Amazon Rekognition vs Azure AI Vision comparison

Amazon Web Services (AWS) and Microsoft are both solutions in the Image Recognition Software category. Amazon Web Services (AWS) is ranked #1 with an average rating of 9.0, while Microsoft is ranked #4 with an average rating of 8.0. Amazon Web Services (AWS) holds a 17.5% mindshare in IRS, compared to Microsoft’s 7.9% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Microsoft users who would recommend it.

Amazon Rekognition

Read 1 Amazon Rekognition review

726 Views
726 Comparison Views

100% willing to recommend

Azure AI Vision

Read 1 Azure AI Vision review

284 Views
284 Comparison Views

100% willing to recommend

Amazon Rekognition

Azure AI Vision

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Rekognition

Ranking in Image Recognition Software

1st

Average Rating

9.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Azure AI Vision

Ranking in Image Recognition Software

4th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Image Recognition Software category, the mindshare of Amazon Rekognition is 17.5%, down from 24.3% compared to the previous year. The mindshare of Azure AI Vision is 7.9%, up from 7.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Image Recognition Software Mindshare Distribution
Product	Mindshare (%)
Amazon Rekognition	17.5%
Azure AI Vision	7.9%
Other	74.6%

Image Recognition Software

Featured Reviews

Lala Kallo

AWS Cloud Engineer at a consultancy with 11-50 employees

Has allowed me to detect and analyze objects in images with minimal effort

From my type of project, Amazon Rekognition was not complicated to use. From my experience, it was a very good experience and easy to use. I was able to do the things that I wanted to do easily with just a little bit of debugging, but it was smooth. I would recommend staying focused on it because it's really interesting to see how it can detect objects on images or videos. The scalability is very good for me. It's easy to integrate with other AWS services and the range of capability is for object detection. It's a really good product to use.

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MaheshBontha

Founder at PeaceWise

Facial recognition for forensics has improved investigations and supports diverse AI analytics

I have not used any pre-trained model with Azure AI Vision; we are using only a customized model. For Azure AI Vision, we wanted a complete pre-trained model. Actually, we did not find any pre-trained model for a specific domain, so we are building from scratch. I know it is difficult to build it from scratch. For example, in a legal department, we are using the Iron Legal BERT model, a pre-trained model for law. We are expecting similar pre-trained models in medical or emergency services so that we can improve. I see Med-Image-Insight, which is one application being used. It is already open, but we want to see it more in different domains as well. I want a complete pre-trained model inbuilt with Azure AI Vision so that it can help in other domains as well. Then I can directly consume the API and solve the problem. For now, we are using customized code, which may be vulnerable to security issues, and we do not have access to datasets in certain domains. If they can come up with a complete customized or complete pre-trained model, I would say ten out of ten is achievable.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"From my experience, it was a very good experience and easy to use."

"Azure AI Vision is fantastic, you can build end-to-end solutions with Azure AI, and it is easy to deploy."

Cons

"When Amazon Rekognition is detecting the picture, it's a little bit crowded."

"For Azure AI Vision, we wanted a complete pre-trained model. Actually, we did not find any pre-trained model for a specific domain, so we are building from scratch."

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Top Industries

By visitors reading reviews

University

16%

Manufacturing Company

10%

Healthcare Company

10%

Comms Service Provider

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Amazon Rekognition?

I don't know exactly how much it costs right now. Can you tell me?

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What needs improvement with Amazon Rekognition?

When Amazon Rekognition is detecting the picture, it's a little bit crowded. To make it more clear, specifying the product and detailing would help. Something that would make it easier to identify ...

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What is your primary use case for Amazon Rekognition?

I used Amazon Rekognition probably one time at the beginning of the year for a small project about picture review. I uploaded a picture to an S3 bucket and connected it with Amazon Rekognition, whi...

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What is your experience regarding pricing and costs for Azure AI Vision?

The pricing for Azure AI Vision is reasonable because I have Azure credits. I am a startup, so they are giving me credits, and I am utilizing them. They are good, actually. I am using B1 Tier credi...

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What needs improvement with Azure AI Vision?

See all answers

What is your primary use case for Azure AI Vision?

I have not utilized Azure AI Vision for quality control. I used it for facial recognition, especially in forensics applications. For real-time applications such as IoT, Azure AI Vision can be appli...

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Comparisons

Microsoft Azure Face API vs Amazon Rekognition

Compared 60% of the time

Google Cloud Vision API vs Amazon Rekognition

Compared 40% of the time

More Amazon Rekognition Competitors

Google Cloud Vision API vs Azure AI Vision

Compared 35% of the time

Microsoft Azure AI Custom Vision vs Azure AI Vision

Compared 32% of the time

Microsoft Azure Face API vs Azure AI Vision

Compared 21% of the time

Google Cloud Vision AI vs Azure AI Vision

Compared 12% of the time

More Azure AI Vision Competitors

Overview

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.

Amazon Web Services (AWS)

Azure AI Vision enhances digital systems with advanced AI capabilities, offering powerful tools for image and video analysis to support business processes intelligently.

Azure AI Vision enables businesses to leverage AI in digital and physical settings for comprehensive image and video analysis. Integrating seamlessly with Azure services, it provides highly accurate image recognition, object detection, and text extraction capabilities. Its deep learning models handle complex visual data, improving efficiency in contexts such as security, retail, and healthcare.

What are the key features of Azure AI Vision?

Image Recognition: Identifies and classifies images with precision for a variety of applications.
Object Detection: Detects specific items or people in real-time, boosting automated surveillance.
Text Extraction: Extracts text from images for processing and analysis, improving data accessibility.
Custom Vision: Allows for model customization to fit unique operational needs.

Which benefits should users seek in reviews?

Scalability: Efficient scaling to handle large volumes of data without compromising performance.
Cost-effectiveness: Reduction in manual workload, leading to significant time and cost savings.
Accuracy: High fidelity and accuracy in image and video processing.
Integration: Seamless integration with existing Azure deployments enhances functionality.

In healthcare, Azure AI Vision aids in diagnostics by analyzing medical imaging with precision. In retail, it enhances inventory management by accurately tracking product placement and movement. Security industries benefit from real-time threat detection using intelligent video surveillance, providing rapid response capabilities.

Microsoft

Sample Customers

Influential, Marinus Analytics, Aella Credit, CBS Operations and Engineering

Information Not Available

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