => m.toLowerCase().includes(q))) return true;
+      if (item.readings && item.readings.some((r) => r.reading.includes(q))) return true;
+      return false;
+    });
+  }
+
+  // Read all filter refs explicitly so Vue tracks them
+  const fTypes = filterTypes.value;
+  const fVerbClass = filterVerbClass.value;
+  const fTransitivity = filterTransitivity.value;
+  const fEndings = filterEndings.value;
+  const fLength = filterLength.value;
+
+  if (fTypes.length + fVerbClass.length + fTransitivity.length + fEndings.length + fLength.length === 0) {
+    return items;
+  }
+
+  return items.filter((item) => {
+    const pos = item.partsOfSpeech || [];
+    // Normalize: convert spaces to underscores to match filter values
+    const normalizedPos = pos.map((p) => p.replace(/\s+/g, '_'));
+
+    // Type filter (OR within category)
+    if (fTypes.length > 0) {
+      const typeMatch = fTypes.some((ft) => {
+        if (ft === 'verb') return normalizedPos.some((p) => p.includes('verb'));
+        return normalizedPos.includes(ft);
+      });
+      if (!typeMatch) return false;
+    }
+
+    // Verb class filter
+    if (fVerbClass.length > 0) {
+      if (!fVerbClass.some((v) => normalizedPos.includes(v))) return false;
+    }
+
+    // Transitivity filter
+    if (fTransitivity.length > 0) {
+      if (!fTransitivity.some((v) => normalizedPos.includes(v))) return false;
+    }
+
+    // Ending filter
+    if (fEndings.length > 0) {
+      const reading = getPrimaryReading(item);
+      const endingMatch = fEndings.some((e) => {
+        const suffixes = ENDING_MAP[e] || [];
+        return suffixes.some((s) => reading.endsWith(s));
+      });
+      if (!endingMatch) return false;
+    }
+
+    // Length filter
+    if (fLength.length > 0) {
+      const len = (item.characters || '').length;
+      const lenMatch = fLength.some((l) => {
+        if (l === '1') return len === 1;
+        if (l === '2') return len === 2;
+        if (l === '3') return len === 3;
+        if (l === '4+') return len >= 4;
+        return false;
+      });
+      if (!lenMatch) return false;
+    }
+
+    return true;
+  });
+});
+
+const groupedItems = computed(() => {
+  const groups = {};
+  filteredVocabularies.value.forEach((i) => {
+    if (!groups[i.level]) groups[i.level] = [];
+    groups[i.level].push(i);
+  });
+
+  const sorted = {};
+  Object.keys(groups)
+    .sort((a, b) => parseInt(a) - parseInt(b))
+    .forEach((k) => { sorted[k] = groups[k]; });
+  return sorted;
+});
+
+const componentKanji = computed(() => {
+  if (!selectedItem.value?.componentSubjectIds?.length) return [];
+  return selectedItem.value.componentSubjectIds
+    .map((id) => store.collection.find((k) => k.wkSubjectId === id))
+    .filter(Boolean);
+});
+
+// ── Actions ─────────────────────────────────────────────────
+
+const openDetail = (item) => {
+  selectedItem.value = item;
+  showMnemonics.value = false;
+  showModal.value = true;
+};
+
+const playAudio = (gender) => {
+  const audios = getAudiosByGender(gender);
+  if (audios.length === 0) return;
+
+  if (currentAudio) {
+    currentAudio.pause();
+    currentAudio = null;
+  }
+
+  const pick = audios[Math.floor(Math.random() * audios.length)];
+
+  audioPlayingGender.value = gender;
+  currentAudio = new Audio(pick.url);
+
+  currentAudio.addEventListener('ended', () => {
+    audioPlayingGender.value = null;
+    currentAudio = null;
+  });
+  currentAudio.addEventListener('error', () => {
+    audioPlayingGender.value = null;
+    currentAudio = null;
+  });
+  currentAudio.play().catch(() => {
+    audioPlayingGender.value = null;
+    currentAudio = null;
+  });
+};
+
+const navigateToKanji = (kanji) => {
+  showModal.value = false;
+  router.push({ path: '/collection', query: { search: kanji.char } });
+};
+
+// Normalize POS: handle both "na adjective" and "na_adjective"
+const formatPOS = (pos) => pos
+  .replace(/_/g, ' ')
+  .split(' ')
+  .map((w) => w.charAt(0).toUpperCase() + w.slice(1))
+  .join(' ');
+
+const formatPOSShort = (pos) => {
+  const normalized = pos.replace(/\s+/g, '_');
+  const POS_SHORT = {
+    noun: 'N',
+    transitive_verb: 'Vt',
+    intransitive_verb: 'Vi',
+    godan_verb: '五',
+    ichidan_verb: '一',
+    suru_verb: 'する',
+    i_adjective: 'い',
+    na_adjective: 'な',
+    adverb: 'Adv',
+    numeral: '#',
+    counter: 'Ctr',
+    suffix: 'Sfx',
+    prefix: 'Pfx',
+    expression: 'Exp',
+  };
+  return POS_SHORT[normalized] || pos.charAt(0).toUpperCase();
+};
+</script>

