Unlock the Power of Indian Languages with Sarvam AI

What are Sarvam's model offerings?

1. Saaras (Speech-to-Text with Translation): Sarvam's speech-to-text model combines speech recognition and translation, allowing users to convert spoken language directly into translated text. It features automatic language detection, built-in context awareness for superior speech recognition accuracy, and direct English output, making it ideal for voice-based LLM applications.
2. Mayura (Translation): Sarvam's colloquial translation model is trained on a highly diverse and high-quality dataset, enabling complex and contextual information to be made accessible across India. It supports both formal and colloquial translation across 10 Indian languages.
3. Bulbul (Text-to-Speech): Sarvam's text-to-speech model converts written text into spoken words. It currently supports 6 unique Indian voices and has been trained for superior performance on domain-specific terms and special entities like symbols, currencies, and alphanumeric characters.
   
   

How are they different?

• Available in 10 Indian languages: All the models are available in 10 Indian languages & English.
• Best-in-class accuracy in Indian languages: The models are trained on highest quality dataset representing India's diverse and rich linguistic landscape making them superior in accuracy and performance.
• Contextual Understanding: These models are trained to understand and process colloquial language, idioms, and context-specific expressions, making them very compatible for conversational applications
• High performance, low latency: Compute-efficient and cost-efficient by design, these models offer blazing fast inference making them an ideal choice for real time applications.
• Reliability and application first: These models have been trained for real world applications with a specific focus on special entities, numbers, abbreviations making them the reliable choice for population scale use-cases.
  
  

Common Applications

These models serve as powerful building blocks for a wide range of applications, including:

1. Multilingual Voice Assistants
2. Real-time Language Translation Services
3. Accessible Content Creation for Diverse Language Speakers
4. Automated Customer Support Systems
5. Language Learning Platforms
6. Voice-Enabled Navigation Systems
7. Multilingual News Aggregators and Summarizers
8. Localized E-commerce Platforms
9. Cross-lingual Information Retrieval Systems
10. Inclusive Digital Government Services
11. Multilingual Audiobook Production
12. Voice-Controlled Smart Home Devices for Indian Languages
13. AI-Powered Language Dubbing for Media Content

By leveraging Sarvam's AI models as foundational components, developers and businesses can create innovative solutions that bridge language gaps and cater to India's linguistically diverse population.