22 Indian languages + 60+ voices
Hindi (Meera, Arjun, Kavya, Anand), Tamil (Nila, Vidya), Telugu, Bengali, Marathi, Gujarati, Punjabi, Kannada, Malayalam, and 13 more. Each language has male, female, and gender-neutral voice options.
Text-to-Speech API
Text-to-speech API with natural Indian-language voices
60+ studio-grade voices across 22 Indian languages. Streaming under 300ms, $0.010 per 1K characters. Built for voice agents, audiobooks, IVR, and accessibility.
- 22 Indian languages × 60+ natural voices
- Sub-300ms streaming for live voice agents
- SSML + voice cloning (Enterprise)
- $0.010 / 1K chars — 30x cheaper than ElevenLabs
22Indian languages
60+Natural voices
<300msTTFB streaming
$0.010per 1K chars
How it works
From text to natural voice in 4 steps
Sample voices, pick one, ship to production.
01
Pick a voice
60+ voices across 22 Indian languages — male, female, child, neutral. Sample them in-dashboard before deploying.
02
Send text
POST your text (up to 10k chars) or stream chunks. SSML supported for pauses, pitch, speed, emphasis.
03
Receive audio
WAV, MP3, OPUS, or raw PCM. Batch mode for files; WebSocket streaming for real-time use cases.
04
Cache + reuse
Identical text+voice combos are cached for 7 days — pay once per phrase, replay infinitely.
Features
Why teams building Indian products choose CallMissed TTS
Because Google's Hindi voices still sound like a call-center IVR. Ours don't.
Studio-grade natural voices
Trained on 1000+ hours of Indian-voice-actor audio. Prosody, intonation, and emotion come through — not the robotic 2015-era TTS you remember.
Sub-300ms streaming TTFB
Stream audio bytes as they're synthesized. Under 300ms to first-audio-byte — fast enough for live voice agents and interactive IVR.
SSML controls
Fine-tune speed (0.5x–2x), pitch (-20st to +20st), emphasis, pauses, phoneme overrides, and interjections via standard SSML tags.
Voice cloning (Enterprise)
Clone your brand voice or a specific voice actor from 10 minutes of reference audio. Delivered under a custom voice ID that only your account can use.
Watermarking + abuse detection
Every generated audio carries an inaudible watermark. Synthetic-voice misuse is detectable and blocked by policy. Safe for production and compliance.
Use Cases
Text-to-speech use cases
Voice agents, audiobooks, IVR, accessibility, navigation — same API.
Voice AI agents
Natural voice for your phone bot
Pair our TTS with the Voice Agent API for a full voice pipeline. Sub-300ms TTFB means callers don't hear awkward gaps between their question and the AI reply.
Result
Voice agents that customers don't hang up on.
Audiobooks + e-learning
Indian-language audiobooks at scale
Convert educational content, books, articles into natural-sounding audio across 22 Indian languages. Students consume lessons while commuting; learners without literacy get access via voice.
Result
Audio production cost drops from ₹20/min to ₹0.10/min.
IVR + phone menus
Dynamic IVR prompts without re-recording
Change your IVR greetings, hold messages, or queue announcements in minutes — not weeks waiting for a studio session. Say 'Queue is longer than usual' in Tamil on-demand without re-recording audio files.
Result
Launch campaign greetings in an hour, not a week.
Accessibility
Read-aloud for low-literacy users
Government portals, banking apps, and health apps add a 'Listen' button that reads content in the user's chosen Indian language. Essential for low-literacy populations and visually impaired users.
Result
WCAG AA compliance + genuine accessibility for Bharat.
Navigation & in-app voice
Turn-by-turn directions in local languages
Mapping apps, delivery driver apps, cab aggregators — give turn-by-turn voice prompts in the driver's local language. Works offline when prompts are pre-generated and cached on device.
Result
Voice navigation in 22 languages vs 3 from Google.
Marketing + announcements
Personalized voice notes at scale
Send hyper-personalized WhatsApp voice notes — 'Hi Rajesh, your order is out for delivery' — in the customer's language. Higher open rates than text, warmer than generic SMS.
Result
2x open rate vs text, 4x engagement.
Compare
CallMissed TTS vs Google, AWS, ElevenLabs, Azure
On Indian languages we lead; on price we crush; on API ergonomics we're OpenAI-compatible.
| Feature | CallMissed | Google TTS | AWS Polly | ElevenLabs | Azure TTS |
|---|---|---|---|---|---|
22 Indian languages | |||||
Natural prosody (studio grade) | |||||
Streaming TTFB <300ms | |||||
SSML support | |||||
Voice cloning (enterprise) | |||||
India data residency | |||||
OpenAI-compatible shape | |||||
Pricing per 1K chars | $0.010 | $0.016 | $0.016 | $0.30 | $0.016 |
Comparison based on publicly listed features as of 2026. Check each vendor's site for the latest.
Code
Shipping voice in 5 lines
python
from openai import OpenAI
client = OpenAI(
base_url="https://api.callmissed.com/v1",
api_key="cm_your_key",
)
audio = client.audio.speech.create(
model="bulbul:v3", # Sarvam — 39 voices, 11 Indian languages.
# Also: "aura-2-en" (Deepgram English, 39 voices)
# Also: "aura-2-es" (Deepgram Spanish, 10 voices)
# Also: "melotts" (open-source en + fr, cheapest)
voice="ritu", # Hindi female — or shubh, priya, rahul…
input="नमस्ते, आपका ऑर्डर कल पहुँचेगा।",
response_format="mp3",
)
audio.stream_to_file("greeting.mp3")Python — synthesize Hindi voice, save as MP3
javascript
import { CallMissed } from "callmissed";
const cm = new CallMissed({ apiKey: process.env.CM_KEY });
const stream = cm.audio.tts.stream({
model: "bulbul:v3", // or "aura-2-en" / "aura-2-es" / "melotts"
voice: "shubh", // 39 Sarvam speakers; pick a Tamil one for ta-IN
text: "உங்கள் ஆர்டர் நாளை வருகிறது",
format: "opus",
sampleRate: 24000,
});
// pipe to telephony / websocket / audio element
stream.on("data", (chunk) => speaker.write(chunk));Node/JS — stream TTS audio for a live voice agent
FAQ
Text-to-speech API questions, answered
A text-to-speech (TTS) API converts written text into natural-sounding audio. You send a text string and a voice ID; it returns audio bytes (WAV/MP3/OPUS) you can play in an app, broadcast over the phone, or save as a file. CallMissed's TTS is trained specifically on Indian-language voice actors, so Hindi, Tamil, Marathi etc. sound like native speakers — not translated accents.
Try 60+ Indian voices free
Grab an API key, sample every voice in the dashboard, and ship natural-sounding audio today.