Translation API in India (multi-language, ₹ pricing)

Translation API in India (OpenAI-compatible, ₹ rupees)

Translate English to Hindi, Marathi, Tamil, Telugu, or any language. unoblox's LLMs handle 50+ languages at one endpoint, billed in ₹ rupees on a GST invoice.

Here's the 3-step setup + real ₹ costs.

Why unoblox for Indian language translation

• Multi-language: Hindi, Marathi, Tamil, Telugu, Kannada, Bengali, Gujarati
• Quality: Qwen3 and DeepSeek trained on multilingual data; preserve context
• Cost: Qwen3 Max at ₹120.95/1M (affordable for high-volume)
• ₹ billing: No international payments; GST invoice for compliance

Recommended models

• Qwen3 Max (₹120.95 input / ₹604.77 output): Best for Indian languages
• DeepSeek V3.2 (₹26.21 input / ₹38.30 output): Fastest, cheapest
• Claude Sonnet (₹201.6 input / ₹1,008 output): Superior nuance

Step 1: Set up the client

from openai import OpenAI

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

Step 2: Translate English to Hindi

response = client.chat.completions.create(
    model="qwen/qwen-3-max",
    messages=[
        {"role": "system", "content": "Translate to Hindi. Preserve tone and context."},
        {"role": "user", "content": "Welcome to our e-commerce platform. Browse and checkout securely."}
    ]
)

hindi_text = response.choices[0].message.content
print(hindi_text)

Step 3: Batch translate 1000s of strings

from concurrent.futures import ThreadPoolExecutor

def translate(text):
    response = client.chat.completions.create(
        model="deepseek-ai/deepseek-v3.2",
        messages=[
            {"role": "system", "content": "Translate to Hindi. Keep it short."},
            {"role": "user", "content": text}
        ]
    )
    return response.choices[0].message.content

with ThreadPoolExecutor(max_workers=5) as executor:
    hindi_strings = list(executor.map(translate, english_strings))

Real ₹ cost: 5,000 products to 3 languages

Using DeepSeek V3.2:

• Total: ₹150.89 for 5k products to 3 languages
• Cost per product: ₹0.03 (₹0.01 per language)

Using Qwen3 Max:

• Total: ₹1,723.59
• Cost per product: ₹0.35

DeepSeek is 11× cheaper while producing high-quality Hindi text.

Language support

Language	Strength
Hindi	Qwen3 excellent, widely spoken
Marathi	Qwen3 strong, Western India
Tamil	Qwen3 good, South India
Telugu	Qwen3 good, South-central
Gujarati	Qwen3 good, Northwest
Bengali	Qwen3 good, East India

Tips for localization

1. Mark proper nouns: "Keep 'iPhone' unchanged; translate the description."
2. Spot-check quality: Verify 10% of translations
3. Cache translations: Store (text, language) pairs to reduce API calls
4. Frontend support: Ensure RTL script rendering for Tamil/Telugu
5. Batch overnight: Process 1000s overnight; no rate-limit stress

Frequently asked questions

Q: How accurate is machine translation for Hindi? A: Very good for factual, structured content like product descriptions and FAQs. Creative or idiomatic content (slogans, marketing copy) needs a human pass — spot-check a sample before publishing at scale.

Q: Can I translate Hindi back to English? Yes. Quality is high both directions. Same prompts work both ways.

Q: How do I handle slang or regional expressions? Add context: "Translate this marketing slogan to Marathi for Pune. Keep the playfulness."

Q: Should I cache translations? Absolutely. Store (text, language) → translation pairs. Reduces API calls by 50%+.

Q: What about real-time chat translation? Yes. Embed translation in your chat handler. Latency: 100–200ms per message (acceptable).

Q: Does unoblox handle all Indian languages? Yes. Qwen3 supports 50+ languages including all major Indian languages natively.

Get started in rupees

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