For Indian-language newsrooms
We learn how your masthead writes, then generate articles, recaps, and audio in your tone, your idiom, your region. Hindi, Tamil, Telugu, Bengali, Marathi, and five more.
The problem
Every newsroom has a voice readers recognize. AI flattens it into a generic register that anyone can spot as computer-written inside ten seconds.
"This reads like it was written by someone who has never held a copy of our paper."
Wrong festival reference, wrong regional idiom, taboo violations the model doesn't know are taboos. Technically grammatical, substantively wrong.
"The model wished readers a happy Diwali on Bhau Beej. Different days, different things."
Most AI tools are English-first products with a translation layer bolted on. The result reads like English wearing a Devanagari costume.
"It's not Marathi. It's English transliterated. Our readers know the difference in one sentence."
Without either one, you get generic AI. With both, you get yourself, multiplied.
Upload 200 to 2,000 of your existing articles. Within an hour, your Voice Card maps your sentence rhythm, your top 30 signature phrases, your headline patterns, and the structural shapes of your most-used story types.
Per language and per region. Festivals, idioms, regional pop culture, taboo-aware. Every Indian language is at least four languages.
Voice Card
Voice Card is the fingerprint of how your newsroom writes. Sentence-length distribution. The 30 phrases you use that no other publication does. The shapes your obituaries take versus your match recaps.
Editors review every signature phrase before it goes live. Add manual notes the automated extraction missed. Re-train when you publish a new wave of articles.
Generation surfaces
For when the editor knows the story before the wire arrives. The Voice Card decides the lede, the cadence, the signature phrases. The editor decides the rest.
Pick what's actually moving in Vidarbha, in the Bhojpuri belt, in Kongu Nadu. Each topic is sourced and rankable. None of it is national-mainstream noise.
Every claim tagged with provenance. Every voice-phrase highlighted before approval. The editor sees the wire and the draft side by side; nothing gets through that the desk hasn't read.
Match goes to full-time. Ninety seconds later, you have a recap in your masthead's voice, with the result, the turning point, the key player, and the next fixture.
Punctuation paced for the breath. Numbers spelled where a reader would say them. SSML where you need it. Output is an MP3 in a voice you've cleared.
Each is at the optical size its script demands. Each is a first language inside the system, not a translation target.
Plus per-region cultural fluency. Pune Marathi is not Vidarbha Marathi. Delhi Hindi is not Bhojpuri-belt Hindi. Kongu Tamil is not Chennai Tamil. We treat each as the distinct language it actually is.
Proof
Before VartaForge there was Bobhata, a Marathi-only single-tenant article generator built for a specific publication. In editor blind tests, Bobhata-generated articles were indistinguishable from staff-written ones. The failure modes that other AI tools collapse to had been engineered out at the model layer, not papered over with a prompt.
Bobhata proved the moat exists. VartaForge productizes the mechanism so any Indian-language newsroom can use it.
Drafts come back in our Marathi, not the Mumbai Marathi every other tool gives us. The Pune ear is in there.
Pricing is set per organization, per language. We'll walk you through it on a demo. No self-serve credit-card flow; that isn't how serious newsrooms buy.
Single journalist, single language, full voice fidelity.
District-level digital pubs and small-team newsrooms.
Regional dailies running multi-edition, multi-language operations.
Conglomerates and broadcaster networks.
Pricing is built for the Indian regional market. Annual contracts available for editions running 100 or more articles a month.
A short list
Every output is a draft. Every workflow ends with a human approval. We will never position AI as replacing the editor.
We will never use one publisher's Voice Card to serve another. Your voice is yours, full stop.
We will not treat Indian languages as English with a translator. Every script we support is supported as a first language.
We will not pretend Marathi is one Marathi or Hindi is one Hindi. The whole point of cultural fluency is that the regions are different.
We will not price like US-SaaS. The plans, deployment options, and partner integrations are built for regional Indian publishing.
A 30-minute demo, on a Voice Card built from your own articles. No commitment, no slide deck.