Bhashik
Bhashik is Krutrim’s advanced Indic AI model, purpose-built for vernacular speech and text processing. It is optimized for Text-to-Speech (TTS) and Speech-to-Text (STT) use cases across multiple Indian languages, enabling natural, context-aware communication for diverse regional audiences.
Bhashik powers a wide range of capabilities for both text and speech workflows, making it ideal for building applications such as voice assistants, multilingual customer support, automated transcription, and real-time translation.
Capabilities
Text-based AI Services
Text Translation – Translate written content between multiple languages with high accuracy and cultural nuance.
Language Detection – Automatically identify the language present in a given text snippet.
Entity Extraction – Identify and extract specific data points or entities from text for structured analysis.
Sentiment Analysis – Detect the overall sentiment of content or the sentiment toward a specific entity.
Summarization – Condense long text into concise summaries while preserving meaning.
Speech-based AI Services
Text to Speech (TTS) – Convert written text into natural-sounding speech across multiple Indian languages.
Speech to Text (STT) – Transcribe audio into text accurately, making it easy to record and analyze spoken content.
Speech to Speech – Translate spoken language directly into another language, enabling fluid, multilingual conversations.
Key Advantages of Bhashik
Vernacular-first Approach – Built to natively support Indian languages and dialects.
Multi-modal Support – Seamless integration across both text and speech processing tasks.
High Accuracy – Optimized for real-world scenarios such as noisy environments and regional pronunciations.
Customizable – Can be fine-tuned or adapted for domain-specific vocabulary and context.
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