Indian-language AI

AI that speaks every Indian language

Build for Bharat, not just English-speaking India. CallMissed's Indic-native AI handles 22 scheduled Indian languages across chat, voice, speech-to-text, and text-to-speech, with code-switching built in.

22 languages × 60+ voices × millions of hours of training
Hinglish, Tanglish, and all code-switching patterns handled
Sarvam Indic-native LLMs (105B + 105B Conversations) plus GPT/Claude/Gemini
Priced the same as English: vernacular shouldn't cost more

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Scheduled languages: 22
Potential speakers: 1.4B
TTS voices: 60+
Native Indic models: Sarvam

Features

Why CallMissed is the best stack for building Indian products

Vernacular AI isn't about translation; it's about native models trained on Indic speech and text.

Indic-native LLMs (Sarvam 105B)

Purpose-built for Indian languages, not English models with translation layers. Vocabulary, grammar, idioms, and code-switching are handled natively, tuned for Indic benchmarks.

Speech-to-text across all 22 languages

95%+ WER accuracy on Hindi, 90%+ on Tamil/Telugu/Bengali, 85%+ on smaller languages. Streaming WebSocket under 400ms. Outperforms Google STT on Indian accents by 15–25%.

60+ studio-grade TTS voices

Each language has 2–6 voices (male, female, child, neutral) trained on professional voice actors. Natural prosody, not the robotic 2015-era Google Hindi voice.

Code-switching + Hinglish mastery

Real customers mix Hindi and English in one sentence. Our models parse mixed-script text, transcribe mixed speech, and respond in the same code-switched style, the only way to sound natural to Bharat.

Script-level handling

Devanagari, Tamil, Telugu, Bengali, Malayalam, Gurmukhi, Ol Chiki, Meitei Mayek: every major Indic script handled correctly, including conjunct ligatures and diacritics that break most NLP pipelines.

Regional dialect + accent support

Hindi in Bihar sounds different from Hindi in Mumbai. Our models are trained across geographic variants so a Bihari farmer and a Mumbai professional both get accurate transcription and natural-sounding replies.

22 Languages

Every scheduled Indian language, with sample speech

The 22 constitutional languages of India are 1.4 billion speakers strong. Every one of them is supported across LLM, STT, and TTS.

Script	Language	Sample: "Your order arrives tomorrow."	Speakers
हिन्दी	Hindi	नमस्ते, आपका ऑर्डर कल पहुँचेगा।	600M+
English (IN)	Indian English	Please check the status of order number 45231.	200M+
বাংলা	Bengali	আপনার অর্ডার আগামীকাল পৌঁছে যাবে।	265M+
తెలుగు	Telugu	మీ ఆర్డర్ రేపు చేరుతుంది.	95M+
मराठी	Marathi	तुमची ऑर्डर उद्या पोहोचेल.	90M+
தமிழ்	Tamil	உங்கள் ஆர்டர் நாளை வரும்.	85M+
اُردُو	Urdu	آپ کا آرڈر کل پہنچ جائے گا۔	70M+
ગુજરાતી	Gujarati	તમારો ઓર્ડર આવતીકાલે આવી જશે.	60M+
ಕನ್ನಡ	Kannada	ನಿಮ್ಮ ಆರ್ಡರ್ ನಾಳೆ ತಲುಪುತ್ತದೆ.	55M+
ଓଡ଼ିଆ	Odia	ଆପଣଙ୍କ ଅର୍ଡର କାଲି ପହଞ୍ଚିବ।	40M+
മലയാളം	Malayalam	നിങ്ങളുടെ ഓർഡർ നാളെ എത്തും.	35M+
ਪੰਜਾਬੀ	Punjabi	ਤੁਹਾਡਾ ਆਰਡਰ ਕੱਲ੍ਹ ਪਹੁੰਚ ਜਾਵੇਗਾ।	30M+
অসমীয়া	Assamese	আপোনাৰ অৰ্ডাৰ কাইলৈ আহি পাব।	15M+
मैथिली	Maithili	अहाँक ऑर्डर काल्हि पहुँचत।	13M+
संस्कृतम्	Sanskrit	भवतः आदेशः श्वः प्राप्स्यते।	Heritage
कॉशुर	Kashmiri	تۄہنٛد آرڈر پگاہ پؠچن۔	7M+
कोंकणी	Konkani	तुमची ऑर्डर फाल्यां पावतली.	2.5M+
सिन्धी	Sindhi	توهان جو آرڊر سڀاڻي پهچندو.	2.5M+
डोगरी	Dogri	तुसदा ऑर्डर कल्ल पुज्जग।	2M+
ꯃꯅꯤꯄꯨꯔꯤ	Manipuri	নখোয়গী অর্ডর হয়েং য়ৌরগনি।	1.8M+
बड़ो	Bodo	नोंथांनि अर्डार गाबोन सौगौन।	1.5M+
ᱥᱟᱱᱛᱟᱲᱤ	Santali	ᱟᱢᱟᱜ ᱟᱨᱰᱟᱨ ᱜᱟᱯᱟ ᱥᱮᱸᱫᱽᱨᱟᱭᱚᱜᱼᱟ	7M+

Use Cases

Indian-language AI use cases

From e-commerce to healthcare, the teams that need Indic languages in production.

E-commerce

Reach 600M+ non-English shoppers

Most D2C brands in India lose customers because their post-purchase flow is English-only. Switch to vernacular AI support on WhatsApp and voice, and customers in tier-2 / tier-3 cities finally get served in their language.

Result

Typically 30% higher repeat purchase rate from vernacular markets.

