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Compare Amazon Rekognition vs Azure Face API

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Overview

Description

Amazon Rekognition is a simple and easy way to add powerful image recognition capabilities to apps. Amazon Rekognition detects objects, scenes, faces, and products in images and video, user ... Read More

Azure Face API is an image recognition service that makes it easy to build applications that recognise faces, and detect emotions on people's faces. Azure Face API uses a deep neural ... Read More

Entry Level Pricing
  • Starts from $0.10
  • Starts from $1
Free Trial Availability
  • No free trial
  • No free trial
Spotsaas Score

9.1/10

8.2/10

User Ratings

4.4

(47)
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Software Demo

Demo

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Features

Total Features

10 Features

4 Features

Unique Features
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      Pricing

      Pricing Option
          Starting From
          • $0.10
          • $1
          Pricing Pans
          • Not Available
          • Not Available
          Pricing Pageamazon-rekognition pricingazure-face-api pricing

          Other Details

          Organization Types supported
          • Medium Business
          • Small Business
          • Large Enterprises
          • Individuals
          • Freelancers
          • Medium Business
          • Small Business
          • Large Enterprises
          • Individuals
          • Freelancers
          Platforms Supported
          • Mobile - iOS
          • Mobile - Android
          • Browser Based (Cloud)
          • Installed - Mac
          • Installed - Windows
          • Browser Based (Cloud)
          • Mobile - iOS
          • Mobile - Android
          • Browser Based (Cloud)
          • Installed - Mac
          • Installed - Windows
          • Browser Based (Cloud)
          Modes of support
          • 24/7 (Live rep)
          • Business Hours
          • Online
          • 24/7 (Live rep)
          • Business Hours
          • Online
          API Support
          • Available
          • Available
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          User Reviews

          User Ratings
          Rating Distribution

          Excellent

          20

          Very Good

          6

          Good

          0

          Poor

          1

          Terible

          0

          Excellent

          3

          Very Good

          7

          Good

          1

          Poor

          0

          Terible

          0

          Expert's Review generated by AI

          Amazon Rekognition stands out for its robust image and video analysis capabilities. Users appreciate its accurate identification of objects, scenes, and faces, empowering them with advanced ...Read more

          Azure Face API has received generally positive feedback from users in the past 12 months. Users appreciate its efficient AI tools, easy integration, and cost-effectiveness. The API's ability to ...Read more

          Pros and Cons
          • Efficient in accurately identifying objects, scenes, faces, and activities in images and videos, enabling powerful content analysis and search functionalities.

          • Integration with other AWS services and ease of use through APIs, making it an efficient tool for developers and businesses.

          • Versatile and valuable in analyzing and identifying various elements in images and videos.

          • Straightforward to use, provides video analytics output visually, and offers easy implementation.

          • Easy to integrate with projects, particularly useful for facial recognition and user login.

          • The richness of features and customizations might be overwhelming and complex for newcomers without adequate support or guidance.

          • Limited selection in the Marketplace for additional apps and connectors may restrict advanced functionalities and integrations.

          • Easy integration and efficient for developers.

          • Clear documentation and ease of use for integrating into applications.

          • Useful for facial recognition technology without requiring extensive knowledge.

          • Good accuracy in recognizing faces and emotions, especially for people with darker complexions.

          • Some users find the interface confusing, especially for beginners.

          • Limited capabilities for identifying faces in specific conditions like low-quality images or different angles.

          • Age estimation feature can be inaccurate.

          Positive Reviews

          No reviews available for the product

          No reviews available for the product

          Integrations

          Integration with other apps

          No Integration information available.

          No Integration information available.

          Customers

          Customers
          CBS

          CBS

          National Geographic

          National Geographic

          Smugmug

          Smugmug

          Uber

          Uber

          Prism Skylabs

          Prism Skylabs

          Pic Collage

          Pic Collage

          Media and Screenshots

          Screenshots
          Detect analyze faces

          3 Screenshots

          No screenshots available.

          Videos
          video-0

          2 Videos

          video-0

          1 Videos

          Frequently Asked Questions (FAQs)

          Stuck on something? We're here to help with all the questions and answers in one place.

          Neither Amazon Rekognition nor Azure Face API offers a free trial.

          Amazon Rekognition is designed for Large Enterprises, Medium Business and Small Business.

          Azure Face API is designed for Large Enterprises, Medium Business and Small Business.

          Pricing for Amazon Rekognition Starts at $0.10 whereas for Azure Face API Starts at $1.

          Some top alternatives to Amazon Rekognition includes Microsoft Computer Vision API, Azure Custom Vision Service, Azure Face API, Clarifai, Vize.ai, MobileEngine, Recognize.im, FaceX and SentiSight.ai.

          Some top alternatives to Azure Face API includes Amazon Rekognition, Azure Custom Vision Service, Clarifai, Vize.ai, FaceX, SentiSight.ai and Facest.

          Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].