Chikitsa STT (Speech-to-Text) is a multilingual, AI-powered voice engine specifically designed for clinical settings. It goes beyond generic transcription, offering a context-aware, template-aligned, and medical-grade documentation experience.
Our Core Strengths:
โ Medical Vocabulary Trained
Trained on domain-specific datasets, including symptoms, diagnoses, medications, and treatment plans โ ensuring >99% accuracy in both Hindi and English, plus support for 9+ Indian & global languages.
โ Real-Time Structuring to EMR
Automatically formats speech into pre-defined EMR templates, saving clinicians or staff from manual data entry and improving the quality and consistency of documentation.
โ Contextual Intelligence
Understands the sequence and intent of medical conversations โ adapting to natural speech patterns, accents, and clinical shorthand.
โ Multilingual & Code-Mixed Speech
Handles Hindi-English code-mixed inputs with ease โ ideal for how real consultations happen in India and other multilingual regions.
โ Voice e-Prescriptions & Notes
Enables instant creation of digital prescriptions, progress notes, and discharge summaries โ hands-free and hassle-free.
โ ABDM-Ready
Seamlessly integrates with ABDM-compliant workflows for hospitals and digital health platforms.
๐ก Why it matters:
Clinicians can now dictate naturally, while Chikitsa STT does the heavy lifting, capturing every word with clinical precision and auto-filling EMRs in real-time.
๐ฒ Book a demo today at www.chikitsa.io and experience the future of voice-powered healthcare.
Chikitsa.io Chirag Goyal Rahul Agarwal Rohit Soni Adhiraj Shekhawat Lokesh Kapoor Sanjeev A. Amit Mansingh TTP HEALTH Manish Kumar Gupta Ambarish Giliyar Parul Aggarwal Piyush Sanduja Dr Avneesh Khare, MBBS, MD, DNB, PDCC, MNAMS, MBA Dilip Kumar Aditya Srivastava
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