Profuz LAPIS highly regarded as an indispensable tool for enhanced efficiency
4 April 2025, Sofia, Bulgaria – Leading European tech developer Profuz Digital unveils the latest editions in its Profuz LAPIS media asset management system in time for the NAB Show which takes place in Las Vegas, Nevada from 5 – 9 April. NAB is the industry’s leading international trade show that shines a light on next-generation technologies and emerging business trends. (https://www.nabshow.com/)
AI-enabled digital asset management media systems are bringing revolutionary change to the industry. Digital asset management is a crucial requirement for most businesses to survive what is coming ahead, as these systems offer a centralized, secure, and efficient way to manage digital assets as digital content production grows exponentially. While the full value of technology continues to become evident, it is obvious that AI has tremendous potential to streamline and speed up data processes, with the promise of significant productivity gains and competitive advantage.
Powering AI with a media asset management system can assist companies in accomplishing tasks more efficiently. MAMs encompass tools for workflow management, orchestration, and automation, which, when joined with AI technology features such as enriched metadata and speech-to-text, provides new levels of functionality. User-friendly media asset management system Profuz LAPIS is making headway in this read, already being used by global broadcasters such as Canal+ France, Council of Europe, Bulgarian National Radio and many other organizations. It is loaded with every tool and feature required to manage multiple TV channels and was designed to organize all media assets within a media organization, including movies, documentaries, series, clips, and promotions, to be categorized, searched, filtered, and sorted. Additionally, tools for importing and mass editing are provided to facilitate the most efficient asset management processes.
Profuz LAPIS appeals to broadcasters, television studios, production companies and postproduction facilities owing to its advanced technologies that facilitate complex workflow efficiency by empowering media firms to be able to synchronize seamlessly with other departments and teams, while still adhering to cost-effective parameters and resourcefulness.
CTO and developer at Profuz Digital Kamen Ferdinandov is passionate about providing businesses with platforms that adapt to their workflow as opposed to the other way around. He outlines below what he thinks makes the AI capability in LAPIS different to other media asset media systems that are AI-enabled, expanding on why he believes companies should choose Profuz Lapis over other systems at this critical time. Kamen not only possesses the expertise, instinct and ingenuity in this vital area, but has been way ahead of the curve, noted, “My focus is on how we can continue to make life easier for broadcasters, and how we can create software that adapts to each customer’s unique way of working. By investing in Profuz LAPIS, organizations of all sizes immediately place themselves in the best position to capitalize on next-generation technologies and continue to evolve their business to stay ahead of the competition. We are passionate to help broadcasters work in the most efficient manner possible.”
“The architecture in Profuz LAPIS is built with the vision to allow for further additional data processing, transformation and aggregation modules to be included. The ability to be able to add AI-enabled data processing, transformation and aggregation is already effortless in LAPIS, as it has been programmed to do it naturally. In LAPIS, this processing is classified and it’s possible to have more than one module per type,” Kamen explained, “For example, you can add multiple translation engines, so that the most appropriate one, based on language pair, or type of translation, and so forth, can be selected.”
LAPIS also supports local or cloud AI engines. Owing to the fact that LAPIS can perform various other data transformations, this makes it possible for some AI processing data to be pre-processed before using a particular engine, or post-processed after an engine.
Another unique advantage of LAPIS is that it can provide or prepare complex data to AI engines. This means that not only singe data objects and their primary metadata can be used as source material for AI engines but also related objects’ metadata. Some AI engines allow for the use of different types of data for common vectorization – for example text, images and sounds to use common classifiers – LAPIS is perfect for these scenarios because of its data handling approach of all the data and any data within a single hub.
As a leading platform, LAPIS prioritizes digital security with its advanced features.
Profuz LAPIS provides major benefits regarding global scalability and integration as it is adaptable and designed for global scalability by offering seamless integration capabilities with various organizational tools, encompassing content management systems, marketing platforms, and design applications. Such integrations facilitate the effortless transfer and management of digital assets across different platforms, minimizing the need for manual intervention and enhancing organizational productivity.
As the central hub of enterprise data management, LAPIS serves as a powerful data analytics and reporting tool that improves over time with machine learning capabilities.
In addition, LAPIS is an excellent and reliable centralized asset source. Digital asset management platforms offer a unified solution for organizing and accessing a variety of digital content, ranging from images and videos to text documents and audio files. This centralization is pivotal in eliminating the inefficiencies associated with scattered storage systems, ensuring consistent brand representation. Advanced search functionalities and metadata tagging capabilities expedite asset retrieval, streamlining workflows and boosting productivity.
Highlights of recently added AI features currently available in the Profuz LAPIS system include:
Semantic search – a powerful feature that allows all text based data in LAPIS to be searched semantically or by meaning, in addition to the obvious keyword or phrase searches.
Speech to text converts audio and video files to timed text. This can be used for subtitles or text search into associated media files. Depending on the engine, various languages are supported, and some engines allow direct translation from audio. For example Whisper allows any supported language to English, whereas Microsoft allows any supported multiple languages simultaneously.
Speaker identification can identify different speakers in the audio/video materials. This can be used for automatic segmentation, classification, and much more.
Text to speech features support of both normal and timed text is supported.
Translation of simple text, text files and timed text can be translated. Timed text is managed by LAPIS for the engines that do not support timed text translation.
Object recognition is available for both images and videos. Depending on the chosen engine, various types of objects can be automatically detected allowing sub-image classification and search function.
Face recognition – In LAPIS you can add identity photos which can be used to recognise people in images and videos. Unknown faces will only be detected and further classified manually. This data is used also in search results.
Text extraction (OCR is available for both images and videos, depending on the engine that is used and the multiple languages that are supported. All extracted text is used for search results too.
“Broadcasters are having to look at new ways of tackling challenges, and it is vital that our customers are well supported,” said CEO of Profuz Digital Ivanka Vassileva, “We continue to work towards a more flexible and sustainable future by addressing the demand for enhanced digital capability. Our team is passionate to help people navigate a dynamic mediascape, while armed with the best technology.”
“Real innovation not only involves listening and understanding goals, but it is also about envisaging requirements and providing the appropriate technology. Our goals at Profuz LAPIS are to continually refine the capabilities in our media asset management system Profuz LAPIS and stay true to our user-focused approach in everything we do.” Kamen Ferdinandov confirmed.
Gain further insight by watching this informative series of Profuz LAPIS mini tutorials via You Tube here.
About Profuz Digital
Profuz Digital develops and provides performance-leading solutions for customizable engineering system integration to empower content providers, broadcast, production, and post-production professionals to operate efficiently at the forefront of an ever-evolving digital environment. Profuz Digital’s primary focus is flexibility, futureproof customer-driven product innovation, fast deployment, along with committed teamwork. Creators of the advanced real-time and offline captioning and subtitling software platform SubtitleNEXT and Profuz Digital’s digital asset workflow management platforms, Profuz LAPIS, designed to efficiently centralize processes and data all under one roof. The NEXT-TT system combines SubtitleNEXT’s functionalities with Profuz LAPIS into an all-in-one powerful hybrid technology-base that provides media professionals with a versatile backbone for enhanced localization services. NEXT-TT can be customized to produce targeted management and efficient workflows. It manages subtitles, dubbing and localization services for media content including the coordination of teams of translators, subtitlers, AV professionals, creative freelancers, while providing users with powerful toolsets in a secure workspace environment. www.profuzdigital.com