docker-compose.dev.yml

@@ -14,17 +14,26 @@ services:
     build: 
       context: ./server
     container_name: zen_server
+    ports:
+      - "3000:3000"
     env_file:
       - ./server/.env
+    depends_on:
+      - mongo
     networks:
       - zen-network
 
   client:
     build: 
       context: ./client
+      target: dev-stage
     container_name: zen_client
+    ports:
+      - "5173:5173"
     env_file:
       - ./client/.env
+    volumes:
+      - ./client/src:/app/src
     depends_on:
       - server
     networks:

server/seed-test-data.js

@@ -0,0 +1,393 @@
+/**
+ * seed-test-data.js
+ *
+ * Seeds a test user and sample kanji into the local MongoDB.
+ * Run from host: docker exec zen_server node /app/seed-test-data.js
+ *
+ * After seeding, use API key "test-key-12345" to log in.
+ * The auth service is patched at runtime — this script inserts the
+ * user directly so no WaniKani API call is needed.
+ */
+
+import mongoose from 'mongoose';
+import { User } from './src/models/User.js';
+import { StudyItem } from './src/models/StudyItem.js';
+import { Vocabulary } from './src/models/Vocabulary.js';
+
+const MONGO_URI = process.env.MONGO_URI || 'mongodb://mongo:27017/zenkanji';
+const TEST_API_KEY = 'test-key-12345';
+
+// Sample kanji for testing stroke drawing
+const SAMPLE_KANJI = [
+  { wkSubjectId: 440, char: '一', meaning: 'One', level: 1, onyomi: ['イチ', 'イツ'], kunyomi: ['ひと'] },
+  { wkSubjectId: 441, char: '二', meaning: 'Two', level: 1, onyomi: ['ニ'], kunyomi: ['ふた'] },
+  { wkSubjectId: 442, char: '三', meaning: 'Three', level: 1, onyomi: ['サン'], kunyomi: ['み'] },
+  { wkSubjectId: 443, char: '十', meaning: 'Ten', level: 1, onyomi: ['ジュウ'], kunyomi: ['とお'] },
+  { wkSubjectId: 444, char: '人', meaning: 'Person', level: 1, onyomi: ['ジン', 'ニン'], kunyomi: ['ひと'] },
+  { wkSubjectId: 445, char: '大', meaning: 'Big', level: 1, onyomi: ['ダイ', 'タイ'], kunyomi: ['おお'] },
+  { wkSubjectId: 446, char: '山', meaning: 'Mountain', level: 1, onyomi: ['サン'], kunyomi: ['やま'] },
+  { wkSubjectId: 447, char: '川', meaning: 'River', level: 1, onyomi: ['セン'], kunyomi: ['かわ'] },
+  { wkSubjectId: 448, char: '口', meaning: 'Mouth', level: 1, onyomi: ['コウ', 'ク'], kunyomi: ['くち'] },
+  { wkSubjectId: 449, char: '日', meaning: 'Day / Sun', level: 1, onyomi: ['ニチ', 'ジツ'], kunyomi: ['ひ'] },
+  { wkSubjectId: 450, char: '月', meaning: 'Moon / Month', level: 1, onyomi: ['ゲツ', 'ガツ'], kunyomi: ['つき'] },
+  { wkSubjectId: 451, char: '水', meaning: 'Water', level: 1, onyomi: ['スイ'], kunyomi: ['みず'] },
+  { wkSubjectId: 452, char: '火', meaning: 'Fire', level: 2, onyomi: ['カ'], kunyomi: ['ひ'] },
+  { wkSubjectId: 453, char: '木', meaning: 'Tree / Wood', level: 2, onyomi: ['ボク', 'モク'], kunyomi: ['き'] },
+  { wkSubjectId: 454, char: '金', meaning: 'Gold / Money', level: 2, onyomi: ['キン', 'コン'], kunyomi: ['かね'] },
+  { wkSubjectId: 455, char: '土', meaning: 'Earth / Soil', level: 2, onyomi: ['ド', 'ト'], kunyomi: ['つち'] },
+];
+
+// Sample vocabulary for testing the vocabulary browser
+const SAMPLE_VOCAB = [
+  // Level 1
+  {
+    wkSubjectId: 2467, characters: '一', level: 1,
+    meanings: ['One'],
+    readings: [{ reading: 'いち', primary: true }],
+    partsOfSpeech: ['numeral'],
+    meaningMnemonic: 'As a vocab, this is the number one. When a kanji is all alone with no okurigana (hiragana attached to the kanji), it usually uses its on\'yomi reading.',
+    readingMnemonic: 'Since this word is made up of a single kanji with no hiragana, you should use the on\'yomi reading. The on\'yomi reading for this kanji is いち.',
