feat: add multilanguage sample

Author: ikesnowy

README.md

@@ -1244,7 +1244,49 @@ OpenAI 兼容 DashScope
 Python Java curl
 ```
 
+##### Multilanguage
 
+To invoke this built-in task, set `Parameters.OcrOptions.Task` to `multi_lan`. No additional text information needs to be provided.
+
+This task read the images and returns content in plain text(Support more languages).
+
+```csharp
+await using var file = File.OpenRead("multilanguage.jpg");
+var ossLink = await client.UploadTemporaryFileAsync("qwen-vl-ocr-latest", file, "multilanguage.jpg");
+Console.WriteLine($"File uploaded: {ossLink}");
+var messages =
+    new List<MultimodalMessage> { MultimodalMessage.User([MultimodalMessageContent.ImageContent(ossLink)]) };
+var completion = await client.GetMultimodalGenerationAsync(
+    new ModelRequest<MultimodalInput, IMultimodalParameters>()
+    {
+        Model = "qwen-vl-ocr-latest",
+        Input = new MultimodalInput { Messages = messages },
+        Parameters = new MultimodalParameters()
+        {
+            OcrOptions = new MultimodalOcrOptions()
+            {
+                Task = "multi_lan",
+            }
+        }
+    });
+```
+
+Returns
+
+```csharp
+INTERNATIONAL
+MOTHER LANGUAGE
+DAY
+你好!
+Прив?т!
+Bonjour!
+Merhaba!
+Ciao!
+Hello!
+Ola!
+????
+Salam!
+```
 
 ## Text-to-Speech
 

README.zh-Hans.md

@@ -3143,7 +3143,53 @@ OpenAI 兼容 DashScope
 Python Java curl
 ```
 
+##### 多语言识别
 
+设置 `Parameters.OcrOptions.Task` 为 `multi_lan` 即可调用该内置任务，不需要传入额外的文字信息。
+
+该任务会识读图片中文字并以纯文本形式返回，支持小语种的识别。
+
+如果确定输入图片不包含除中英文以外的语种，请不要使用这个任务，减少误识别的几率。
+
+示例请求：
+
+```csharp
+await using var file = File.OpenRead("multilanguage.jpg");
+var ossLink = await client.UploadTemporaryFileAsync("qwen-vl-ocr-latest", file, "multilanguage.jpg");
+Console.WriteLine($"File uploaded: {ossLink}");
+var messages =
+    new List<MultimodalMessage> { MultimodalMessage.User([MultimodalMessageContent.ImageContent(ossLink)]) };
+var completion = await client.GetMultimodalGenerationAsync(
+    new ModelRequest<MultimodalInput, IMultimodalParameters>()
+    {
+        Model = "qwen-vl-ocr-latest",
+        Input = new MultimodalInput { Messages = messages },
+        Parameters = new MultimodalParameters()
+        {
+            OcrOptions = new MultimodalOcrOptions()
+            {
+                Task = "multi_lan",
+            }
+        }
+    });
+```
+
+示例返回：
+
+```csharp
+INTERNATIONAL
+MOTHER LANGUAGE
+DAY
+你好!
+Прив?т!
+Bonjour!
+Merhaba!
+Ciao!
+Hello!
+Ola!
+????
+Salam!
+```
 
 ## 语音合成
 

sample/Cnblogs.DashScope.Sample/Cnblogs.DashScope.Sample.csproj

@@ -47,6 +47,9 @@
     <None Update="math.jpg">
       <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
     </None>
+    <None Update="multilanguage.jpg">
+      <CopyToOutputDirectory>Always</CopyToOutputDirectory>
+    </None>
   </ItemGroup>
 
   <ItemGroup>

sample/Cnblogs.DashScope.Sample/Multimodal/OcrMultilanguageSample.cs

@@ -0,0 +1,61 @@
+using Cnblogs.DashScope.Core;
+
+namespace Cnblogs.DashScope.Sample.Multimodal;
+
+public class OcrMultilanguageSample : ISample
+{
+    /// <inheritdoc />
+    public string Description => "OCR Text Recognition(Multilanguage) Sample";
+
+    /// <inheritdoc />
+    public async Task RunAsync(IDashScopeClient client)
+    {
+        // upload file
+        await using var file = File.OpenRead("multilanguage.jpg");
+        var ossLink = await client.UploadTemporaryFileAsync("qwen-vl-ocr-latest", file, "multilanguage.jpg");
+        Console.WriteLine($"File uploaded: {ossLink}");
+        var messages =
+            new List<MultimodalMessage> { MultimodalMessage.User([MultimodalMessageContent.ImageContent(ossLink)]) };
+        var completion = await client.GetMultimodalGenerationAsync(
+            new ModelRequest<MultimodalInput, IMultimodalParameters>()
+            {
+                Model = "qwen-vl-ocr-latest",
+                Input = new MultimodalInput { Messages = messages },
+                Parameters = new MultimodalParameters()
+                {
+                    OcrOptions = new MultimodalOcrOptions()
+                    {
+                        Task = "multi_lan",
+                    }
+                }
+            });
+
+        Console.WriteLine("Text:");
+        Console.WriteLine(completion.Output.Choices[0].Message.Content[0].Text);
+
+        if (completion.Usage != null)
+        {
+            var usage = completion.Usage;
+            Console.WriteLine(
+                $"Usage: in({usage.InputTokens})/out({usage.OutputTokens})/image({usage.ImageTokens})/total({usage.TotalTokens})");
+        }
+    }
+}
+
+/*
+File uploaded: oss://dashscope-instant/52afe077fb4825c6d74411758cb1ab98/2025-11-29/fa37bfc1-946b-4347-9c0a-fba6abccc43f/multilanguage.jpg
+Text:
+INTERNATIONAL
+MOTHER LANGUAGE
+DAY
+你好!
+Прив?т!
+Bonjour!
+Merhaba!
+Ciao!
+Hello!
+Ola!
+????
+Salam!
+Usage: in(4444)/out(36)/image(4420)/total(4480)
+ */