About AISongGenerator.in
We built AISongGenerator.in because music in India is intimately tied to mother tongues, cultural celebrations, and classical rhythmic traditions that Western AI audio models simply overlooked.
Our Origin
In early 2025, our founders tried generating a simple Hindi birthday song for a grandmother's 80th milestone on existing global platforms. The output sounded like American pop with disjointed auto-tuned pronunciations and zero feeling of a warm Indian home. We realized that true Indian musical synthesis requires deep grounding in Hindustani and Carnatic ragas, indigenous percussion (dholak, tabla, thavil), and natural poetic meters.
The “Riyaz Room” Ethos
In Indian classical music, Riyaz is the quiet, devoted daily discipline of practice. We rejected the flashy neon-purple “AI startup slop” aesthetic. Instead, we designed our platform to feel like a serene practice room: calm jasmine Mogra backgrounds, honest Peacock Ink consoles, clear rupee pricing via UPI, and complete respect for artist copyrights.
How we compose and review songs
1. Dual-Script Language Models: We train our linguistic pipelines to accept both native Indic scripts (Devanagari, Gurmukhi, Tamil, Telugu) and colloquial Roman phonetic spellings. Every generation provides dual transcripts so anyone can read the native script and sing along with the Roman transliteration.
2. Raga & Tala Alignment: Instead of generic chord loops, our synthesis engine pairs lyrical moods with authentic modal scales (e.g. Bhairavi for nostalgia and morning prayer; Bilawal and Kalyani for weddings and joy; Khamaj for playful romance).
3. Native Musician Sign-Off: No language or genre is launched on this website without hands-on verification by a native speaker. We evaluate vowel elongation, compound consonant clarity, and rhythm sync before marking a language “Live”.
Core team & engineering
Vikramaditya Iyer
Co-founder & AI Musicologist
Carnatic flautist and former audio DSP researcher at IISc Bangalore.
Meera Sen
Head of Regional Linguistics
Ph.D. in Indic computational linguistics; coordinates native language reviewer panels.
Arjun Kapoor
Lead Systems Architect
Full-stack web engineer specializing in Web Audio API synthesis and low-latency distributed systems.