Tag: voice-to-text transcription

Summary:Nagish, a provider of AI-powered phone captioning and transcription tools for the deaf and hard of hearing, has been named the 2025 Speech to Text Solution of the Year by the AI Breakthrough Awards, recognizing its secure, real-time, and highly accurate speech-to-text services. Key Takeaways: Nagish’s FCC-certified AI platform offers real-time, highly accurate transcription, supporting everyday and critical communications. The service enables fully independent conversations without intermediaries on web-enabled devices, making communication private and immediate for users with hearing loss. Recognition comes as Nagish expands its federally certified services and sees rapid user growth, highlighting rising demand for accessible, AI-driven communication technologies. The Nagish phone captioning/transcription app from Nagish, a provider of AI-powered communication tools for the deaf and hard of hearing, has been named the 2025 Speech to Text Solution of the Year by the AI Breakthrough Awards. The award is focused on recognizing the breakthrough companies, technologies, products, and services in the field of artificial intelligence around the world. Nagish's mission is to make communication immediately accessible, secure, and private for all, enabling users with any level of hearing loss to interact independently and without fear of transcription errors. Leveraging natural language processing (NLP) technology to deliver AI-powered speech-to-text services designed specifically for the deaf and hard-of-hearing communities, Nagish is designed to enable real-time communication in any scenario. According to the company, Nagish's FCC-certified service outperforms both human transcribers and other AI tools, offering extreme accuracy in both everyday calls and critical situations like medical conversations and emergency calls. https://hearingreview.com/hearing-products/amplification/amplified-caption-phones/hr-telephone-captioning-showcase At the heart of Nagish's platform is its advanced AI system that provides real-time, accurate speech-to-text and text-to-speech services. Users can engage in phone calls and conversations using web-enabled devices, eliminating the need for intermediaries. Nagish's AI algorithms are continuously refined to improve transcription accuracy and speed, to help ensure reliability in high-stakes environments. "We are thrilled to be recognized by the AI Breakthrough Awards for our innovation in speech-to-text technology," says Tomer Aharoni, CEO of Nagish. "This award reflects our team's relentless dedication to creating accessible communication solutions that make a difference in people's lives. Nagish is committed to improving the quality of life for those who need it most, and we are excited to continue pushing the boundaries of AI to deliver even more impactful solutions for these communities." Nagish phone captioning app screenshot This recognition builds upon Nagish's expanding regulatory certifications and market success. Following its FCC certification for IP CTS in January 2024, Nagish achieved IP Relay certification from the FCC in January 2025, further expanding its suite of federally certified communication services. The company's free app continues to transform how millions engage in personal and professional interactions, with a 500% surge in active users, reflecting the growing demand for accessible communication technologies. About Nagish Nagish is an AI-powered platform that offers private, real-time speech-to-text and text-to-speech solutions for the deaf and hard-of-hearing communities. By removing barriers to communication and adhering to the highest regulatory and privacy standards, Nagish aims to transform how individuals connect in personal, professional, and public settings, enabling truly accessible communication for everyone. Nagish has offices in New York and Tel Aviv. For more information, visit nagish.com. Featured image: The Nagish team gathers to celebrate winning the AI Breakthrough Award. Photo: Nagish

Tag: voice-to-text transcription

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