+    componentSubjectIds: [440],
+    contextSentences: [
+      { ja: '一は一番小さい正の整数です。', en: 'One is the smallest positive integer.' },
+      { ja: 'もう一ください。', en: 'One more, please.' },
+    ],
+  },
+  {
+    wkSubjectId: 2468, characters: '一つ', level: 1,
+    meanings: ['One Thing'],
+    readings: [{ reading: 'ひとつ', primary: true }],
+    partsOfSpeech: ['numeral'],
+    meaningMnemonic: 'This word means one thing, as in counting things. The つ on the end is the counter for things.',
+    readingMnemonic: 'Since there\'s okurigana on this word, you know it\'s going to be a kun\'yomi reading. Think about it as "one thing that you hit."',
+    componentSubjectIds: [440],
+  },
+  {
+    wkSubjectId: 2469, characters: '二', level: 1,
+    meanings: ['Two'],
+    readings: [{ reading: 'に', primary: true }],
+    partsOfSpeech: ['numeral'],
+    meaningMnemonic: 'When this kanji is by itself with no okurigana, it takes on the meaning of two, the number.',
+    readingMnemonic: 'Since this is a single kanji with no okurigana, you should use the on\'yomi reading. The reading is に.',
+    componentSubjectIds: [441],
+  },
+  {
+    wkSubjectId: 2470, characters: '二つ', level: 1,
+    meanings: ['Two Things'],
+    readings: [{ reading: 'ふたつ', primary: true }],
+    partsOfSpeech: ['numeral'],
+    meaningMnemonic: 'This is two things. You know it\'s a counter because of the つ on the end.',
+    readingMnemonic: 'Since this word has okurigana, you know it\'s a kun\'yomi word. Think of "two footsies."',
+    componentSubjectIds: [441],
+  },
+  {
+    wkSubjectId: 2471, characters: '十', level: 1,
+    meanings: ['Ten'],
+    readings: [{ reading: 'じゅう', primary: true }],
+    partsOfSpeech: ['numeral'],
+    meaningMnemonic: 'When the kanji is all alone with no okurigana, it is the number ten.',
+    readingMnemonic: 'Since this word is a single kanji with no okurigana, you should use the on\'yomi reading. It\'s じゅう.',
+    componentSubjectIds: [443],
+  },
+  {
+    wkSubjectId: 2472, characters: '人', level: 1,
+    meanings: ['Person'],
+    readings: [{ reading: 'ひと', primary: true }, { reading: 'じん', primary: false }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'As a standalone word, this kanji means person.',
+    readingMnemonic: 'When this is a standalone word, it uses the kun\'yomi reading ひと.',
+    componentSubjectIds: [444],
+  },
+  {
+    wkSubjectId: 2473, characters: '大人', level: 1,
+    meanings: ['Adult', 'Grown-up'],
+    readings: [{ reading: 'おとな', primary: true }],
+    partsOfSpeech: ['noun', 'na_adjective'],
+    meaningMnemonic: 'A big person is an adult. Pretty straightforward, right?',
+    readingMnemonic: 'This is a jukujikun word, meaning it ignores all the usual reading rules. You just have to remember that おとな is the reading.',
+    componentSubjectIds: [445, 444],
+    contextSentences: [
+      { ja: '大人になったら何になりたいですか？', en: 'What do you want to be when you grow up?' },
+      { ja: 'この映画は大人向けです。', en: 'This movie is intended for adults.' },
+      { ja: '大人二人と子供一人です。', en: 'Two adults and one child.' },
+    ],
+  },
+  {
+    wkSubjectId: 2474, characters: '大きい', level: 1,
+    meanings: ['Big', 'Large'],
+    readings: [{ reading: 'おおきい', primary: true }],
+    partsOfSpeech: ['i_adjective'],
+    meaningMnemonic: 'This is an adjective meaning big or large.',
+    readingMnemonic: 'The okurigana tells you to use the kun\'yomi reading. The reading is おおきい.',
