The 12 system voices
Cualify ships with 12 voices covering the major Indian languages. All voices use Sarvam Bulbul:v2 under the hood — a multilingual model that handles each speaker's native script plus English code-mixing naturally.
Hindi (north India)
- Aarav — male, warm. Good for collections, support callbacks.
- Anaya — female, professional. Default pick for outbound sales.
Marathi (west India)
- Kavya — female, conversational.
- Rohit — male, energetic. Pairs well with consumer-app onboarding.
Tamil + Telugu (south India)
- Divya — Tamil female, friendly.
- Karthik — Tamil male, formal.
- Lakshmi — Telugu female, warm.
- Arjun — Telugu male, neutral.
Bengali (east India)
- Ananya — female, gentle.
Kannada (south India)
- Deepak — male, businesslike.
English (pan-India)
- Olivia — female, neutral Indian-English accent.
- Ethan — male, neutral. Default for English-only campaigns.
Picking the language
Counter-intuitive but well-tested at scale: Hinglish (हिन्दी + English auto-mix) outperforms pure Hindi in 70% of Indian urban SMB use cases. Why? Because that's how Indian SMBs actually speak — "Sir aapka EMI due hai, would you like to pay via UPI?" is more natural than the equivalent in either pure language.
Pick by audience region
- Tier 1/2 urban (Delhi-NCR, Mumbai, Bangalore, Hyderabad) → Hinglish or Indian English
- Tier 3+ towns, semi-urban → regional language (Hindi/Tamil/Telugu/etc.)
- Pan-India professional B2B → Indian English (Olivia or Ethan)
- Vernacular consumer (BFSI, EdTech tier-2/3) → matched regional language with a sub-30-word greeting (any longer feels scripted)
22 supported languages (full list)
English, Hindi, Tamil, Telugu, Marathi, Bengali, Gujarati, Kannada, Punjabi, Malayalam, Odia, Assamese, Urdu, Sindhi, Hinglish — and 7 more via the multilingual auto-detect model. Native scripts render correctly in transcripts.