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 labor-intensive, error-prone, and unsustainable for organizations scaling their global operations. Telestream's AI-driven solution shifts the paradigm, ensuring precise, automated detection that reduces operational burdens and enhances content localization workflows.

Key Enhancements
Telestream Qualify offers the following new features:

• Advanced AI for automated language detection: Automatically identifies languages, including English, Spanish, Mandarin, and dozens more. This ensures accuracy even with complex situations involving accents, regional dialects, and noisy audio environments. The automation eliminates manual errors and accelerates global distribution pipelines.
• Seamless integration: Qualify seamlessly integrates with platforms like Vantage and media asset management systems such as Iconik, creating a robust end-to-end workflow. JSON reporting and customizable scripting capabilities also empower users to automate tasks like language detection, metadata tagging, and transcoding efficiently.
• Comprehensive QC: Telestream continues to set a high bar with extensive QC tests, ranging from general validations like duration and bitrate checks to advanced video and audio analysis. The inclusion of AI-enabled profanity detection ensures compliance with evolving content regulations and moderation standards.
• Dolby Atmos loudness compliance: Ensures that audio mixes meet specific loudness standards for consistent playback quality across different platforms and devices.
• COMING SOON - Shift and drift detection: Identifies synchronization issues between audio, captions (subtitles), and video in media playback.
• COMING SOON - Qualify Correction: Repair and resolve video and audio issues detected by Qualify.

From Hello to Hola: Why Automated Language Detection Matters
Global media platforms are tasked with managing extensive multilingual content libraries, often involving audio tracks in numerous languages. Manual operations not only drain resources but also risk errors, such as incorrect language tagging, which can create significant operational challenges. For example, during manual QC, codes like “SP” are often misused to represent Spanish instead of the correct ISO 639 standards "ES." Such errors can impact content accessibility and viewer satisfaction.

Telestream's language detection minimizes risks by automating the identification and tagging of languages. This ensures:

• Accuracy across vocal nuances, dialects, and mixed-language content.
• Speed in analyzing large-scale media libraries, reducing operational timelines.
• Cost Efficiency by eliminating the reliance on manual processes.
• Scalability to support large global platforms with complex workflows.