Voice AI

Multilingual Speech AI

Speech recognition and synthesis tuned for Indian languages, Indian accents and the way people actually code-switch.

Delivered as part of a voice deployment

Most speech stacks are built English-first and degrade badly on Indian names, accents and mixed-language speech. We tune the whole path for it — recognition on Indian accents, generation in native script rather than transliteration, and number formatting so a phone number is read digit by digit rather than as a quantity in lakhs.

What this solves

  • Transcription failing on Indian names, places and accents
  • Text-to-speech mispronouncing Hindi and Telugu written in Latin script
  • Phone numbers and reference numbers read aloud as huge numbers
  • Code-switched speech being transcribed as nonsense

What you get

  • ASR tuned for Indian accents and code-switching
  • Natural TTS across supported Indian languages
  • Native-script generation to guarantee correct pronunciation
  • Digit and quantity formatting rules for spoken output
  • Live language detection and switching mid-conversation

Technology

Sarvam AIWhisperElevenLabsPipecat

Where we've deployed it

Frequently asked

Do you support Hindi and regional Indian languages?

Yes — English, Hindi, Telugu, Tamil, Kannada, Malayalam, Marathi, Gujarati, Bengali and Punjabi. Recognition is tuned for Indian accents including code-switching such as Hinglish and Tenglish, and generated speech uses native script because transliterated Indic text is badly mispronounced by text-to-speech engines.

Talk to the engineers who build it

Tell us the problem and we'll tell you whether multilingual speech ai is the right answer — and what it would take.