What is Azure AI Video Indexer?
Azure AI Video Indexer is an AI service that automatically analyzes videos and makes them searchable. The service extracts transcripts, recognizes faces and objects, identifies topics and emotions, and makes video content discoverable through metadata.
Core Features
- Audio Transcription: Creates timestamped subtitles in over 50 languages
- Face Recognition: Identifies people and groups appearances throughout the video
- OCR: Reads text in video like presentation slides or overlays
- Object Detection: Detects objects, scenes, and visual concepts
- Topic Extraction: Identifies topics based on speech and visual content
- Sentiment Analysis: Detects emotions in speech and facial expressions
Typical Use Cases
Media Archive Management: Broadcasters and production companies make archives searchable. Editors find scenes via transcript, people, or visual content in seconds instead of hours.
E-Learning and Training: Companies automatically analyze training videos. Chapter markers, transcripts, and topic tags are extracted for better navigation and accessibility.
Marketing and Social Media: Teams analyze video performance through insights. Which products are visible? Which emotions dominate? Video Indexer delivers structured data for reporting.
Benefits
- All AI functions combined in one service
- Web portal for manual analysis and API for automation
- Custom Models for industry-specific recognition
- Export of insights in JSON, VTT, and other formats
Integration with innFactory
As a Microsoft Solutions Partner, innFactory supports you with Azure AI Video Indexer: We implement media libraries with intelligent search, automate content workflows, and integrate video insights into your marketing analytics.
Typical Use Cases
Frequently Asked Questions
What does Azure AI Video Indexer detect in videos?
The service extracts transcripts, identifies speakers, recognizes faces and celebrities, reads text in frames (OCR), detects objects, scenes, emotions, and topics.
Can I train custom faces or brands?
Yes, Custom Models allow training for people, brands, and languages. The service then recognizes your specific faces or terms in videos.
Which languages does transcription support?
Video Indexer supports transcription in over 50 languages. Speech recognition is based on Azure AI Speech and delivers timestamped subtitles.
How long does video analysis take?
Processing depends on video length and selected insights. Typically, analysis takes about half the video runtime.
Can Video Indexer process live streams?
No, Video Indexer analyzes pre-recorded videos. For live analysis, Azure Media Services and Azure AI Services can be combined.
