> ## Documentation Index
> Fetch the complete documentation index at: https://koreai.mintlify.app/llms.txt
> Use this file to discover all available pages before exploring further.

# How to Configure Transcription for Voice Interactions

Transcription converts user speech into text during real-time voice interactions. This text is used for logging, analytics, and agent processing within the platform.

By configuring transcription settings, you can significantly improve accuracy, latency, and recognition of domain-specific terms.

Configuring transcription helps:

* Improve accuracy
* Reduce latency
* Better handle domain-specific vocabulary
* Support multilingual deployments

<Note>
  - Supported for real-time models from OpenAI and Azure OpenAI providers.
  - Applicable across the app.
</Note>

***

## Enable Transcription Settings

1. Go to **Agent Platform → Orchestrator**
2. Enable **Voice-to-Voice interactions**
3. Open **Voice AI Model Settings**
4. Scroll to **Input Audio Transcription**
5. Configure:
   * **Transcription Language**
   * **Transcription Prompt**
6. By default, the transcription language is set to *auto-detect*, and the prompt is empty
7. Click **Save**

***

## Transcription Configurations

### Transcription Language

Specifies the language of user speech.

* **Default:** Auto-detect
* **Format:** ISO-639-1 (for example, `en`, `hi`, `ta`)

**Best Practices**

* Use **Auto-detect** for global/multi-language apps
* Set a specific language for:
  * Known user base
  * Better accuracy
  * Lower latency

***

### Transcription Prompt

Provides context to the ASR model that transcribes asynchronously.

For example, it helps recognize:

* Product names
* Acronyms
* Industry-specific terms

<Note>
  This prompt only affects transcription, not conversation responses.
</Note>