Profuz transforms its Lapis tool to take advantage of the latest advantages of AI
The Lapis solution Profuz have recently been updated to incorporate new AI-based large-scale asset management capabilities.
The system Lapis integra Advanced AI to accelerate or replace an organization's manual processes, offering “innovative” tools to manage, search, edit and even create multimedia content from any device, from desktop computers, laptops, tablets and mobile phones.
Among the most notable improvements of this system are the nuevas funciones de búsqueda semántica, con capacidades avanzadas de conversión de texto capaz de funcionar sobre motores de IA locales o en la nube; la extracción automática de metadatos a partir de contenidos audiovisuales, incluyendo reconocimiento fácil, de objetos, o de marcas, u opciones de interconexión con motores externos de IA generativa. El sistema también ha sido mejorado recientemente en el contexto de IBC 2024 con compatibilidad con datos de geolocalización y mapas, el inicio de sesión seguro con contraseña, la gestión de turnos de trabajo con funcionalidad opcional de fichaje, la compatibilidad con objetos CG en el creador de listas de reproducción y mucho más.
On the other hand, within the framework of the Amsterdam meeting, SubtitleNext, a localization platform used for offline and real-time subtitling compatible with all multimedia formats, has received a new audio description feature in your subtitle preparation tool. Organizations that have invested in the SubtitleNext system include EMG, which used the tool for localization of television series such as Big Little Lies, Dexter: New Blood o Euphoria.
The Ferdinand Stone, technical director of Profuz Digital, reflects on the latest updates from Lapis y SubtitleNext: "Our goals are to continually refine the AI capabilities of our Profuz Lapis multimedia asset management system by automatically classifying audiovisual content and text to make searches increasingly powerful. We remain true to our user-centric approach in everything we do, and this is reflected in these latest versions of Lais and SubtitleNext."
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