diff --git a/backend/.env.example b/backend/.env.example
index 31ae530..18a68d9 100644
--- a/backend/.env.example
+++ b/backend/.env.example
@@ -79,6 +79,7 @@ EMBEDDING_DIMENSION=1536             # Embedding 维度
 OCR_ACCESS_KEY_ID=修改此项为阿里云 OCR 访问密钥ID
 OCR_ACCESS_KEY_SECRET=修改此项为阿里云 OCR 访问密钥Secret
 OCR_ENDPOINT=修改此项为阿里云 OCR 终端节点
+OCR_TIMEOUT_SECONDS=120
 OCR_USE_LOCAL=false
 MODERATION_ENABLED=false
 
diff --git a/backend/core/config.py b/backend/core/config.py
index 827362a..c41b8bf 100644
--- a/backend/core/config.py
+++ b/backend/core/config.py
@@ -105,6 +105,7 @@ class Settings(BaseSettings):
     ocr_access_key_id: Optional[str] = None
     ocr_access_key_secret: Optional[str] = None
     ocr_endpoint: str = "ocr-api.cn-hangzhou.aliyuncs.com"  # OCR 服务端点
+    ocr_timeout_seconds: float = 120.0  # OCR 请求超时（含上传图片 body）
 
     # 微信小程序配置
     wechat_app_id: Optional[str] = None
diff --git a/backend/services/vector_service.py b/backend/services/vector_service.py
index f780993..a852651 100644
--- a/backend/services/vector_service.py
+++ b/backend/services/vector_service.py
@@ -205,15 +205,21 @@ class VectorService:
         
         # 初始化阿里云 OCR（图片、扫描 PDF、DOCX 内嵌图均依赖云端识别）
         self.ocr_engine = None
+        self._ocr_timeout_ms = int(settings.ocr_timeout_seconds * 1000)
         if ALIYUN_OCR_AVAILABLE and settings.ocr_access_key_id and settings.ocr_access_key_secret:
             try:
                 config = open_api_models.Config(
                     access_key_id=settings.ocr_access_key_id,
                     access_key_secret=settings.ocr_access_key_secret,
-                    endpoint=settings.ocr_endpoint
+                    endpoint=settings.ocr_endpoint,
+                    connect_timeout=self._ocr_timeout_ms,
+                    read_timeout=self._ocr_timeout_ms,
                 )
                 self.ocr_engine = OcrClient(config)
-                logger.info("✅ 阿里云 OCR 已启用，将使用云端 OCR 服务识别图片文字")
+                logger.info(
+                    "✅ 阿里云 OCR 已启用，将使用云端 OCR 服务识别图片文字 "
+                    f"(endpoint={settings.ocr_endpoint}, timeout={settings.ocr_timeout_seconds}s)"
+                )
             except Exception as e:
                 logger.warning(f"⚠️  阿里云 OCR 初始化失败: {e}")
         elif not ALIYUN_OCR_AVAILABLE:
@@ -261,7 +267,7 @@ class VectorService:
                 image_bytes = f.read()
             
             image_size_kb = len(image_bytes) / 1024
-            logger.debug(f"📊 [阿里云OCR] 图片大小: {image_size_kb:.2f}KB")
+            logger.info(f"📊 [阿里云OCR] 图片大小: {image_size_kb:.2f}KB")
             
             # 使用 StreamClient 读取字节流（阿里云 SDK 要求的格式）
             body_stream = StreamClient.read_from_bytes(image_bytes)
@@ -270,8 +276,13 @@ class VectorService:
             # 构建请求
             request = ocr_models.RecognizeGeneralRequest(body=body_stream)
             
-            # 运行时选项
-            runtime = util_models.RuntimeOptions()
+            # 运行时选项（默认超时过短会导致大图片 write timeout）
+            runtime = util_models.RuntimeOptions(
+                connect_timeout=self._ocr_timeout_ms,
+                read_timeout=self._ocr_timeout_ms,
+                autoretry=True,
+                max_attempts=2,
+            )
             
             logger.debug(f"☁️  [阿里云OCR] 调用 API: recognize_general_with_options")
             # 调用阿里云 OCR API（使用 with_options 版本）