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Amazon Rekognition alternatives: Azure, Google Cloud and open source

Rekognition looks at an image and tells you what is in it.

The first service to reach for when the input is a picture and nobody on the team does machine learning.

  • From my own projects
  • Sources linked
  • Updated September 2026

The same job on four platforms

The same task, a different bill and a different console. The layer does not change.

AWS

Amazon Rekognition[1]

Rekognition looks at an image and tells you what is in it.

AWS documentation →[2]

Microsoft Azure

Azure AI Vision[3]

Official documentation →

Google Cloud

Cloud Vision API[4]

Official documentation →

Open source / run it yourself

YOLO from Ultralytics[5]

Open detection models you run on your own GPU. Licensed AGPL-3.0, with an enterprise licence for closed products.

OpenCV[6]

The classic open-source computer vision library, Apache 2.0. Useful for the frame handling around the model.

What Amazon Rekognition does

You sendAn image, or one frame taken out of a video
Amazon Rekognition

Rekognition looks at an image and tells you what is in it.

You get backLabels, each with a confidence value
What it costsPer image and per video analysed. Nothing runs between requests, so an idle month costs nothing.
Who operates itAWS. You never see a model version unless you go looking for one.
When it is the wrong choiceWhen your objects are not in anybody's public label set.

AWS calls it: “Automate and lower the cost of your image recognition and video analysis with ML”[1]

How I use it

In my video pipeline it labels one frame every two seconds, for about 7 cents a clip.

How I built an AI film crew on AWS →All AWS services in my projects →
Linda Mohamed

Linda Mohamed, AI and cloud consultant and AWS Community Hero in Vienna. I build these pipelines for clients and teach them at FH Burgenland.

Read more on ai-solutions.wiki

My open knowledge base, with longer comparisons and more sources.

Questions

What is the Azure equivalent of Amazon Rekognition?

Azure AI Vision.

What is the Google Cloud equivalent of Amazon Rekognition?

Cloud Vision API.

What is the open-source alternative to Amazon Rekognition?

YOLO from Ultralytics: Open detection models you run on your own GPU. Licensed AGPL-3.0, with an enterprise licence for closed products. OpenCV: The classic open-source computer vision library, Apache 2.0. Useful for the frame handling around the model.

How is Amazon Rekognition billed?

Per image and per video analysed. Nothing runs between requests, so an idle month costs nothing.

When should you not use Amazon Rekognition?

When your objects are not in anybody's public label set.

Sources

  1. Amazon Rekognition product page. https://aws.amazon.com/rekognition/
  2. Amazon Rekognition documentation. https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html
  3. Azure AI Vision documentation. https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview
  4. Cloud Vision API documentation. https://cloud.google.com/vision/docs
  5. YOLO from Ultralytics. https://docs.ultralytics.com/
  6. OpenCV. https://github.com/opencv/opencv
  7. Amazon Rekognition: Image and Video Analysis, ai-solutions.wiki. https://ai-solutions.wiki/tools/amazon-rekognition/
  8. Azure Computer Vision: AI-Powered Image and Video Analysis, ai-solutions.wiki. https://ai-solutions.wiki/tools/azure-computer-vision/
  9. YOLO (Ultralytics), ai-solutions.wiki. https://ai-solutions.wiki/tools/yolo/
  10. Pre-Built AI Services vs Foundation Models: When a Narrow API Beats an LLM, ai-solutions.wiki. https://ai-solutions.wiki/comparisons/prebuilt-ai-services-vs-foundation-models/
  11. Linda Mohamed, course slides “The projects”, MASE-3, FH Burgenland, September 2026.

Links checked September 2026. Product names and availability change: check the linked pages before you decide.

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