AI for media & publishing in India

India's newsrooms, magazines and digital publishers generate an enormous volume of text every day — headlines, summaries, social captions, newsletter copy — and most of that work is now assisted by large language models somewhere in the pipeline. unoblox gives Indian media teams one OpenAI-compatible endpoint and one ub-gw- key to reach GPT, Claude, DeepSeek, Qwen, Llama and more, billed entirely in rupees on a monthly GST invoice rather than a foreign-currency subscription.

What newsrooms and publishers actually build

Most editorial AI use is unglamorous and high-volume: drafting headline variants for A/B testing, summarising a long story into a push notification or newsletter blurb, writing SEO meta descriptions, cleaning up a reporter's rough notes into publishable copy, and moderating reader comments before they go live. None of this replaces a journalist or editor — it removes the repetitive first draft so a human can review, correct and publish faster.

Matching the model to the job

A wire-style rewrite doesn't need the same model as a signature long-form feature. High-volume, low-stakes drafting is cheapest on a fast model; long-form or fact-sensitive editorial drafting is worth paying more for a stronger general-purpose model, with an editor reviewing the output either way.

Model	₹ / 1M input	₹ / 1M output	Typical use
qwen/qwen3-1.7b	0 (free)	0 (free)	Prototyping a newsroom tool before committing budget
deepseek-ai/deepseek-v4-flash	9.07	18.14	Headline variants, caption rewrites, high-volume drafts
qwen/qwen3-235b-a22b-instruct-2507	9.07	55.44	Regional-language summaries and localisation
openai/gpt-5	126	1008	Longer-form editorial drafting where quality matters most

Rates above are indicative; the live rate for any model, including the rest of the OpenAI, Anthropic, Llama and Gemma lines on unoblox, is always shown on /models.

Regional languages without a separate vendor

Indian publishers routinely need the same story in Hindi, Tamil, Telugu, Bengali or Marathi. unoblox doesn't maintain a bespoke language-specific model for this — instead, route the task to a model with broad multilingual training, such as qwen/qwen3-235b-a22b-instruct-2507, meta-llama/llama-4-scout-17b-16e-instruct, or openai/gpt-5, and keep a language editor in the loop to check idiom and regional tone before publishing, the same way you would with a human translator's first draft.

Calling it from your CMS or editorial tools

from openai import OpenAI

client = OpenAI(
    base_url="https://api.unoblox.ai/v1",
    api_key="ub-gw-xxxxxxxxxxxxxxxxxxxx",
)

draft = client.chat.completions.create(
    model="deepseek-ai/deepseek-v4-flash",
    messages=[{"role": "user", "content": "Write three headline variants for this press note."}],
)

Streaming and JSON mode work unchanged, so an existing OpenAI-based editorial tool typically needs only the base URL and key swapped.

What "India" means here, honestly

The larger models above still run on their original providers' infrastructure, not inside an Indian data centre — unoblox does not claim otherwise. What genuinely changes for an Indian publisher is commercial: rupee billing, one monthly GST invoice with input tax credit claimable, no international card, and a single key for every model in the catalogue.

Frequently asked questions

Can unoblox write directly in Hindi, Tamil or other Indian languages? Yes, using a multilingual model such as Qwen3 235B-A22B, Llama 4 or GPT-5 — quality varies by language and should be checked by a native-language editor before publishing.

Is our editorial content stored on servers in India? Only if you specifically use the unoblox-hosted free qwen/qwen3-1.7b model. Larger external models run on their original providers' infrastructure; the India-specific benefit for those is rupee billing, GST invoicing and one endpoint, not data residency.

Can we plug this into our existing CMS or editorial workflow tool? Yes. Any tool built against the OpenAI API works by changing the base URL and key, since unoblox is OpenAI-compatible end to end.

Does it fact-check or verify claims automatically? No. It drafts and summarises; verification and editorial judgement remain with your journalists and editors.

Is there a free way to try this before committing budget? Yes, qwen/qwen3-1.7b is free to call, which is enough to prototype a headline or summary tool before scaling to a paid model.

How is this billed for a media company's finance team? In rupees, on one monthly GST invoice covering every model used, with input tax credit claimable — no foreign-currency card or manual conversion needed.

Get started in rupees → https://unoblox.ai/sign-in