Indian languages
Indic text to speech across ten Indian languages, from one engine
India does not have one voice; it has twenty-two scheduled ones. Our speech engine is trained across all of them and exposes English plus ten as selectable languages today — native script in, natural speech out, Hinglish handled mid-sentence, and the same voices answering live phone calls. This page is the map: which language goes where, which has a ready-made voice today, and which needs one cloned.
Last updated 2026-09-06
Hear each language, free, right now
Every language below has its own page with a working generator on it — paste your own text in the native script or romanised, and listen. No sign-up, no watermark, no card. Judging an Indic voice from a description is a waste of everybody’s time; two minutes with your own sentences settles it.
What the engine speaks today
Eleven language codes are accepted by the platform: English and ten Indian languages. That number is deliberately smaller than the marketing number a lot of vendors print, and the gap is worth explaining. The underlying model is trained across India’s twenty-two scheduled languages; ten of them plus English are exposed as a supported, selectable language, because a language belongs on this list when the engine speaks it well enough to put on a customer’s phone line — not when it can produce something in the right script.
Stock voice or cloned voice — the split nobody publishes
Speaking a language and having a ready-made voice in it are two different questions, and most vendors blur them into one number. Here is where we actually stand, and it is the first thing to check against any provider you are evaluating.
Ready-made voices ship today in seven languages
Hindi, English, Marathi, Bengali, Gujarati, Kannada and Malayalam have stock personas you can audition and put live immediately. Hindi and English have the deepest rosters by a wide margin; the others are narrower and growing.
Tamil, Telugu, Punjabi and Odia are cloned
The engine speaks all four, but no stock persona ships in them yet. A short consented reference recording gives you a voice in those languages that is yours rather than one shared with every other customer — which is often what a brand wanted anyway.
Cloning is consent-gated, not a checkbox
Every clone needs a written release naming the person whose voice it is, and every voiceprint carries a published destruction schedule. If a vendor will clone a voice for you without asking who it belongs to, they will do it to your brand voice too.
Or bring another engine for one language
The platform runs sixteen speech engines, so nothing forces a single choice. Route one language to a specialist vendor and keep the rest on the in-house engine, per agent or per call — the billing is per minute either way.
Script, transliteration and Hinglish
Indian-language speech breaks in specific, predictable places, and they are rarely the greeting. Nine scripts are handled natively — Devanagari, Tamil, Telugu, Kannada, Malayalam, Bengali, Gurmukhi, Gujarati and Odia — and romanised input works too, which matters because a lot of real CRM data is romanised. For mixed sentences the engine re-checks each sentence’s script rather than committing to one language for the whole utterance, and on the recognition side engines that tag language per word keep Hinglish intact instead of flattening it into one or the other.
- Native script in, natural speech out: no transliteration round-trip that quietly mangles proper nouns.
- Romanised input is accepted for every supported language, so you can test with the data you already have.
- Hinglish and mid-sentence code-switching are handled — English brand names, product names and numerals inside a Hindi sentence are the normal case, not an edge case.
- Test with your real strings. A greeting proves nothing; an amount, a due date and a reference number in the middle of a Marathi sentence is the test that matters, and the free per-language pages let you paste yours in before you talk to anyone.
Pin the language. Do not trust auto-detect.
Automatic language detection is the default a lot of voice stacks ship with, and it drifts. On a live box we watched detection walk through hi, hi, ur, en, ur across ten turns of one call — one speaker, one language, five verdicts. So the engine takes a pinned language per agent, and detection can be restricted to the set your deployment actually serves. We would rather publish that than let you find it on a live campaign: for a phone agent that always calls the same audience, pinning is not a limitation, it is the correct setting.
Recognition, not just synthesis
A conversation needs both halves, and for Indian languages the recogniser is usually the harder one. On the hosted platform you pick per agent from ten engines — including India-native options built for Indic audio and code-mixing — or use a router that sends each language to the engine that transcribes it best. On the self-hosted appliance recognition runs on Whisper large-v3-turbo with an AI4Bharat IndicConformer fallback, on your own GPU, so nothing about the audio leaves the box.
The engine is ours, and we host it
The in-house Indic engine is a fine-tune we run on our own infrastructure — not a from-scratch foundation model, and not a reseller wrapper around someone else’s API. That matters in two practical ways: audio synthesised through it never reaches a third-party voice vendor, and the same engine is available inside the appliance for teams whose audio cannot leave their building at all.
- Self-hosted synthesis, so the audio path can have no third-party AI subprocessor in it.
- Every training utterance carries a licence, an attribution and a consent reference. No scraped video sites.
- Your conversations, recordings and knowledge bases are not used to train models.
- The same voices that generate audio on this site answer live phone calls with sub-second latency — a free tool and a production engine, not two different systems.
Where to go next
Frequently asked questions
Do you support all 22 scheduled Indian languages?+
The model is trained across all twenty-two; ten of them plus English are exposed as selectable languages today. We keep those two facts separate on purpose. A language reaches the supported list when it is good enough to put on a customer’s phone line, and publishing twenty-two when eleven are selectable is the sort of claim that gets found out on the first pilot call.
Is there a ready-made voice in every language you support?+
No, and this is the question to ask every vendor. Stock voices ship today in Hindi, English, Marathi, Bengali, Gujarati, Kannada and Malayalam. For Tamil, Telugu, Punjabi and Odia the engine speaks the language but no stock persona ships yet, so we clone one for you from a short consented reference clip. Cloned voices are exclusive to you, which is frequently what a brand wanted in the first place.
Can it handle Hinglish and code-switching?+
Yes, and it is the normal case rather than an edge case — English brand names, product names and numerals inside a Hindi or Marathi sentence. On synthesis the engine re-checks each sentence’s script instead of locking the whole utterance to one language; on recognition, engines that tag language per word keep the mix intact rather than collapsing it. Perfect is not a word we would use for any vendor here, so test it on your own sentences.
Is this your own engine or a wrapper around someone else’s?+
Ours, and we host it. To be precise about what that means: it is a fine-tune of an open speech model rather than a foundation model we trained from nothing, and we are not going to overstate that. The consequence that matters commercially is the same either way — audio synthesised through it does not reach a third-party voice vendor, and it can run inside your own data centre.
Where does the training data come from?+
Licensed and consented sources only: permissively-licensed corpora with attribution, public-domain material, and recordings gathered with consent. Every utterance in the pipeline carries a licence, an attribution and a consent reference, and no video site is scraped. Your own call recordings are not part of it — customer conversations, recordings and knowledge bases are not used to train models.
Can I try it without signing up?+
Yes. Each of the ten languages has a free page with a working generator on it — paste your own text in the native script or romanised, and hear it. There is no sign-up, no watermark and no card. If it does not sound right on your text, you have lost two minutes rather than a quarter.
Can these voices answer a live phone call?+
That is what they are built for. The generator pages are the same production engine with a text box in front of it — the voice you hear there is the voice that answers, books and follows up on real calls, streaming with sub-second latency in a live conversation.
How do I stop the agent switching to the wrong language mid-call?+
Pin the language on the agent rather than leaving it on auto-detect, and where you genuinely need detection, restrict it to the languages your deployment serves. Detection drift is real — we have watched it flip between Hindi, Urdu and English inside a single call with one speaker — and pinning removes the failure mode entirely.
Put an Indian-language agent on your phone line
Sign up free and get $1.01 in credit — no card required. Connect your number, pick a template, and go live in minutes.