+    componentSubjectIds: [445],
+  },
+  {
+    wkSubjectId: 2475, characters: '山', level: 1,
+    meanings: ['Mountain'],
+    readings: [{ reading: 'やま', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'As a word on its own, this kanji simply means mountain.',
+    readingMnemonic: 'When this is a standalone word, it uses the kun\'yomi reading やま.',
+    componentSubjectIds: [446],
+  },
+  {
+    wkSubjectId: 2476, characters: '口', level: 1,
+    meanings: ['Mouth'],
+    readings: [{ reading: 'くち', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'When this kanji is alone, it means mouth.',
+    readingMnemonic: 'This is a standalone word so it uses the kun\'yomi reading くち.',
+    componentSubjectIds: [448],
+  },
+  {
+    wkSubjectId: 2477, characters: '入り口', level: 1,
+    meanings: ['Entrance', 'Entry'],
+    readings: [{ reading: 'いりぐち', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'The mouth where you enter — that\'s the entrance!',
+    readingMnemonic: 'This uses kun\'yomi readings for both kanji. The り comes from 入る (いる) and 口 becomes ぐち through rendaku.',
+    componentSubjectIds: [448],
+  },
+  {
+    wkSubjectId: 2478, characters: '日', level: 1,
+    meanings: ['Day', 'Sun'],
+    readings: [{ reading: 'ひ', primary: true }, { reading: 'にち', primary: false }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'This word can mean either day or sun depending on context.',
+    readingMnemonic: 'As a standalone word, it usually reads ひ (kun\'yomi).',
+    componentSubjectIds: [449],
+  },
+
+  // Level 2
+  {
+    wkSubjectId: 2500, characters: '火', level: 2,
+    meanings: ['Fire'],
+    readings: [{ reading: 'ひ', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'As a standalone word, fire.',
+    readingMnemonic: 'Standalone word, uses kun\'yomi: ひ.',
+    componentSubjectIds: [452],
+  },
+  {
+    wkSubjectId: 2501, characters: '水', level: 2,
+    meanings: ['Water'],
+    readings: [{ reading: 'みず', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'By itself, this kanji is the word for water.',
+    readingMnemonic: 'As a standalone word, you use the kun\'yomi reading: みず.',
+    componentSubjectIds: [451],
+    contextSentences: [
+      { ja: '水を一杯ください。', en: 'A glass of water, please.' },
+      { ja: 'この水はとても冷たいです。', en: 'This water is very cold.' },
+    ],
+  },
+  {
+    wkSubjectId: 2502, characters: '木', level: 2,
+    meanings: ['Tree', 'Wood'],
+    readings: [{ reading: 'き', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'On its own, this kanji means tree or wood.',
+    readingMnemonic: 'This standalone word uses kun\'yomi: き.',
+    componentSubjectIds: [453],
+  },
+  {
+    wkSubjectId: 2503, characters: '金', level: 2,
+    meanings: ['Gold', 'Money'],
+    readings: [{ reading: 'かね', primary: true }, { reading: 'きん', primary: false }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'This word means gold or money, depending on context.',
+    readingMnemonic: 'As a standalone noun, this uses the kun\'yomi reading かね.',
+    componentSubjectIds: [454],
+  },
+  {
+    wkSubjectId: 2504, characters: '土', level: 2,
+    meanings: ['Earth', 'Soil', 'Ground'],
+    readings: [{ reading: 'つち', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'By itself, this means earth, soil, or ground.',
+    readingMnemonic: 'Standalone word, uses kun\'yomi: つち.',
+    componentSubjectIds: [455],
+  },
+  {
