Record
Thirty minutes of clean studio audio in the voice you want, read from our script in Hindi, English (US) and Hinglish. We help with the script and the session.
आधे घंटे की recording, बस.
A blink takes 100 to 400 milliseconds. Our server starts speaking in under 10, and a browser in India hears it in about 175, network included.
A rented voice is rented compute plus a vendor margin: 2.5 cents (₹2) or more a minute. Ours is 10 paise per 1,000 characters, about a minute of speech, because the model is ours and it runs on ordinary servers.
Trained on how people actually talk: switching languages mid-sentence, numbers, amounts and dates read the local way, codes and acronyms spelled out. More languages are in training now.
One four-core server carries 24 live streams and makes 30 seconds of speech every second. Need more? Add servers, in our cloud or your data centre, at the same price.
Record your brand voice, an agent, an anchor, a founder, and we return a model trained on it: your timbre, your pronunciations, your pace. Same price, same speed, yours to run wherever you like.
Why Vartaloop
Natural, expressive Hindi, Hinglish and English, streamed from a plain API. Names, numbers and amounts read the way a person reads them, on a model we built and an engine we wrote.
Comparisons below are like for like: audio heard end to end, network included. We publish how each number was measured.
How we measure: first audio is the time from text in to the first audio frame, on the server or as heard in a browser in India on our Mumbai service. Capacity was measured on a four-core cloud server on 3 November 2026 with paragraph-length text and no gaps in playback.
Our stock voices are good. Yours is better for your brand: the agent your customers already know, the anchor from your ads, the founder. Record it once; we train a model on it and hand it back at the same price and the same speed, to run in our region or on your own servers.
Thirty minutes of clean studio audio in the voice you want, read from our script in Hindi, English (US) and Hinglish. We help with the script and the session.
आधे घंटे की recording, बस.
The model learns the timbre, the pace and the pronunciations of that voice while keeping everything it already knows about names, numbers and code-switching.
Two to three weeks, end to end.
Your voice behind the same API at the same 10 paise per 1,000 characters, in our cloud or inside your data centre. The model is yours.
Same price. Same speed. Your voice.
We own the model and it runs on ordinary servers. No seats, no setup fee, no card to start.
Run in our Mumbai service or inside your own data centre.
If every server is busy you get a 503 and a retry time before any audio. A stream that has started is never cut short.
A custom voice is trained only with the speaker's recorded consent. The model is yours.
No scarce GPUs: it runs on standard CPU servers, so capacity arrives in minutes.
Vartaloop is a text-to-speech platform of InfiniSync Consulting (OPC) Private Limited: a streaming text-to-speech API built on our own voice model and engine. Send text over REST or WebSocket and get natural speech back as it is generated, in Hindi, Hinglish, English (India) and English (US).
Before you can blink. A blink takes roughly 100 to 400 milliseconds. The first audio leaves our server in under 10 milliseconds, and a browser in India hears it in about 175 milliseconds, network included. A minute of speech is generated in about eight seconds.
10 paise per 1,000 characters, billed in rupees. A thousand characters is about a minute of speech. That rate is for Opus, the default, and PCM; WAV is 12 paise per 1,000. The first 1,000 sign-ups get 10 lakh characters free.
47 voices: 21 Hinglish, 18 English (US) and 8 English (India). Hinglish voices speak Hindi, English and code-mixed sentences. Tamil, Telugu, Marathi, Bengali and Kannada are in training.
Yes. A built-in normaliser reads currency amounts, dates, phone numbers, OTP digits and acronyms such as EMI and KYC the way a person would, in Hindi and in English.
One four-core server carries 24 live streams and makes 30 seconds of speech every second. There is no per-stream fee: capacity grows by adding servers. If every server is busy, the API answers 503 with a retry time before any audio, and a stream that has started is never cut short.
Yes. It runs on ordinary CPU servers, in our cloud or inside your own data centre, so your data can stay in your region.
Yes. Record about thirty minutes of clean studio audio, with the speaker's consent on record, and we train a model on that voice in two to three weeks. It costs the same per character and runs at the same speed.
Create a free account at tts.vartaloop.ai, make an API key, and follow the quickstart at docs.vartaloop.ai. Your first audio takes about a minute.
Bring the sentences your product needs to say and the volume you need to say them at. Thirty minutes is enough to hear them in our voices and work out your numbers.
With Puru Chaudhary, founder & CTO. Pick a slot that suits you and the invite lands in your calendar with a video link.
One of us runs the company, the customers and the pilots. The other trains the speech recognition, the language model and the voices, and builds the platform they run on. Both have been here since the first call, and both have their own money in it.
Runs Vartaloop and scales it, from the company and its customers to the pilots and the money. He has spent eight years building AI and ML products across retail, e-commerce, fintech, education and hospitality, with a record of making systems faster, cheaper and bigger, often cutting compute costs by 90% or more. Most recently, as co-founder of QuickDial AI, Vartaloop’s US sibling, he helped bring a CPU-only voice-agent stack down to a quarter of a cent a minute. An alumnus of IIT Kanpur.
Trained the voices and the speech recognition, wrote the engine that runs them on ordinary servers, and built the platform above it. Fifteen years of software for GE HealthCare, S&P Global, Bristol Myers Squibb and State Street; three years training models; three companies founded. Author of The Inference Mechanic.