Joyson Cherian

W2 Communications



AppTek and yellaUmbrella Announce Systems Integration Partnership to Provide Market-Leading Tools for Media Localization

New relationship combines best-in-class automatic speech recognition and neural machine translation solutions with advanced media processing and authoring systems


McLean, VA, June 17, 2019 – AppTek, a leader in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR) and Neural Machine Translation (NMT), today announced that yellaUmbrella, experts in media localization and access service technologies, have chosen AppTek’s ASR and MT technologies for integration with yellaUmbrella’s Nebula and Stellar media processing systems.

The integration will provide class-leading media localization and access service solutions to the broadcast and media industry. Both AppTek and yellaUmbrella understand the growing need to provide language specific media content to local audiences worldwide, and media access services to the hard-of-hearing and partially sighted communities.

“Technologies that provide productivity improvements when creating subtitles and captions for the media industry aid the spread of language localization and access services for wider audiences,” said yellaUmbrella’s Managing Director Matt Deakin. “We are impressed by AppTek’s Deep Neural Network technologies for ASR and MT, and have chosen these highly innovative solutions that will help our customers drive significant productivity gains.”

Dr. Volker Steinbiss, Managing Director of AppTek GmbH (Germany) noted that “Working with yellaUmbrella creates a unique combination of subtitling expertise and advanced technologies that will help media and broadcast subtitling customers access more languages, and provide them with a greater resource to help manage production needs and budgets.”

yellaUmbrella intends to invest significant engineering effort integrating AppTek’s ASR and MT services into its Nebula microservices platform. This will facilitate fast and easy-to-use services both for fully automated subtitling workflows and as a productivity aid in Stellar, a timed text authoring system.

AppTek recently announced a breakthrough for the subtitling and captioning markets with its Intelligent Line Segmentation© patent-pending model, unveiled at the March 2019 NAB Show in Las Vegas. This technology was developed specifically to tackle automated segmentation of text into subtitle lines and units, a challenge that the industry had previously struggled with and which prevented more widespread adoption of language technologies by the entertainment market.

“We are looking forward to leveraging yellaUmbrella’s technologies and expertise in the broadcast and media markets along with the very flexible Nebula and Stellar platforms. This partnership will also provide us with top quality tools for transcription viewing and editing linked to the source media,” said Steinbiss.


About AppTek

AppTek artificial intelligence and machine learning-based automatic speech recognition and machine translation platform is deployed for the media and entertainment industry as well as call centers. Leveraging over 30 years’ worth of experience its scientists and research engineers support the research and development of practical systems – AppTek enables the highest quality automatic speech recognition and machine translation solutions available anywhere for enterprises everywhere. The streaming real-time combination allows for live closed captioning and speech to speech translation as in the AppTek closed captioning appliance available to TV stations and the Talk2me® app available on the AppStore. AppTek’s ASR and Neural MT are also available via its cloud API services. For more information, please visit


About yellaUmbrella

With over 40 years’ experience in the subtitling localization and access services market, yellaUmbrella provide a wide range of tools for manipulating, creating, reviewing and editing media in all formats for broadcast and general media. All services are delivered on a pay-per-use basis via the Nebula distributed micro-services platform for automated workflows and the Stellar timed text solution for manual tasks. Nebula’s micro-service architecture allows large media files or datasets to be accessed and manipulated in any location, on any platform at any time without moving the files or datasets. Stellar provides a wide range of tools to author, review and edit timed text in many forms including subtitles, captions, audio description (with associated audio), transcripts and other types of timed meta-data – all in a browser. For more information, please visit