+    wkSubjectId: 2505, characters: '火山', level: 2,
+    meanings: ['Volcano'],
+    readings: [{ reading: 'かざん', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'A fire mountain — that\'s a volcano! When fire comes from a mountain, it\'s erupting.',
+    readingMnemonic: 'Both kanji use on\'yomi here. 火 is か and 山 is ざん (rendaku of さん).',
+    componentSubjectIds: [452, 446],
+  },
+  {
+    wkSubjectId: 2506, characters: '人口', level: 2,
+    meanings: ['Population'],
+    readings: [{ reading: 'じんこう', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'Person mouths — if you count all the mouths, you get the population!',
+    readingMnemonic: 'Both kanji use on\'yomi readings here. 人 is じん and 口 is こう.',
+    componentSubjectIds: [444, 448],
+  },
+
+  // Level 3
+  {
+    wkSubjectId: 2550, characters: '三日', level: 3,
+    meanings: ['Three Days', 'Third Day'],
+    readings: [{ reading: 'みっか', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'Three days or the third day of the month.',
+    readingMnemonic: 'This is an exceptional reading. Japanese day counters have special readings for the first ten days. You just need to memorize みっか.',
+    componentSubjectIds: [442, 449],
+  },
+  {
+    wkSubjectId: 2551, characters: '大金', level: 3,
+    meanings: ['Large Sum of Money', 'Fortune'],
+    readings: [{ reading: 'たいきん', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'Big money — a large sum of money, or a fortune!',
+    readingMnemonic: 'Both kanji use on\'yomi. 大 is たい and 金 is きん.',
+    componentSubjectIds: [445, 454],
+  },
+  {
+    wkSubjectId: 2552, characters: '山火事', level: 3,
+    meanings: ['Wildfire', 'Forest Fire'],
+    readings: [{ reading: 'やまかじ', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'A mountain fire incident — that\'s a wildfire or forest fire!',
+    readingMnemonic: 'This uses kun\'yomi readings. Mountain is やま, fire is か, and incident/thing is じ.',
+    componentSubjectIds: [446, 452],
+  },
+  {
+    wkSubjectId: 2553, characters: '一人', level: 3,
+    meanings: ['Alone', 'One Person'],
+    readings: [{ reading: 'ひとり', primary: true }],
+    partsOfSpeech: ['noun', 'adverb'],
+    meaningMnemonic: 'One person — being alone.',
+    readingMnemonic: 'This is an exceptional reading: ひとり. It doesn\'t follow the usual on\'yomi or kun\'yomi patterns.',
+    componentSubjectIds: [440, 444],
+  },
+  {
+    wkSubjectId: 2554, characters: '二人', level: 3,
+    meanings: ['Two People', 'Pair', 'Couple'],
+    readings: [{ reading: 'ふたり', primary: true }],
+    partsOfSpeech: ['noun'],
+    meaningMnemonic: 'Two people — a pair or couple.',
+    readingMnemonic: 'Another exceptional reading: ふたり. Like ひとり, this is a set phrase with a unique reading.',
+    componentSubjectIds: [441, 444],
+    contextSentences: [
+      { ja: '二人で映画を見ました。', en: 'We watched a movie together (the two of us).' },
+    ],
+  },
+
+  // Verbs — transitive / intransitive pairs
+  {
+    wkSubjectId: 2600, characters: '入る', level: 3,
+    meanings: ['To Enter', 'To Go In'],
+    readings: [{ reading: 'はいる', primary: true }],
+    partsOfSpeech: ['intransitive_verb', 'godan_verb'],
+    meaningMnemonic: 'To enter or go into a place. This is the intransitive version — the subject enters on its own.',
+    readingMnemonic: 'The reading is はいる.',
+    componentSubjectIds: [],
+    contextSentences: [
+      { ja: '部屋に入ってください。', en: 'Please enter the room.' },
+      { ja: 'お風呂に入る。', en: 'To take a bath (literally: to enter the bath).' },
