feat(docs-i18n): translate all documentation into 20 languages

All 181 docs markdown files translated into 20 languages (apps/docs/<locale>/**). Companion to the i18n code PR; admin-merged because the file count exceeds GitHub's per-PR CI trigger limit. Validated by pnpm i18n:check (all surfaces, 0 stale/missing) and a clean all-locale docs build.
2026-08-03 07:46:42 +02:00 · 2026-07-11 13:52:47 +08:00
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+---
+description: "以 AI 臉部偵測自動偵測並模糊影像中的臉部，用於隱私保護及符合 GDPR 的匿名化。"
+i18n_source_hash: fb861c12aea5
+i18n_provenance: human
+i18n_output_hash: 94edf3daf65b
+---
+
+# Face / PII Blur {#face-pii-blur}
+
+使用 AI 驅動的臉部偵測（MediaPipe）自動偵測並模糊影像中的臉部。
+
+## API Endpoint {#api-endpoint}
+
+`POST /api/v1/tools/image/blur-faces`
+
+**處理方式：** 非同步（回傳 202，透過 SSE 輪詢 `/api/v1/jobs/{jobId}/progress` 取得狀態）
+
+**模型套件：** `face-detection`（200-300 MB）
+
+## Parameters {#parameters}
+
+| Parameter | Type | Required | Default | Description |
+|-----------|------|----------|---------|-------------|
+| file | file | Yes | - | 影像檔案（multipart） |
+| blurRadius | number | No | `30` | 套用於偵測到臉部的模糊半徑（1-100） |
+| sensitivity | number | No | `0.5` | 臉部偵測靈敏度（0-1）。較低的值以較高的信心偵測較少的臉部 |
+
+## Example Request {#example-request}
+
+```bash
+curl -X POST http://localhost:1349/api/v1/tools/image/blur-faces \
+  -F "file=@group-photo.jpg" \
+  -F 'settings={"blurRadius":40,"sensitivity":0.3}'
+```
+
+## Response {#response}
+
+### Initial Response (202 Accepted) {#initial-response-202-accepted}
+
+```json
+{
+  "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
+  "async": true
+}
+```
+
+### Progress (SSE at `/api/v1/jobs/{jobId}/progress`) {#progress-sse-at-api-v1-jobs-jobid-progress}
+
+```
+event: progress
+data: {"phase":"processing","stage":"Detecting faces...","percent":40}
+```
+
+### Final Result (via SSE) {#final-result-via-sse}
+
+```json
+{
+  "phase": "complete",
+  "percent": 100,
+  "result": {
+    "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
+    "downloadUrl": "/api/v1/download/{jobId}/group-photo_blurred.jpg",
+    "originalSize": 450000,
+    "processedSize": 420000,
+    "facesDetected": 3,
+    "faces": [
+      {"x": 100, "y": 50, "w": 80, "h": 80},
+      {"x": 300, "y": 60, "w": 75, "h": 75},
+      {"x": 500, "y": 55, "w": 85, "h": 85}
+    ]
+  }
+}
+```
+
+### No Faces Detected {#no-faces-detected}
+
+若未找到臉部，結果會包含一則警告：
+
+```json
+{
+  "phase": "complete",
+  "percent": 100,
+  "result": {
+    "facesDetected": 0,
+    "warning": "No faces detected in this image. Try increasing detection sensitivity."
+  }
+}
+```
+
+## Notes {#notes}
+
+- 需要安裝 `face-detection` 模型套件（200-300 MB）。
+- 輸出格式會自動與輸入格式相符。
+- `faces` 陣列包含每個偵測到臉部的邊界框座標（x、y、width、height）。
+- 增加 `sensitivity`（越接近 1.0）以偵測更多臉部，包含部分被遮擋的臉部。
+- 透過自動解碼支援 HEIC/HEIF、RAW、TGA、PSD、EXR 及 HDR 輸入格式。