Telestream Qualify update introduces AI-powered language detection

Telestream has updated its Telestream Qualify cloud-native quality control (QC) solution. By harnessing the power of artificial intelligence (AI) and machine learning, the latest Qualify update introduces automated language detection, a feature that identifies spoken languages in media content with exceptional accuracy.

For broadcasters and streaming platforms managing content with dozens of audio tracks in multiple languages, the new language detection feature addresses one of the industry’s most challenging pain points. For decades, language identification has depended on manual QC processes that are labour-intensive, error-prone, and unsustainable for organisations scaling their global operations. Telestream’s AI-driven solution ensures precise, automated detection that reduces operational burdens and enhances content localisation workflows.

“Qualify redefines accuracy in language detection by expertly handling accents, regional dialects, and even challenging noisy audio environments,” says Ravi McArthur, technical product manager at Telestream. “Unlike traditional systems, Qualify seamlessly integrates with workflows like captioning, translation, and localisation, empowering media organisations to streamline operations on a global scale. By bridging the gap where manual or rule-based solutions fall short, we are advancing the future of efficient, high-quality content distribution.”

Telestream Qualify now automatically identifies languages, including English, Spanish, Mandarin, and dozens more. It also integrates with platforms like Vantage and media asset management systems such as Iconik, creating a robust end-to-end workflow. JSON reporting and customisable scripting capabilities further empower users to automate tasks like language detection, metadata tagging, and transcoding efficiently.

The inclusion of AI-enabled profanity detection ensures compliance with evolving content regulations and moderation standards.In addition, Dolby Atmos loudness compliance ensures that audio mixes meet specific loudness standards for consistent playback quality across different platforms and devices.

Further enhancements in the pipeline include shift and drift detection, which will identify synchronisation issues between audio, captions (subtitles), and video in media playback, and the ability to repair and resolve video and audio issues detected by Qualify.

“New technical demands and increasingly rigid deadlines make quality control processes more complex and inefficient for global media companies,” added McArthur. “Qualify streamlines workflows and increases time-to-value while still ensuring impeccable quality and compliance. Leveraging the state-of-the-art PyTorch model, our automated language detection meets the demands of a global, multilingual audience without compromising on efficiency or quality.”