+    ],
+  },
+  {
+    wkSubjectId: 2601, characters: '入れる', level: 3,
+    meanings: ['To Insert', 'To Put In'],
+    readings: [{ reading: 'いれる', primary: true }],
+    partsOfSpeech: ['transitive_verb', 'ichidan_verb'],
+    meaningMnemonic: 'To put something in or insert. This is the transitive version — you are putting something into something else.',
+    readingMnemonic: 'The reading is いれる.',
+    componentSubjectIds: [],
+    contextSentences: [
+      { ja: 'コーヒーに砂糖を入れますか？', en: 'Do you put sugar in your coffee?' },
+      { ja: 'かばんに本を入れた。', en: 'I put the book in my bag.' },
+    ],
+  },
+  {
+    wkSubjectId: 2602, characters: '上がる', level: 3,
+    meanings: ['To Rise', 'To Go Up'],
+    readings: [{ reading: 'あがる', primary: true }],
+    partsOfSpeech: ['intransitive_verb', 'godan_verb'],
+    meaningMnemonic: 'To rise or go up. This is intransitive — things rise on their own.',
+    readingMnemonic: 'The reading is あがる.',
+    componentSubjectIds: [],
+    contextSentences: [
+      { ja: '温度が上がった。', en: 'The temperature went up.' },
+      { ja: '二階に上がってください。', en: 'Please go up to the second floor.' },
+    ],
+  },
+  {
+    wkSubjectId: 2603, characters: '上げる', level: 3,
+    meanings: ['To Raise', 'To Give'],
+    readings: [{ reading: 'あげる', primary: true }],
+    partsOfSpeech: ['transitive_verb', 'ichidan_verb'],
+    meaningMnemonic: 'To raise something up or to give something. This is transitive — you raise or give something.',
+    readingMnemonic: 'The reading is あげる.',
+    componentSubjectIds: [],
+    contextSentences: [
+      { ja: '手を上げてください。', en: 'Please raise your hand.' },
+      { ja: '友達にプレゼントを上げた。', en: 'I gave a present to my friend.' },
+    ],
+  },
+];
+
+async function seed() {
+  await mongoose.connect(MONGO_URI);
+  console.log('Connected to MongoDB');
+
+  // Create or find test user
+  let user = await User.findOne({ wkApiKey: TEST_API_KEY });
+  if (!user) {
+    user = await User.create({
+      wkApiKey: TEST_API_KEY,
+      tokenVersion: 0,
+      lastSync: new Date(),
+      stats: { totalReviews: 42, correctReviews: 35, currentStreak: 3, maxStreak: 7 },
+      settings: { batchSize: 20 },
+    });
+    console.log('Created test user');
+  } else {
+    console.log('Test user already exists');
+  }
+
+  // Insert study items (skip duplicates)
+  let inserted = 0;
+  for (const kanji of SAMPLE_KANJI) {
+    const exists = await StudyItem.findOne({ userId: user._id, wkSubjectId: kanji.wkSubjectId });
+    if (!exists) {
+      await StudyItem.create({
+        userId: user._id,
+        ...kanji,
+        srsLevel: 1,
+        nextReview: new Date(), // due now
+      });
+      inserted++;
+    }
+  }
+
+  console.log(`Inserted ${inserted} kanji (${SAMPLE_KANJI.length - inserted} already existed)`);
+
+  // Insert vocabulary items (skip duplicates)
+  let vocabInserted = 0;
+  for (const vocab of SAMPLE_VOCAB) {
+    const exists = await Vocabulary.findOne({ userId: user._id, wkSubjectId: vocab.wkSubjectId });
+    if (!exists) {
+      await Vocabulary.create({
+        userId: user._id,
+        ...vocab,
+      });
+      vocabInserted++;
+    }
+  }
+
+  console.log(`Inserted ${vocabInserted} vocabulary (${SAMPLE_VOCAB.length - vocabInserted} already existed)`);
+  console.log(`\n✅ Login with API key: ${TEST_API_KEY}\n`);
+
+  await mongoose.disconnect();
+}
+
+seed().catch((err) => {
+  console.error('Seed failed:', err);
+  process.exit(1);
+});

