An Azure video analytics service that uses AI to extract actionable insights from stored videos.
Hi Hiten Mehta,
Azure Video Indexer provides advanced voice recognition capabilities, including speaker diarization, which allows the system to detect and differentiate between individual speakers in a multi-speaker audio or video recording. These speakers are labeled (e.g., Speaker 1, Speaker 2) throughout the transcript, and with additional customization, these can be mapped to known individuals. Additionally, the transcript output includes precise timestamps, offering both word-level and phrase-level time codes, enabling accurate alignment of text with audio/video playback. This data is accessible in formats like JSON and VTT/SRT for integration and review. Furthermore, Azure Video Indexer supports emotion and sentiment detection. It analyzes facial expressions, vocal tones, and spoken words to infer emotional states such as happiness, anger, or neutrality. This sentiment analysis enhances the understanding of audience engagement and speaker intent.
For detailed documentation, you can refer to the Azure Video Indexer API documentation and the API reference.