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Amazon Rekognition

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Last updated on

Company health

Employee growth
12% increase in the last year
Web traffic
3% decrease in the last quarter

Ratings

G2
4.3/5
(28)
Glassdoor
3.7/5
(206324)

Amazon Rekognition description

Amazon Rekognition is an image and video analysis tool that's part of Amazon Web Services (AWS). Businesses use it to automatically identify objects, people, text, and scenes within images and videos. It can also detect inappropriate content. This makes it useful for companies looking to automate tasks like image tagging, facial recognition, or content moderation.


Who is Amazon Rekognition best for

Amazon Rekognition is a powerful image and video analysis tool ideal for businesses of all sizes. Users praise its accurate image recognition and easy integration with other AWS services. Some users have noted occasional inaccuracies and complex JSON output. It's highly versatile, supporting facial recognition, object detection, and text recognition.

  • Ideal for businesses of all sizes seeking automated image and video analysis.

  • Suitable for companies across various industries needing image and video analysis capabilities.


Amazon Rekognition features

Supported

Amazon Rekognition analyzes images to identify a range of elements, including objects, scenes, faces, text, celebrities, and activities.

Supported

Amazon Rekognition can recognize text within images and documents, enabling automated data extraction and improved accessibility for visually impaired users.

Supported

Amazon Rekognition supports both real-time and stored video analysis for various applications.

Supported

Amazon Rekognition can detect and analyze faces in images and videos, useful for user verification, public safety, and other applications.

Supported

Amazon Rekognition identifies people, objects, and scenes in images and videos to automate tasks such as content moderation and enhance search capabilities.

Supported

Amazon Rekognition allows you to build custom image recognition models tailored to specific business requirements using your own labeled data.


Amazon Rekognition reviews

We've summarised 28 Amazon Rekognition reviews (Amazon Rekognition G2 reviews) and summarised the main points below.

Pros of Amazon Rekognition
  • Highly accurate image recognition with few false positives.
  • Easy to use API and seamless integration with other AWS services.
  • Intuitive dashboard.
  • Robust performance in image and video analysis.
  • Versatile, supporting various functionalities like facial recognition, object detection, and text recognition.
Cons of Amazon Rekognition
  • Privacy concerns, especially regarding facial recognition.
  • JSON output can be complex and difficult to interpret.
  • Occasional inaccuracies in object recognition.
  • Limited ability to identify specific objects within broader categories (e.g., water bottle vs. soda bottle).
  • Can be expensive at scale.

Amazon Rekognition pricing

The commentary is based on 4 reviews from Amazon Rekognition G2 reviews.

Amazon Rekognition's pricing is generally considered high, especially for smaller projects or limited use cases. While users appreciate its powerful image and video analysis features, further price reductions would make it more accessible. Some users find the cost worthwhile due to its advanced capabilities and time-saving automation.

Users sentiment

Strongly negative
-1

See the Amazon Rekognition pricing page.


Amazon Rekognition alternatives

  • Logo of CloudSight API
    CloudSight API
    Instantly understand images and videos with detailed AI descriptions.
    Read more
  • Logo of Google Cloud AutoML Vision
    Google Cloud AutoML Vision
    Custom image recognition models, no coding needed.
    Read more
  • Logo of Google Cloud Vision API
    Google Cloud Vision API
    Unlock image insights: objects, faces, text, emotions.
    Read more
  • Logo of Luxand FaceSDK
    Luxand FaceSDK
    Fast, accurate face recognition for apps and websites.
    Read more
  • Logo of Render
    Render
    Effortless cloud hosting and deployments for websites and apps.
    Read more
  • Logo of Discovery
    Discovery
    AI-powered product analytics for data-driven decisions and growth.
    Read more

Amazon Rekognition FAQ

  • What is Amazon Rekognition and what does Amazon Rekognition do?

    Amazon Rekognition is a powerful image and video analysis service from AWS. It uses AI to identify objects, people, text, and scenes, enabling automated tasks like content moderation and image tagging. It's highly accurate and easily integrates with other AWS services, making it versatile for various business needs.

  • How does Amazon Rekognition integrate with other tools?

    Amazon Rekognition seamlessly integrates with other AWS services, simplifying workflows. Its API facilitates integration with various applications, and custom labels can enhance specific business needs. This allows for a flexible and scalable solution for image and video analysis within the AWS ecosystem.

  • What the main competitors of Amazon Rekognition?

    Top alternatives to Amazon Rekognition include Google Cloud Vision API, Google Cloud AutoML Vision, and CloudSight API. These competitors offer similar image and video analysis capabilities, including object detection, text recognition, and facial recognition.

  • Is Amazon Rekognition legit?

    Yes, Amazon Rekognition is a legitimate and widely used image and video analysis service provided by AWS. It's known for accurate image recognition and easy integration with other AWS services. However, some users have raised privacy concerns, particularly regarding facial recognition.

  • How much does Amazon Rekognition cost?

    Amazon Rekognition pricing is a pay-as-you-go service. The cost depends on the API used and the amount of data processed. Contact AWS sales for detailed pricing information.

  • Is Amazon Rekognition customer service good?

    Amazon Rekognition's customer service receives positive feedback for its 24/7 availability and easy integration. While some users mention privacy concerns related to facial recognition technology, the reviews generally indicate satisfaction with the service.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.