Unlock your
voice's potential.

22+ Indian languages, including Hindi, Telugu, Tamil, Kannada, Malayalam, Bengali, Marathi, Gujarati, Punjabi, Odia, and Assamese, alongside Indian-accented English. Each language ships with multiple voice profiles across male and female voices and several age and tone ranges.

AI4Bharat's Indic-TTS work out of IIT Madras is excellent research and the right starting point if you want to self-host and have ML engineers to run inference. IRA is built for a different situation: a hosted API with latency guarantees, voice consistency across a brand, SSML control, and support, so a product team can ship voice features without standing up a model-serving stack. If you are evaluating both, the real question is whether you want to own the infrastructure or the outcome.

Sub-200ms for streaming audio, which is the threshold where a conversation stops feeling like a system responding and starts feeling like a person talking. That matters most in interruption handling — when a caller talks over the agent, the recovery has to be fast enough that the caller does not notice the seam.

Yes, and this is the part most TTS engines get wrong on Indian text. Real Indian speech mixes languages inside a single sentence — a Telugu sentence with English numbers, prices, and product names in it. IRA handles the pronunciation and prosody across that switch rather than reading the English words with Telugu phonetics or vice versa.

Yes. The three most common uses outside voice agents are IVR modernisation, where natural audio measurably reduces caller drop-off versus older concatenative voices; ad and explainer voiceovers, where one script becomes ten language versions in minutes instead of ten studio bookings; and e-learning narration at scale.