> For the complete documentation index, see [llms.txt](https://academy.gooey.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.gooey.ai/ai-for-impact/module-6.md).

# Adding Language and translation

{% embed url="<https://youtu.be/cz4RBz3mXrI>" %}

### **Add Speech Recognition and Translation**

This guide explains how to enable speech recognition and translation in your GUI AI-powered AI Agent, using the example of a hypertension health assistant. These features are especially useful for building multilingual bots—like an agriculture assistant for Northern India, where Hindi is widely spoken. With these capabilities, users can send voice notes in their preferred language and receive answers in the same language.

#### **Enabling Speech Recognition**

* In the Capabilities section, enable the **Speech Recognition** feature. This allows users to record voice messages directly into the AI Agent.

<figure><img src="/files/Wsi8l7jUjSscwEBGfUpU" alt=""><figcaption></figcaption></figure>

### Test

Click the microphone/clip icon in the message section, record a question (e.g., “What is your recommendation for drug classes as first-line agents?”), and click on "Send".

<figure><img src="/files/MKLldMr5AXPrtMw71rWu" alt=""><figcaption></figcaption></figure>

* The LLM processes the transcribed text and generates a response, referencing the knowledge base (e.g., the WHO hypertension guidelines).

### Adding T**ranslation**

Many LLMs may not fully understand non-English languages, so translation is essential to any AI Agent pipeline.&#x20;

Steps to follow:&#x20;

* To support other languages (e.g., Hindi), enable the **Translation** feature alongside speech recognition.
  * Select your translation provider (e.g., Google Translate).
  * Set the target translation language (e.g., Hindi).
* Now, when a user submits a voice note in their preferred language, the system will:
  * Transcribe the audio
  * Translate the input to English for the LLM (if needed)
  * Process the question
  * Translate the LLM’s response back into the user’s language (e.g., Hindi)

### **Next Steps**

* In the next guide, you’ll learn how to add **Text-to-Speech**, allowing users to listen to responses in their language instead of reading.