> For the complete documentation index, see [llms.txt](https://docs.apryse.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.apryse.com/template-extraction/template-extraction/classify-catalogue.md).

# Use Classify Catalogue to SpeedUp Classification

Learn how to optimize classification speed by generating cache with Create Classification Cache. EnableCacheLookup(true) for TemplateClassifier.Builder. Apryse Template Extraction SDK on .NET uses int

If you have generated cache to optimize the classification speed, Look to ([Create Classification Cache](/template-extraction/template-extraction/create-classification-cache.md)), you can utilize it by calling \`EnableCacheLookup(true)\` for \`TemplateClassifier.Builder\`.

{% tabs %}
{% tab title="C#" %}
{% code lineNumbers="true" %}

```csharp
         var inputFile = "./input_file.tif"; 
         var templatesFolder = "./templates"; 
 
         using TemplatesCollection templates = new TemplatesCollection.Builder() 
            .FromSourceFolder(templatesFolder) 
            .Build(); 
 
         using TemplateClassifier classifier = new TemplateClassifier.Builder() 
            .SetTemplatesSource(templates) 
            .EnableCacheLookup (true) 
            .SetRuntimeFolder("./runtimes") 
            .SetLicense(["...", "..."]) 
            .Build(); 

         using FileStream stm = new FileStream(inputFile, FileMode.Open, FileAccess.Read, FileShare.Read); 

         Result<ClassifyResult> classifyResult = classifier.Classify(new InputStream(stm)); 
```

{% endcode %}
{% endtab %}

{% tab title="Java" %}
{% code lineNumbers="true" %}

```java
      String inputFile = "./input_file.tif"; 
      String templatesFolder = "./templates"; 
      String[] license = new String[2]; 
      license[0] = "";
      license[1] = "";

      TemplatesCollection templates = new TemplatesCollection.Builder() 
         .fromSourceFolder(templatesFolder) 
         .build(); 

      TemplateClassifier classifier = new TemplateClassifier.Builder() 
         .setTemplatesSource(templates) 
         .enableCacheLookup (true) 
         .setRuntimeFolder("./runtimes") 
         .setLicense(license) 
         .build(); 

      ILeadStream stm = LeadStreamFactory.create(inputFile); 

      Result<ClassifyResult> classifyResult = classifier.classify(new InputStream(stm, "", "", ""), null, null);

      classifyResult.dispose();
      classifier.dispose();
      templates.dispose();

```

{% endcode %}
{% endtab %}
{% endtabs %}


---

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