Join the 1500 companies using G2 Track to manage SaaS spend, usage, contracts & compliance.

Azure Video Indexer


Azure Video Indexer enables customers with digital video and audio content to automatically extract metadata and use it to build intelligent innovative applications.

Work for Azure Video Indexer?

Learning about Azure Video Indexer?

We can help you find the solution that fits you best.

Azure Video Indexer Reviews

Chat with a G2 Advisor
Write a Review
Filter Reviews
Filter Reviews
Company Size
Showing 1 Azure Video Indexer review
LinkedIn Connections
Azure Video Indexer review by alfredo p.
alfredo p.
Validated Reviewer
Review Source

"Powerful AI"

What do you like best?

The best thing about video indexer is the AI, is so powerful, can be used to detect, text, audio, faces, brands, and more. There is a trial time which can be used to test the AI but only with outlook/live email. You can integrated it to your app very easy with few steps. there are also regular updates with new changes, features, another good thing about Azure video indexer is, pay only for what you use, this help to make more scalable the projects, because i can control the total investment.

What do you dislike?

Azure Video Indexer is a relative new tool, thats mean still in developtment so there are regions where the performance is very good, and others few regions where the performance can be a bit slow. But with the support of Microsoft this tool which will be one of the most important AI tool in the future.

Recommendations to others considering the product

You will need to know how to use JSON very well to use this tool, the trial time will let you only upload 100 videos a day, that is more than enough to test so use it. If is this tool what do you need, go for it you wont be regret, also you can find on the website a very explicative guide about how to use each API, and their new features.

What business problems are you solving with the product? What benefits have you realized?

I'm using video indexer since v1, they do a impresive updates, and are always working on improvements, this tool helped me to make videos app on very easy way, the AI is so helpful, you can add subtitles to videos, show relevant videos to users, taking adventage of Video indexer because it search using the AI thats mean it will search faces, words, audio, and not only the titles or descriptions, also help to protect the app from unwanted videos.

Sign in to G2 to see what your connections have to say about Azure Video Indexer

What Image Recognition solution do you use?

Thanks for letting us know!

There are not enough reviews of Azure Video Indexer for G2 to provide buying insight. Below are some alternatives with more reviews:

Microsoft Computer Vision API Logo
Microsoft Computer Vision API
Microsoft Computer Vision API is a cloud-based API tool that provides developers with access to advanced algorithms for processing images and returning informatio, by uploading an image or specifying an image URL, it analyze visual content in different ways based on inputs and user choices.
OpenCV Logo
OpenCV is a tool that has has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android for computational efficiency and with a strong focus on real-time applications, written in optimized C/C++, the library can take advantage of multi-core processing and enabled to take advantage of the hardware acceleration of the underlying heterogeneous compute platform
Amazon Rekognition Logo
Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications. It can identify the objects, people, text, scenes, and activities, or any inappropriate content from an image or video.
Google Cloud Vision API Logo
Google Cloud Vision API
Google Cloud Vision API is a tool that enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API, it quickly classifies images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detects individual objects and faces within images, and finds and reads printed words contained within images user can build metadata on image catalog, moderate offensive content, or enable new marketing scenarios through image sentiment analysis.
IBM Watson Visual Recognition Logo
IBM Watson Visual Recognition
IBM Watson Visual Recognition is a tool that allow users to automatically identify subjects and objects contained within the image and organize and classify these images into logical categories.
Microsoft Video API Logo
Microsoft Video API
Microsoft Video API is a cloud-based API that provides advanced algorithms for tracking faces, detecting motion, stabilizing and creating thumbnails from video, it allows user to build more personalized and intelligent apps by understanding and automatically transforming video content.
Deepdream Logo
And this is where Google's deep dream ideas originate. With simple words you give to an AI program a couple of images and let it know what those images contain ( what objects - dogs, cats, mountains, bicycles, ... ) and give it a random image and ask it what objects it can find in this image.
Clarifai Logo
The hub of Clarifai’s technology is a high performance deep learning API on which a new generation of intelligent applications is being built. It enables Clarifai to combat everyday problems with high tech solutions by providing the most powerful machine learning systems to everyone in new and innovative ways.
scikit-image Logo
scikit-image is a collection of algorithms for image processing.
Azure Custom Vision Service Logo
Azure Custom Vision Service
Azure Custom Vision Service is a tool for building custom image classifiers, and for making them better over time. This service enables you to identify your own objects and things in images.
Show more
Kate from G2

Learning about Azure Video Indexer?

I can help.
* We monitor all Azure Video Indexer reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. Validated reviews require the user to submit a screenshot of the product containing their user ID, in order to verify a user is an actual user of the product.