neha
0:000:06
नमस्ते, मैं नेहा बोल रही हूं Acme से। आपका order कल deliver होगा, बस address confirm कर लीजिए।
Rendered by Fourier TTS · 2026-09-03
Models · Text to speech
On Voice Arena’s Hindi board, listeners prefer it to Sarvam’s Bulbul V3.
Text120 characters
नमस्ते, मैं आशु बोल रहा हूँ। आपके कर्ज़ की किश्त अगले हफ़्ते जमा होनी है। आप चाहें तो मैं अभी जमा करने का तरीका बता दूँ।
48 kHz · MonoReady when you are
0:00 / 0:07
Fourier TTS, voice ashu, rendered 16 Oct 2026. One request, not edited.
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
Fourier TTS, voice neha, rendered 16 Oct 2026. One request, not edited.
Text152 characters
Hi, this is Sameer from Acme Logistics. You applied for the delivery partner role in Pune, and I have a few quick questions. Is now a good time to talk?
48 kHz · MonoReady when you are
0:00 / 0:08
Fourier TTS, voice sameer, rendered 16 Oct 2026. One request, not edited.
Text117 characters
નમસ્તે, હું શ્રુતિ, દાંતના ક્લિનિકમાંથી બોલું છું. કાલે સવારે ડૉક્ટર સાથે તમારી મુલાકાત નક્કી છે. તમે સમયસર આવી શકશો?
48 kHz · MonoReady when you are
0:00 / 0:08
Fourier TTS, voice shruti, rendered 17 Oct 2026. One request, not edited.
Text147 characters
வணக்கம், நான் ஆஷு பேசுகிறேன். உங்கள் கடனுக்கான தவணையை அடுத்த வாரம் கட்ட வேண்டும். நீங்கள் விரும்பினால், எப்படிக் கட்டுவது என்று இப்போதே சொல்கிறேன்.
48 kHz · MonoReady when you are
0:00 / 0:09
Fourier TTS, voice ashu, rendered 17 Oct 2026. One request, not edited.
Text133 characters
నమస్కారం, నేను శ్రుతి, పళ్ళ క్లినిక్ నుండి మాట్లాడుతున్నాను. రేపు ఉదయం డాక్టర్ గారితో మీకు అపాయింట్మెంట్ ఉంది. మీరు సమయానికి రాగలరా?
48 kHz · MonoReady when you are
0:00 / 0:08
Fourier TTS, voice shruti, rendered 17 Oct 2026. One request, not edited.
Listen
Original model output, not edited. The text under each player is what we sent.
0:000:06
नमस्ते, मैं नेहा बोल रही हूं Acme से। आपका order कल deliver होगा, बस address confirm कर लीजिए।
Rendered by Fourier TTS · 2026-09-03
0:000:06
नमस्ते, मैं आशु बोल रहा हूं। आपकी EMI पांच तारीख को due है — क्या online pay करेंगे?
Rendered by Fourier TTS · 2026-09-03
Head to head
Voice Arena plays two voices on the same line, and listeners pick one blind.
| Detail | Fourier TTS | Sarvam Bulbul V3 |
|---|---|---|
| Where Fourier TTS is ahead | ||
| General conversation | 1053+92 ahead | 961 |
| Content creation & education | 1014+113 ahead | 901 |
| Where Bulbul V3 is ahead | ||
| Customer support | 971 | 984+13 ahead |
| Media & entertainment | 956 | 967+11 ahead |
Why Fourier TTS
Five languages, fast under load, and an endpoint your code already knows.
01
Hindi, English, Gujarati, Tamil and Telugu. In Hinglish it switches from “नमस्ते” to “order confirm” in the same sentence.
02
First audio in 275 ms at p99 with 24 voices speaking at once, and three times the streams per GPU of the usual eight.³
03
An OpenAI-compatible speech endpoint. Stream 48 kHz PCM as it renders, or ask for a WAV file.
Pricing
Start on pay as you go, and move to Business when you need more at once.
Text to speech
₹1.80per 1,000 characters²
Pay as you go
Business
Questions
An independent leaderboard for voice AI. Listeners hear two voices read the same text and pick the better one without knowing which model made which. The votes become a Bradley–Terry Elo rating for each model.
On Voice Arena’s Hindi leaderboard, Fourier TTS scores 993 Elo against 959 for Sarvam Bulbul V3 across all categories, and leads by 92 points in general conversation and 113 in content and education. Bulbul V3 is narrowly ahead in customer support and in media and entertainment.
First audio arrives in 275 ms at the 99th percentile with 24 voices synthesising at once on one GPU. You can stream PCM as it renders, so playback starts before the sentence is finished.
Hindi, English, Gujarati, Tamil and Telugu are live, and so is Hinglish. The same four voices speak all of them: ashu, neha, shruti and sameer. The Voice Arena results on this page are for Hindi.
Get an API key, then call the OpenAI-compatible speech endpoint with model mira-tts. The quickstart has working examples.
Fifteen minutes with the team that builds it. Bring your script, or your hardest call.
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