Amsterdam, Netherlands The, 28th Mar 2024, Grand Newswire - Dubformer, a prominent AI dubbing startup, renowned for its high-quality dubbing and voice-over services catering to the media industry, has introduced its AI video dubbing service. With support for over 70 languages and language variants, and boasting a roster of over 1000 voices, the solution marks a significant step forward in the realm of automated dubbing.
At the core of Dubformer's offering lies a sophisticated technology stack, meticulously crafted by a team of top AI experts. This stack encompasses Speech Recognition, Voice Biometrics, Speaker Diarization, Machine Translation, Generative Voices, and AI Mixing. Complementing this advanced technology is the Human Touch platform, where professional proof-listeners meticulously review and refine the AI-generated content, ensuring it meets industry standards.
The integration of artificial and human intelligence enables Dubformer to deliver dubbing and voice-over services of exceptional quality, all while drastically reducing localization costs and turnaround times. This innovative approach has already garnered attention worldwide, with Dubformer's AI-dubbed content finding its place on television and premier OTT streaming platforms.
Despite its focus on disrupting the media landscape, Dubformer remains committed to supporting smaller media outlets, including influencers and content creators. The company has launched a video translation platform tailored to the needs of creators seeking an intuitive video dubbing tool. This automated solution is particularly well-suited for experimenting with user-generated content on digital platforms such as YouTube, Facebook, and Instagram.
About Dubformer:
Dubformer is an AI dubbing startup specializing in providing broadcast-level quality dubbing and voice-over services to the media industry. With its unique technology stack developed by a team of leading AI experts, coupled with the Human Touch platform, Dubformer ensures that its services consistently meet industry standards.
