Quickstart: How to sign up and upload your first video
Due to the Azure Media Services retirement announcement, Azure Video Indexer announces Azure AI Video Indexer features adjustments. See Changes related to Azure Media Service (AMS) retirement to understand what this means for your Azure Video Indexer account.
Face identification, customization and celebrity recognition features access is limited based on eligibility and usage criteria in order to support our Responsible AI principles. Face identification, customization and celebrity recognition features are only available to Microsoft managed customers and partners. Use the Face Recognition intake form to apply for access.
You can access Azure AI Video Indexer capabilities in three ways:
- The Azure AI Video Indexer website: An easy-to-use solution that lets you evaluate the product, manage the account, and customize models (as described in this article).
- API integration: All of Azure AI Video Indexer's capabilities are available through a REST API, which lets you integrate the solution into your apps and infrastructure. To get started, see Use Azure AI Video Indexer REST API.
- Embeddable widget: Lets you embed the Azure AI Video Indexer insights, player, and editor experiences into your app. For more information, see Embed visual widgets in your application.
Once you start using Azure AI Video Indexer, all your stored data and uploaded content are encrypted at rest with a Microsoft managed key.
This quickstart shows you how to sign in to the Azure AI Video Indexer website and how to upload your first video.
When you visit the Azure AI Video Indexer website for the first time, a trial account is automatically created for you. With the trial account, you get some free indexing minutes. You can later add a paid account. With the paid option, you pay for indexed minutes. For details about available accounts (trial and paid options), see Azure AI Video Indexer account types.
Sign up and upload a video
The following list shows the supported browsers that you can use for the Azure AI Video Indexer website and for your apps that embed the widgets. The list also shows the minimum supported browser version:
- Edge, version: 16
- Firefox, version: 54
- Chrome, version: 58
- Safari, version: 11
- Opera, version: 44
- Opera Mobile, version: 59
- Android Browser, version: 81
- Samsung Browser, version: 7
- Chrome for Android, version: 87
- Firefox for Android, version: 83
Supported file formats for Azure AI Video Indexer
See the input container/file formats article for a list of file formats that you can use with Azure AI Video Indexer.
Sign in on the Azure AI Video Indexer website.
To upload a video, press the Upload button or link.
The name of the video must be no greater than 80 characters.
Once your video has been uploaded, Azure AI Video Indexer starts indexing and analyzing the video. As a result a JSON output with insights is produced.
You see the progress.
The produced JSON output contains
SummarizedInsightselements. We highly recommend using
Insightsand not using
SummarizedInsights(which is present for backward compatibility).
Once Azure AI Video Indexer is done analyzing, you'll get an email with a link to your video and a short description of what was found in your video. For example: people, spoken and written words, topics, and named entities.
You can later find your video in the library list and perform different operations. For example: search, reindex, edit.
After you upload and index a video, you can continue using Azure AI Video Indexer website or Azure AI Video Indexer API developer portal to see the insights of the video (see Examine the Azure AI Video Indexer output).
Start using insights
For more details, see Upload and index videos and check out other How to guides.
To embed widgets, see Embed visual widgets in your application.
For the API integration, see Use Azure AI Video Indexer REST API.
Check out our introduction lab.
At the end of the workshop, you'll have a good understanding of the kind of information that can be extracted from video and audio content, you'll be more prepared to identify opportunities related to content intelligence, pitch video AI on Azure, and demo several scenarios on Azure AI Video Indexer.