server/src/controllers/sync.controller.js

@@ -1,8 +1,19 @@
 import * as SyncService from '../services/sync.service.js';
+import { syncVocabulary } from '../services/vocabulary.service.js';
 
 export const sync = async (req, reply) => {
 	try {
 		const result = await SyncService.syncWithWaniKani(req.user);
+
+		// Also sync vocabulary data
+		try {
+			const vocabResult = await syncVocabulary(req.user);
+			result.vocabularyCount = vocabResult.count;
+		} catch (vocabErr) {
+			console.error('Vocabulary sync error (non-fatal):', vocabErr.message);
+			result.vocabularyCount = 0;
+		}
+
 		return reply.send(result);
 	} catch (error) {
 		return reply.code(500).send({ error: error.message });

server/src/controllers/vocabulary.controller.js

@@ -0,0 +1,6 @@
+import { Vocabulary } from '../models/Vocabulary.js';
+
+export const getVocabulary = async (req, reply) => {
+	const items = await Vocabulary.find({ userId: req.user._id }).sort({ level: 1 });
+	return reply.send(items);
+};

server/src/models/Vocabulary.js

@@ -0,0 +1,31 @@
+import mongoose from 'mongoose';
+
+const vocabularySchema = new mongoose.Schema({
+	userId: { type: mongoose.Schema.Types.ObjectId, ref: 'User', required: true },
+	wkSubjectId: { type: Number, required: true },
+	characters: { type: String, required: true },
+	meanings: { type: [String], default: [] },
+	readings: [{
+		reading: String,
+		primary: { type: Boolean, default: false }
+	}],
+	partsOfSpeech: { type: [String], default: [] },
+	level: { type: Number, required: true },
+	meaningMnemonic: { type: String, default: '' },
+	readingMnemonic: { type: String, default: '' },
+	componentSubjectIds: { type: [Number], default: [] },
+	pronunciationAudios: [{
+		url: String,
+		contentType: String,
+		gender: String
+	}],
+	contextSentences: [{
+		ja: String,
+		en: String
+	}]
+});
+
+vocabularySchema.index({ userId: 1, wkSubjectId: 1 }, { unique: true });
+vocabularySchema.index({ userId: 1, level: 1 });
+
+export const Vocabulary = mongoose.model('Vocabulary', vocabularySchema);

server/src/routes/v1.js

@@ -2,6 +2,7 @@ import { login, logout } from '../controllers/auth.controller.js';
 import { sync } from '../controllers/sync.controller.js';
 import { submitReview, submitLesson } from '../controllers/review.controller.js';
 import { getStats, getQueue, getLessonQueue, getCollection, updateSettings } from '../controllers/collection.controller.js';
+import { getVocabulary } from '../controllers/vocabulary.controller.js';
 
 async function routes(fastify, options) {
 	fastify.post('/api/auth/login', {
@@ -19,6 +20,7 @@ async function routes(fastify, options) {
 		privateParams.get('/api/queue', getQueue);
 		privateParams.get('/api/lessons', getLessonQueue);
 		privateParams.get('/api/collection', getCollection);
+		privateParams.get('/api/vocabulary', getVocabulary);
 		privateParams.post('/api/settings', updateSettings);
 	});
 }

server/src/services/auth.service.js

@@ -1,6 +1,10 @@
 import { User } from '../models/User.js';
 
 export const loginUser = async (apiKey) => {
+	// Allow test key to bypass WaniKani API validation in dev
+	const isTestKey = apiKey === 'test-key-12345';
+
+	if (!isTestKey) {
 		const response = await fetch('https://api.wanikani.com/v2/user', {
 			headers: { Authorization: `Bearer ${apiKey}` }
 		});
@@ -8,10 +12,12 @@ export const loginUser = async (apiKey) => {
 		if (response.status !== 200) {
 			throw new Error('Invalid API Key');
 		}
+	}
 
 	let user = await User.findOne({ wkApiKey: apiKey });
 
 	if (!user) {
+		if (isTestKey) throw new Error('Run seed script first: node /app/seed-test-data.js');
 		user = await User.create({
 			wkApiKey: apiKey,
 			tokenVersion: 0,

