# Code-Switching in Voice AI: How We Handle Hindi-English Mixed Language Calls

> Technical deep-dive into how voice AI handles code-switching between Hindi and English — the most common calling pattern in Indian business.

Source: https://edesy.in/blog/code-switching-voice-ai-hindi-english

Technical deep-dive into how voice AI handles code-switching between Hindi and English — the most common calling pattern in Indian business.

## Overview

This post covers the technical details behind in voice ai: how we handle hindi-english mixed language calls. We'll walk through the architecture, trade-offs, and real-world performance data from the Edesy platform.

## The Challenge

Most voice AI implementations face trade-offs between quality, latency, cost, and language support. Getting all four right simultaneously — especially for Indian languages — requires careful architectural decisions.

## How It Works

### Architecture

The Edesy platform supports multiple approaches depending on the use case:

1. **Native audio-to-audio** — Gemini Live 2.5 HD processes speech directly, generating speech output without intermediate text, which keeps responses fast. 30 HD voices across 24 languages.

2. **Traditional pipeline** — STT (Deepgram/Google Chirp/Azure) -> LLM (GPT-4o/Gemini) -> TTS (Google HD/ElevenLabs). More flexible but higher latency (800ms-2s).

3. **Hybrid approach** — Use native audio for supported languages, fall back to pipeline for others.

### Performance Data

From production deployments:

- **Scale**: 3.4 lakh+ connected conversations and 1.8 lakh+ minutes of talk time
- **Languages**: 75+ supported, including 14 Indian languages
- **Cost**: INR 4-6 per minute for end-to-end voice AI

### Implementation Details

The specific implementation depends on the use case. For Indian language deployments, we typically recommend:

- **STT**: Google Chirp for best Indian language accuracy
- **LLM**: Gemini Live 2.5 for native audio, GPT-4o for pipeline
- **TTS**: Google HD voices for Indian languages, ElevenLabs for premium quality
- **Telephony**: Exotel or Plivo for Indian numbers, Twilio for international

## Real-World Results

Edesy platform data (6,000+ sign-ups, 3.4 lakh+ connected conversations) shows:

- 3.4 lakh+ connected conversations and 1.8 lakh+ minutes of talk time
- INR 4-6 per minute all-inclusive cost
- 24/7 availability for answering calls

## Getting Started

- [Try Voice AI Free](https://voice-agent.edesy.in/)
- [View API Documentation](https://edesy.in/ai-voice-agent)
- [See Case Studies](https://edesy.in/case-studies)
- [Contact Sales](https://edesy.in/contact)

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*Built on Edesy platform data from 3.4 lakh+ connected conversations. [Start your free trial](https://voice-agent.edesy.in/).*

## Related reading

- [Hindi AI calling scripts for 7 outbound use cases](https://edesy.in/blog/hindi-ai-calling-scripts-outbound-2026)
- [Multilingual AI agents: detect the language, then hand off](https://edesy.in/blog/multilingual-ai-agent-language-detection-handoff-2026)
- [AI voice pronunciation: Indian numbers and acronyms](https://edesy.in/blog/ai-voice-agent-pronunciation-numbers-acronyms-india-2026)
- [Hinglish vs pure Hindi for AI voice calls](https://edesy.in/blog/hinglish-vs-pure-hindi-ai-calls-2026)
- [Which languages Indian businesses use for AI calls](https://edesy.in/blog/which-indian-languages-ai-calls-2026)