• Getting Started
  • Components
    • Barcodes
    • Buttons
    • Chartsupdated
    • Conversational UIupdated
    • Data Query
    • Date Inputsupdated
    • Date Math
    • Dialogs
    • Drawing
    • Dropdownsupdated
    • Editor
    • Excel Export
    • File Saver
    • Filter
    • Gantt
    • Gauges
    • Gridupdated
    • Icons
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    • Inputsupdated
    • Labels
    • Layout
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    • PDFViewer
    • PivotGridupdated
    • Popup
    • ProgressBars
    • Ripple
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    • ScrollView
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    • Spreadsheetupdated
    • ToolBar
    • Tooltips
    • TreeList
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    • Typography
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    • Utilities
  • Styling & Themes
  • Common Features
  • Project Setup
  • Knowledge Base
  • Sample Applications
  • FAQ
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The globalization process combines the translation of component messages with adapting them to specific cultures.

For more information on how globalization practices are implemented in Kendo UI for Angular, refer to the overview article. For more information on the globalization aspects which are available for each component, refer to the article on globalization support.

The following example demonstrates how to:

  • Set a Spanish culture locale.
  • Set translated messages for the Send button and the message placeholder.
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The internationalization (i18n) process applies specific culture formats to a web application.

For more information, refer to:


The ConversationalUI components support both built-in and custom messages.

Built-In Messages

To translate the built-in Chat and AIPrompt messages, utilize the Angular i18n framework. For more information, refer to the article on Localization.

Custom Messages

You can also override individual messages for each instance of any Chat and AIPrompt component by utilizing the attribute bindings. To use them, you do not have to set up the application for i18n.

In i18n applications, message attributes take precedence over localized text from translation files.

The following example demonstrates how to customize the built-in messages of the Chat and AIPrompt.

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Right-to-Left Support

The following example demonstrates how to utilize the RTL support for the Chat and AIPrompt.

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