Vaghenu, a meter aware sloka-to-chant, TTS for Sanskrit
Details
- External ID
- 48728732
- Source
- HN
- Company
- —
- Product
- —
- Website domain
- —
- Launched
- June 30, 2026
- Cohort
- —
- Upvotes
- 10
- Upvotes percentile
- 0.5935792349726776
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
A 15-year-old dream has come true today. I started a PhD with the dream of creating a system that chants any Sanskrit shloka perfectly.And here I am opening sourcing Vaghenu, a meter aware sloka-to-chant, TTS for Sanskrit . This is the world's first vrutta-aware, open-source TTS for Sanskrit Chanting. I am making the model weights, training scripts, and even data (that I meticulously collected) public - https://prathosh.in/vagdhenu/No large AI lab. No big engineering team. No venture-scale budget. Just a professor's conviction that one of humanity's oldest knowledge traditions deserves modern, open infrastructure.The name comes from the Upanishadic phrase: "Vācaṃ dhenum upāsīta" - Like the mythical wish-fulfilling cow, Vāgdhenu is intended to make Sanskrit texts more accessible to students, teachers, researchers, and devotees everywhere.Test out the live demo here and let me know your comments - https://prathosh.in/vagdhenu/The entire system, from data collection to model building and demos, is built by a single person (your truly) using the powerful harness that we are building at LatentForce.I have attached a sample audio file generated by the system.P.S: Posting on behalf of my friend, their aren't on HN.
Enrichment
- Theme
- Vertical
- Education
- Function
- Content generation
- Audience
- B2C
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- text-to-speech for sanskrit chanting
- Manually corrected
- False
Could you build this?
No Developing a meter-aware (vrutta-aware) Sanskrit chant TTS represents a multi-year academic research effort requiring specialized expertise in computational Sanskrit prosody and custom speech synthesis model training.
What it would actually take: A production version requires a prosodic parser for Sanskrit metrical structures (chandas/vrutta), specialized phoneme alignment datasets recorded by Vedic/classical chanters, and an acoustic TTS model (such as a tailored VITS/FastSpeech architecture) conditioned on duration and pitch contours defined by poetic meters. Developing this necessitates deep computational linguistics domain knowledge and curated high-fidelity audio recordings.
Discussion
2 comments analyzed.
Competitors mentioned: Google AI Studio audio models
Concerns raised: Schwa deletion issues with Sanskrit content, Unclear if it supports prose (currently appears to be verse-focused)
Feature requests: Support for prose in addition to verse, Side-by-side page image view for proofreading without pane switching
Competitors
Other products that read as similar to this one — 50 launches clear the similarity bar, closest 8 shown.
Attention rank: #23 of 51 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 204 days after the earliest competitor.
- Bhagavan · hn · 2026-02-08 · 5 upvotes · similarity 0.41
- Moonshine Open-Weights STT models · hn · 2026-02-24 · 316 upvotes · similarity 0.40
- A bilingual guide to Thaayam, a Tamil board game · hn · 2026-04-26 · 11 upvotes · similarity 0.39
- Dengen Shrine · hn · 2026-02-05 · 6 upvotes · similarity 0.39
- We built a tool to dub any video in the original voice in 40 languages · hn · 2026-06-07 · 8 upvotes · similarity 0.38
- Haindavam · ph · 2026-09-07 · 1 upvotes · similarity 0.38
- MiliKara · github · 2026-09-26 · 23 upvotes · similarity 0.37
- My attempt to formalize "Buddhist" reality · hn · 2026-01-15 · 5 upvotes · similarity 0.37
Other launches for this product
- No other launches for this product.
Same idea, different domain
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