diff --git a/api/main.py b/api/main.py
index ed5a485..5c2fadb 100644
--- a/api/main.py
+++ b/api/main.py
@@ -4284,16 +4284,50 @@ def fallback_product_view(index: int) -> dict:
     }
 
 
+def parse_product_view_response(raw: str, index: int) -> dict:
+    text = (raw or "").strip()
+    text = re.sub(r"^```(?:json)?\s*", "", text, flags=re.I).strip()
+    text = re.sub(r"\s*```$", "", text).strip()
+    match = re.search(r"\{[\s\S]*\}", text)
+    json_text = match.group(0) if match else text
+    try:
+        data = json.loads(json_text)
+    except Exception:
+        view_match = re.search(r'["\']?view["\']?\s*[:：]\s*["\']?([a-z0-9_]+)', text, flags=re.I)
+        note_match = re.search(
+            r'["\']?note["\']?\s*[:：]\s*["\']?([\s\S]*?)(?:["\']?\s*,\s*["\']?confidence|["\']?\s*[,}]\s*$)',
+            text,
+            flags=re.I,
+        )
+        confidence_match = re.search(r'["\']?confidence["\']?\s*[:：]\s*["\']?([0-9.]+)', text, flags=re.I)
+        data = {
+            "view": view_match.group(1) if view_match else "",
+            "note": note_match.group(1) if note_match else "",
+            "confidence": confidence_match.group(1) if confidence_match else 0.45,
+        }
+    view = str(data.get("view") or "").strip().strip('"\' ,。')
+    if view not in PRODUCT_VIEW_VALUES:
+        return fallback_product_view(index)
+    note = str(data.get("note") or "").strip().strip('"\' ,，。')
+    note = re.sub(r"\s+", " ", note)[:220] or f"{PRODUCT_VIEW_LABELS.get(view, view)}参考"
+    try:
+        confidence = max(0.0, min(1.0, float(data.get("confidence", 0.5))))
+    except Exception:
+        confidence = 0.5
+    return {"view": view, "note": note, "confidence": confidence}
+
+
 def analyze_product_view(ref_path: Path, index: int) -> dict:
     if not LLM_API_KEY:
         return fallback_product_view(index)
     img_b64 = base64.b64encode(ref_path.read_bytes()).decode("ascii")
     prompt = (
-        "You are inspecting a clean white-background product reference image for a SKG neck-and-shoulder wearable massage device. "
+        "You are inspecting a product reference image for a SKG neck-and-shoulder wearable massage device. The background may be white, black, or simple studio color. "
         "Classify the camera/view angle into exactly one enum: front, left_45, right_45, side_thickness, inner_contacts, back_bottom. "
         "Also write a concise Chinese note for video generation, focused on visible structure, asymmetry, thickness, inner massage contacts, buttons, opening width, and shoulder-neck wearing scale. "
         "If uncertain, choose the closest useful view; do not ask the user. "
-        "Output strict JSON only: {\"view\":\"front|left_45|right_45|side_thickness|inner_contacts|back_bottom\", \"note\":\"中文备注\", \"confidence\":0.0}."
+        "Output one-line strict JSON only. Do not use markdown or line breaks. "
+        "{\"view\":\"front|left_45|right_45|side_thickness|inner_contacts|back_bottom\", \"note\":\"中文备注\", \"confidence\":0.0}."
     )
     try:
         resp = llm().chat.completions.create(
@@ -4309,17 +4343,7 @@ def analyze_product_view(ref_path: Path, index: int) -> dict:
         raw = (resp.choices[0].message.content or "").strip()
         if not raw:
             raw = (getattr(resp.choices[0].message, "reasoning_content", "") or "").strip()
-        match = re.search(r"\{[\s\S]*\}", raw)
-        data = json.loads(match.group(0) if match else raw)
-        view = str(data.get("view") or "").strip()
-        if view not in PRODUCT_VIEW_VALUES:
-            return fallback_product_view(index)
-        note = str(data.get("note") or "").strip() or f"{PRODUCT_VIEW_LABELS.get(view, view)}参考"
-        try:
-            confidence = max(0.0, min(1.0, float(data.get("confidence", 0.5))))
-        except Exception:
-            confidence = 0.5
-        return {"view": view, "note": note, "confidence": confidence}
+        return parse_product_view_response(raw, index)
     except Exception as e:
         fallback = fallback_product_view(index)
         fallback["note"] = f"{fallback['note']} 识别失败：{str(e)[:80]}"
diff --git a/docs/source-analysis.html b/docs/source-analysis.html
index c41d9b1..3949732 100644
--- a/docs/source-analysis.html
+++ b/docs/source-analysis.html
@@ -950,6 +950,18 @@ SubjectAsset {
         <h2>变更记录</h2>
         <p>这个记录不是 git log 的替代品。它记录“产品理解发生了什么变化、影响了哪些源码、你以后描述需求时该怎么说”。后续每次改功能都要补一条。</p>
         <div class="changelog">
+          <article class="change">
+            <header>
+              <h3>2026-05-17 · 产品视角识别容错解析</h3>
+              <span class="tag blue">API</span>
+              <span class="tag cyan">Workflow</span>
+            </header>
+            <div class="body">
+              <p><strong>问题：</strong>视觉模型有时能判断视角，但返回的 JSON 含换行、引号或尾部格式问题，后端直接 <code>json.loads</code> 会失败，导致整张图被标成“识别失败”。</p>
+              <p><strong>改动：</strong><code>api/main.py</code> 新增 <code>parse_product_view_response</code>：先按严格 JSON 解析，失败后从原始输出里容错提取 <code>view</code>、<code>note</code> 和 <code>confidence</code>。同时收紧产品视角识别 prompt，要求模型输出单行 JSON。</p>
+              <p><strong>影响：</strong><code>POST /jobs/{id}/assets/product-views/analyze</code> 在模型输出不完全规范时也能保留视角结果，减少无意义 fallback；真正无法识别时才按上传顺序兜底。</p>
+            </div>
+          </article>
           <article class="change">
             <header>
               <h3>2026-05-17 · 产品素材池取消数量上限，单条生成自动选图</h3>