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Voice Model Deep Dives•7 min read

Sarvam Saaras vs. Google Speech: The Battle for Hinglish Accuracy

Rish

Rish

VoiceAI Expert

For years, Indian developers had only one real choice for speech recognition: Google Cloud STT.

Google is good. It supports Hindi, Tamil, and Marathi. But anyone who has tried to build a real-world app knows the pain points:

  1. Code-Mixing: Indians rarely speak pure Hindi. We speak "Hinglish" (Hindi + English mixed).
  2. Cost: Google is expensive ($0.016/min).
  3. Formatting: Getting phone numbers (e.g., "98-40...") right is a nightmare.

Now comes Sarvam Saaras, a model built in India for India. Let's put them head-to-head.

1. The Code-Mixing Test

Audio: "Call center ko call karo aur poocho ki mera refund kab aayega." (Call the call center and ask when my refund will come.)

  • Google Cloud: Often struggles. It might transcribe "Call center" in Devanagari script (कॉल सेंटर) while the rest of the sentence is mixed, or it forces the whole sentence into English script.
  • Sarvam Saaras: Designed for this. It seamlessly switches scripts or maintains a romanized format if requested. It understands that "Refund" is an English concept embedded in a Hindi sentence.

2. Pricing Breakdown (₹ vs $)

This is where Sarvam destroys the competition.

  • Google Cloud STT: ~$0.016 / minute

    • Per Hour: ~$0.96 (approx ₹80)
    • Billing: 15-second rounding.

  • Sarvam Saaras: ₹30 / hour

    • Per Hour: ₹30
    • Billing: Per second.

Result: Sarvam is nearly 60-70% cheaper than Google, even before factoring in rounding savings.

3. Telephony & Noise

Google's "Enhanced" models are great for clean audio. But Indian telephony is... noisy. Sarvam's models are fine-tuned on 8kHz telephony audio with background noise (traffic, fans, street sounds).

In our tests on low-quality MP3 recordings from WhatsApp:

  • Sarvam: maintained >90% accuracy.
  • Google: accuracy dropped significantly, often missing the start/end of sentences.

4. The "Translation" Bonus

Sarvam offers a unique API endpoint: Speech to Text + Translate. You can speak in Tamil, and get the output in English text instantly.

  • Cost: ₹30/hour (Same as standard STT!).
  • Google: You would need to pay for STT + Translate API separately, doubling the cost and latency.

Conclusion

Winner: 🏆 Sarvam Saaras.

If you are building for the Indian market, there is no reason to use Google Cloud anymore. Sarvam is cheaper, faster, and culturally smarter.