How AI is helping firms tap users of Indian languages

Do you know that close to a million bookings are done in local languages daily on the Ola app? HDFC Securities became India’s first trading house to offer stock trading services in local languages over “HDFC Sec” Android app, enabling its customers to buy and sell stocks in 12 Indian languages. Reverie, one of the first Indian technology-based languages localization company, provides a cloud-based Language-as-a-Service for its enterprise customers for real-time conversions, search, intent and sentiment analysis, conversations across text and voice platforms Vernacular.Ai’s B2B platform helps companies build multi-lingual chatbots in Indian languages. These include e-commerce giant’s Amazon’s Alexa being prepped up for Hindi, Reverie’s Gopal being tested for seven Indian languages and Liv.AI’s engine that is being adopted by players across various industries. Once neural network-based speech recognition engines come of age for Indian languages localization, they will find wide adoption across use cases and applications including voice-based searching from web based applications, query search on platforms of e-commerce, health, travel, media, entertainment, etc., video/audio transcription for subtitling and captioning, analysing audio for semantics and categorization, command-based embedded services and voice based assistants.