Soynet Unveils AI-Powered Multilingual Interpretation Technology, Targeting Global Communication Barriers

South Korean AI technology company Soynet has developed an advanced multilingual interpretation service that leverages artificial intelligence to break down language barriers across multiple sectors. The proprietary technology can recognize 37 languages and translate into 123 languages with minimal latency, offering real-time interpretation for diverse professional and personal scenarios.

The service provides comprehensive features including Speech-to-Text downloads, professional summary generation, and AI-powered Text-to-Speech streaming. Its applications span international conferences, business negotiations, educational environments, and customer support platforms, demonstrating significant potential for global communication enhancement.

Key innovations include real-time translation with high accuracy, support for both PC and mobile platforms, and customizable interpretation environments. The technology is particularly transformative for industries requiring multilingual interactions, such as international business, tourism, and educational institutions serving multicultural populations.

Notably, Soynet has received official recognition from Korea's Public Procurement Service, securing entry into the public sector market. This validation suggests potential widespread adoption of its interpretation technology across government agencies and public institutions.

CEO Jungwoo Park anticipates that AI simultaneous interpretation could replace human interpreters within three years, while emphasizing the ongoing social value of foreign language proficiency. The company is actively seeking partnerships with universities, public institutions, and missionary organizations to expand its market reach.

With continuous research and development, Soynet aims to lead the global AI simultaneous interpretation market by offering customized solutions and investing in innovative translation technologies that promise more natural, context-aware communication experiences.