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Azure Video Indexer extracts rich insights from video content, including topics, brands, faces, emotions, and spoken keywords. This helps platforms build deep, structured metadata to improve search, moderation, and content understanding across video libraries.
When integrated, Azure Video Indexer analyzes video content to generate advanced metadata such as topics, detected entities, faces, emotions, and spoken keywords. These insights can be used to enhance discovery, moderation, compliance, and AI-driven content workflows within the Muvi platform.
How to Use This Integration
Works With

HeyGen enables the creation of presenter-led and avatar-based videos directly from scripts, helping teams produce explainer videos, training content, and personalized messages quickly. This allows video content creation to scale without relying on on-camera recording or manual production workflows.

ElevenLabs enables natural-sounding AI voice generation for videos, allowing platforms to add narration, dubbing, and multilingual audio tracks without manual recording. This helps scale voiceovers, announcements, and localized audio experiences efficiently across video content.

AWS Translate enables automatic language translation for video transcripts and metadata, helping platforms localize content and reach global audiences. By supporting multi-language text, Muvi makes content discovery and engagement accessible across regions and languages.

Ultralytics YOLO enables real-time object detection across video frames, allowing Muvi to identify and label visual elements at scale. This helps platforms automate content classification, enable visual search, and perform AI-driven safety and compliance checks across large video libraries.