# Language support

> The supported languages for different Document Understanding<sup>TM</sup> components can be found in the table below.

The supported languages for different Document Understanding<sup>TM</sup> components can be found in the table below.

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    Components 
    Supported Languages 
  
 
 
  
   
      
          Taxonomy Manager  
          Digitization  
          Keyword Based Classifier  
          Intelligent Keyword Classifier  
          Machine Learning Classifier  
          RegEx Based Extractor  
          Form Extractor  
          Machine Learning Extractor  
          Validation Station  
      

     The left-to-right languages supported by the OCR engine of choice: 
      
         For supported languages by UiPath&reg; Document OCR , click  here  . 
         For supported languages by Omnipage OCR , click  here  . 
         For supported languages by other 3rd party vendors (  Google  ,  Microsoft  ), check the vendor's website for the most up-to-date information. 
      
The right-to-left languages supported by the OCR engine of choice:
      
         For supported languages by Omnipage OCR, click  here  . 
         For supported languages by other 3rd party vendors (like  Google  ), check the vendor's website for the latest information. 
      

  
  
     Intelligent Form Extractor  
     Same as above.  
  
  
     ML Packages  
     Please refer to  ML Packages Supported Languages  .  For the supported languages, retraining may be required to get the expected accuracy if the documents are considerably different from the original model training dataset.  For the languages not supported in this list, you can experiment with the approach of creating a custom model to extract any left-to-right language, assuming the OCR engine supports it as well.  Automatic reformatting of dates in a standard <code>yyyy-mm-dd</code> format for Asian languages is currently supported only for Japanese. For documents in other Asian languages, you can extract the dates as String content type and format it in the RPA workflow.