server/src/services/vocabulary.service.js

@@ -0,0 +1,111 @@
+import { Vocabulary } from '../models/Vocabulary.js';
+
+const WK_HEADERS = (apiKey) => ({
+	Authorization: `Bearer ${apiKey}`,
+	'Wanikani-Revision': '20170710'
+});
+
+export const syncVocabulary = async (user) => {
+	const apiKey = user.wkApiKey;
+	if (!apiKey) throw new Error('User has no WaniKani API Key');
+
+	console.log(`Starting vocabulary sync for user: ${user._id}`);
+
+	// Fetch all started vocabulary assignment subject IDs
+	let allSubjectIds = [];
+	let nextUrl = 'https://api.wanikani.com/v2/assignments?subject_types=vocabulary&started=true';
+
+	while (nextUrl) {
+		const res = await fetch(nextUrl, { headers: WK_HEADERS(apiKey) });
+		if (!res.ok) throw new Error(`WaniKani API Error: ${res.statusText}`);
+		const json = await res.json();
+		allSubjectIds = allSubjectIds.concat(json.data.map(d => d.data.subject_id));
+		nextUrl = json.pages.next_url;
+	}
+
+	if (allSubjectIds.length === 0) {
+		console.log('No started vocabulary found.');
+		return { count: 0 };
+	}
+
+	console.log(`Syncing ${allSubjectIds.length} vocabulary items...`);
+
+	// Fetch all subjects in chunks and upsert (insert or update)
+	const CHUNK_SIZE = 50;
+	let totalAudioCount = 0;
+	let totalSentenceCount = 0;
+
+	for (let i = 0; i < allSubjectIds.length; i += CHUNK_SIZE) {
+		const chunk = allSubjectIds.slice(i, i + CHUNK_SIZE);
+
+		const subRes = await fetch(`https://api.wanikani.com/v2/subjects?ids=${chunk.join(',')}`, {
+			headers: WK_HEADERS(apiKey)
+		});
+		const subJson = await subRes.json();
+		const vocabDataList = subJson.data;
+
+		const operations = vocabDataList.map(d => {
+			const allMeanings = (d.data.meanings || []).map(m => m.meaning);
+			const allReadings = (d.data.readings || []).map(r => ({
+				reading: r.reading,
+				primary: r.primary || false
+			}));
+
+			const rawMeaningMnemonic = d.data.meaning_mnemonic || '';
+			const meaningMnemonic = rawMeaningMnemonic.replace(/<[^>]*>/g, '');
+
+			const rawReadingMnemonic = d.data.reading_mnemonic || '';
+			const readingMnemonic = rawReadingMnemonic.replace(/<[^>]*>/g, '');
+
+			// Normalize parts of speech: "transitive verb" → "transitive_verb"
+			const partsOfSpeech = (d.data.parts_of_speech || [])
+				.map(p => p.replace(/\s+/g, '_'));
+
+			// Extract ALL pronunciation audios (don't filter by format)
+			const rawAudios = d.data.pronunciation_audios || [];
+			const pronunciationAudios = rawAudios.map(a => ({
+				url: a.url,
+				contentType: a.content_type,
+				gender: a.metadata?.gender || 'unknown'
+			}));
+
+			const rawSentences = d.data.context_sentences || [];
+			const contextSentences = rawSentences.map(s => ({
+				ja: s.ja,
+				en: s.en
+			}));
+
+			totalAudioCount += pronunciationAudios.length;
+			totalSentenceCount += contextSentences.length;
+
+			const update = {
+				characters: d.data.characters,
+				meanings: allMeanings,
+				readings: allReadings,
+				partsOfSpeech,
+				level: d.data.level,
+				meaningMnemonic,
+				readingMnemonic,
+				componentSubjectIds: d.data.component_subject_ids || [],
+				pronunciationAudios,
+				contextSentences
+			};
+
+			return {
+				updateOne: {
+					filter: { userId: user._id, wkSubjectId: d.id },
+					update: { $set: update },
+					upsert: true
+				}
+			};
+		});
+
+		if (operations.length > 0) {
+			await Vocabulary.bulkWrite(operations);
+		}
+	}
+
+	const finalCount = await Vocabulary.countDocuments({ userId: user._id });
+	console.log(`Vocabulary sync complete. Total: ${finalCount}, Audios: ${totalAudioCount}, Sentences: ${totalSentenceCount}`);
+	return { count: finalCount, audioCount: totalAudioCount, sentenceCount: totalSentenceCount };
+};