Lahari Music
The archive was valuable. The workflow was not.
1,490 songs sitting on hard drives and file servers the way legacy catalogs everywhere do. Every song could become lyric videos in five languages, music videos, shorts, festival content. On paper, tens of thousands of pieces. In reality, a sliver. Monetizing a catalog like this means one thing: producing content at scale, at a cost and speed no traditional production setup can touch.
- One of the deepest Sanskrit and Kannada collections in the country, shipping 10% of it
- Every default failed on this domain: Whisper reads Sanskrit at roughly 55% accuracy
- Off-the-shelf image models draw Krishnas the audience rejects instantly
Five layers from catalog to published video.
The catalog became typed, agent-searchable data: ISRC, deity, language, subtitle state, clip assignments, render state, reviewer attribution. The unglamorous floor, finished first, deliberately. On top of it, a transcription engine that holds above 95% accuracy on material the global stack cannot read, and a lyrical dashboard built around the model's exact failure points, so one reviewer clears a song in minutes instead of owning it for hours.
- A custom transcription engine: chunked multi-model passes, hallucination flagging, timestamp resync
- Deity-aware, iconography-correct clip curation
- A media assistant in WhatsApp and Telegram, wired into every API in the pipeline
