---
title: "Video indexer detail page"
slug: "video-indexer-detail-page-1522606"
abstract: "Overview of the Insights and Timeline tabs in the video indexer detail page of a video asset."
---
# Video indexer detail page

The Microsoft Azure Video Indexer details page of a video asset contains two tabs: **Insights** and **Timeline**.

## Insights

On the **Insights** tab, you can see all the metadata extracted from the video.

The following table describes the types of metadata that the video AI analysis can extract from a video.

| Metadata | Description |
| --- | --- |
| People | List of people identified in the video, a timeline of their appearance, and a percentage of their presence. Azure Video Indexer detects and groups faces; detects, groups, and identifies animated characters; detects and identifies celebrities with a brief biography; automatically extracts the best images for thumbnails of the faces caught. |
| Keywords | Keywords mentioned in each segment of the video. |
| Topics | Main topics of the video, sorted by category. |
| Labels | Tags describing identified objects (for example, cat, table, car, or ball) with a timeline of when they appear in the video. |
| Language | The language identified in the video. |
| Emotions | List of emotions detected in speech expressions, vocal signals, and facial expressions. |
| Sentiments | Azure Video Indexer compares levels of positive and negative sentiments throughout the audio and video, displaying where these sentiments appear in a clickable timeline. |
| Scenes | The video, segmented by semantic scenes. |
| Keyframes | List of detected stable keyframes. |

## Timeline

The **Timeline** tab splits the video using audio analysis. An automated transcription feature converts the speech into text on a timeline. It also identifies speakers, maps them, and prints their corresponding spoken words on the timeline.