Healthcare

Bridge the rural doctor gap

Patients in rural India speak Bhojpuri, Marathi, Odia, not English. AI agents give medication reminders, schedule follow-ups, and collect symptoms in the patient's mother tongue, then translate to English for the doctor.

Result

Doctor consultation throughput typically up 40%.

EdTech

Education content in every Indian language

NEP 2020 mandates regional-language education. EdTech platforms use CallMissed STT to caption English lessons into 22 Indian languages, TTS to read out course material, and LLM to answer student questions in the student's language.

Result

22-language accessibility without hiring 22 teams.

Government & G2C

Citizen services in every language

Government portals (DigiLocker, UMANG, state portals) use CallMissed to answer citizen queries about schemes, eligibility, and application status in the citizen's preferred language, essential for a country where only 10% speak English.

Result

G2C service accessibility to 1.4B citizens.

BFSI

Financial inclusion through voice

Banks and fintech reach customers in villages who can't read smartphones. AI voice agents call in the customer's language, explain products, take applications, and walk them through KYC, all voice-driven, no typing.

Result

Rural customer acquisition cost typically drops 60%.

Navigation & logistics

Turn-by-turn in local languages

Last-mile delivery drivers and cab drivers speak regional languages. Voice navigation in their mother tongue reduces errors, accidents from screen-glancing, and failed deliveries.

Result

Delivery completion rate typically up 12% in tier-3 cities.

Code

Multi-language AI in one API call

Switch languages, voices, and models with a single parameter. Here's a Python example that handles a Tamil voice call end-to-end:

tamil_agent.pyPython

from openai import OpenAI
from callmissed import VoiceAgent

agent = VoiceAgent(
    api_key="cm_your_key",
    config={
        "stt": {"model": "saaras:v3", "language": "ta"},        # Tamil STT
        "llm": {"model": "sarvam-105b", "system_prompt": "நீங்கள் Acme Electronics-இன் ஆதரவு முகவர்."},
        "tts": {"model": "bulbul:v3", "voice": "kavitha"},      # Tamil female voice
        "telephony": {"provider": "exotel", "number": "+91-44-1234-5678"},
    },
)

agent.start()                   # listens on the configured phone number
# That's it. A fully vernacular Tamil voice agent, production-ready.

Full voice pipeline in Tamil: STT → LLM → TTS

FAQ

Indian-language AI questions, answered

Why do I need Indian-language AI and not just Google Translate?

Because translation loses the speaker. A customer saying "Bhai yeh order cancel karna hai urgent" is not the same sentiment as the literal English translation. Indian-language AI models (like Sarvam M / 105B used by CallMissed) are trained natively on Indic speech and text; they capture tone, context, politeness levels (tu/tum/aap), and cultural idioms that translation pipelines discard.

Which Indian languages does CallMissed support?

All 22 scheduled languages of the Indian constitution: Hindi, Bengali, Telugu, Marathi, Tamil, Urdu, Gujarati, Kannada, Odia, Malayalam, Punjabi, Assamese, Maithili, Santali, Kashmiri, Nepali, Sindhi, Dogri, Konkani, Manipuri, Bodo, Sanskrit. Plus all three English accents spoken in India (Indian, US, UK). Coverage varies by service: LLM and TTS have full coverage; STT is strongest on the top 12.

What about dialects: Bhojpuri, Bengali in West Bengal vs Bangladesh, etc?

Our STT and LLM models are trained across geographic variants, so Bhojpuri (a Hindi variant spoken by 50M+), Bengali across the Ganga delta, and Punjabi in Indian vs Pakistani Punjab all work. We don't currently offer separate language IDs for these dialects but the models handle them in their parent language bucket.

How does Hinglish and code-switching work?

Speech: stream mixed-language audio, get back a transcript tagged with per-word language. Text: send mixed-script input (Hindi Latin or Hindi Devanagari mixed with English), the LLM parses both scripts and responds in the same style. TTS: pass mixed text and the voice engine pronounces each word in its source language correctly. This is the #1 feature competitors miss.

Is the Indian-language quality as good as English?

For Hindi: yes, often indistinguishable. For Tamil, Telugu, Bengali, Marathi: 90–95% of English quality across LLM, STT, and TTS. For smaller languages (Dogri, Bodo, Santali): 70–85% of English quality, still dramatically better than any competitor because there's almost no alternative. Quality improves monthly as Sarvam and our in-house teams expand training data.

Can I use Claude, GPT, Gemini via CallMissed for Indian languages?

Yes. CallMissed routes across many makers, with models added on demand. For Indian languages, we recommend Sarvam 105B or its conversation-tuned variant (Indic-native). You can also route to GPT-5.6, Kimi K2.6, or GLM 5.2 for English or complex reasoning. For enterprise use-cases, we split traffic: Sarvam for vernacular queries, GPT/GLM for English or heavy reasoning.

What's the pricing for Indian-language AI?

Same flat pricing as English, no premium for vernacular. LLM: per-token pricing (Sarvam M is ~$0.20/1M input tokens). STT: $0.004/min. TTS: $0.010/1K chars. Free tier includes 1000 API credits across all services. Volume discounts at 10M tokens/month on LLM.

Can I build a voice agent in Indian languages?

Yes: pair CallMissed STT + LLM + TTS into a full Indic voice agent. The Voice Agent API handles the orchestration (VAD, turn-taking, barge-in, streaming) so you just configure language + voice + system prompt. End-to-end latency under 1 second even for complex multi-turn conversations in Hindi.

Build for Bharat

Your customers don't speak English. Your AI shouldn't have to force them to.

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