Mira TTS
₹1.80 per 1,000 characters.
And ₹15 an hour to transcribe a recorded call. Both from one rupee wallet.
Two different bets
Here is how Sarvam and Voice Infra differ.
Sarvam is a strong choice if you need many Indian languages today. For phone calls, we give you more for the rupee. On Hindi phone recordings our speech recognition made fewer errors than Sarvam's Saaras v4 and finished each transcript about three times sooner. From about 14,000 minutes a month our agents also cost less than Sarvam's with the phone line counted, and at 1 lakh minutes, less than half.
Sarvam is going wide: speech, text and documents across 22 Indian languages, plus its own voice-agent platform.
We’re going deep on the call: Hindi, Gujarati, Marathi, Bengali, Tamil, Telugu, Kannada and Malayalam, and the mix in between, on a phone line, at a price that works for a business making thousands of calls a day. Speech recognition and the language model run on our own GPUs in India, and the phone line is in the price.
How well it hears a phone call
An agent is only as good as what it hears. On 20 October 2026 we ran Mira STT and Sarvam’s Saaras v4 on the same public recordings, through each company’s own API, and scored them the same way.
| Test (word error rate, lower is better) | Mira STT | Saaras v4 |
|---|---|---|
| Hindi phone calls, 8 kHz (Gramvaani, 499 clips) | 18.3% | 21.6% |
| Tamil conversation (IndicVoices, 100 clips) | 25.4% | 28.5% |
| Hindi read aloud, clean (Kathbath, 100 clips) | 10.1% | 5.8% |
On phone audio we make fewer mistakes, and the gap is outside the test’s noise. On clean read speech Sarvam is clearly better, so if your audio is studio-quality, test both.
Speed matters as much. On 158 Hindi phone clips sent from India at real-time pace, Mira STT returned its final transcript 82 ms after the caller stopped (80th percentile). Sarvam’s Realtime API took 290 ms. That’s time your agent spends listening instead of answering.
Hear it.
Real lines from Mira TTS. Pick one, press play.
Text149 characters
Hi, मैं नेहा बोल रही हूँ Acme Store से। आपका order dispatch हो गया है और Friday तक deliver हो जाएगा। Address में कोई change करना हो तो अभी बता दीजिए।
48 kHz · MonoReady when you are
0:00 / 0:09
- voice
- Neha
- language
- Hinglish
- speech
- 0:09
- characters
- 149
Mira TTS, voice neha, rendered 16 Oct 2026. One request, not edited.
Text119 characters
नमस्ते, मैं श्रुति बोल रही हूँ, दाँतों के क्लिनिक से। कल सुबह डॉक्टर साहब से आपका मिलना तय है। क्या आप समय पर आ पाएँगे?
48 kHz · MonoReady when you are
0:00 / 0:08
- voice
- Shruti
- language
- Hindi
- speech
- 0:08
- characters
- 119
Mira TTS, voice shruti, rendered 16 Oct 2026. One request, not edited.
Text117 characters
નમસ્તે, હું આશુ બોલું છું. તમારી લોનનો હપ્તો આવતા અઠવાડિયે ભરવાનો છે. તમે કહો તો હું અત્યારે જ ભરવાની રીત સમજાવી દઉં.
48 kHz · MonoReady when you are
0:00 / 0:08
- voice
- Ashu
- language
- Gujarati
- speech
- 0:08
- characters
- 117
Mira TTS, voice ashu, rendered 17 Oct 2026. One request, not edited.
Text167 characters
வணக்கம், நான் நேஹா பேசுகிறேன். உங்கள் பார்சல் நாளை மாலைக்குள் வந்து சேரும். அந்த நேரத்தில் நீங்கள் வீட்டில் இல்லையென்றால் சொல்லுங்கள், வேறு நாளுக்கு மாற்றி விடுகிறோம்.
48 kHz · MonoReady when you are
0:00 / 0:10
- voice
- Neha
- language
- Tamil
- speech
- 0:10
- characters
- 167
Mira TTS, voice neha, rendered 17 Oct 2026. One request, not edited.
Text114 characters
నమస్కారం, నేను సమీర్ మాట్లాడుతున్నాను. నిన్న మీరు మా కొత్త ఇళ్ళ గురించి అడిగారు. ఇప్పుడు కొంచెం సేపు మాట్లాడవచ్చా?
48 kHz · MonoReady when you are
0:00 / 0:08
- voice
- Sameer
- language
- Telugu
- speech
- 0:08
- characters
- 114
Mira TTS, voice sameer, rendered 17 Oct 2026. One request, not edited.
