Software Alternatives & Reviews

IMG.LY VS Amazon Rekognition

Compare IMG.LY VS Amazon Rekognition and see what are their differences

IMG.LY logo IMG.LY

Power Your Apps with IMG.LY | The Leading Provider of Design, Photo, and Video Editing SDKs

Amazon Rekognition logo Amazon Rekognition

Add Amazon's advanced image analysis to your applications.
  • IMG.LY Landing page
    Landing page //
    2023-04-18

IMG.LY offers a range of SDKs for design, photo, and video editing, powerful visual content creation tools that seamlessly integrate into applications across different industries and use cases. IMG.LY SDK is the perfect fit for print, Digital Asset Management, Marketing Tech, and social media sectors, to name a few.

  • Amazon Rekognition Landing page
    Landing page //
    2023-04-18

IMG.LY videos

PhotoEditor SDK - HTML5 SDK - v5

Amazon Rekognition videos

AWS Rekognition Tutorial | Image Recognition using AWS | Amazon Rekognition | AWS Training | Edureka

More videos:

  • Review - Extract Data from Images and Videos with Amazon Rekognition (Level 300)
  • Demo - Can Amazon's Facial Recognition identify my 15 years younger picture? | Amazon Rekognition Demo

Category Popularity

0-100% (relative to IMG.LY and Amazon Rekognition)
Design Tools
100 100%
0% 0
Image Analysis
0 0%
100% 100
Photos & Graphics
100 100%
0% 0
Machine Learning
0 0%
100% 100

User comments

Share your experience with using IMG.LY and Amazon Rekognition. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare IMG.LY and Amazon Rekognition

IMG.LY Reviews

We have no reviews of IMG.LY yet.
Be the first one to post

Amazon Rekognition Reviews

2019 Examples to Compare OCR Services: Amazon Textract/Rekognition vs Google Vision vs Microsoft Cognitive Services
Pricing: Amazon Rekognition, Amazon Textract, Google, Microsoft. We don't really care which one you use, but Microsoft did best by our sample data. Textract was a very close second if you only need its headline feature: extracting text from digital documents. If someone wants to email bill -at- amplenote.com with comparable data for other images/services, I can try to...

Social recommendations and mentions

Based on our record, Amazon Rekognition seems to be a lot more popular than IMG.LY. While we know about 33 links to Amazon Rekognition, we've tracked only 2 mentions of IMG.LY. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

IMG.LY mentions (2)

  • Anyone using WASM in their Job?
    We are using it currently at spline.design, we handle almost all geometry calculations there. And we were using WASM in my previous company img.ly the CreativeEditorSDK is basically everything on wasm, even the text editing and so. Was a very cool project to work on. Source: about 2 years ago
  • EnTT v3.9.0 is out: Gaming meets Modern C++
    Special thanks to the Microsoft Mojang Studios for the opportunity they gave me, as well as img.ly for actively supporting the development of EnTT. Source: over 2 years ago

Amazon Rekognition mentions (33)

  • Afraid of outgrowing AWS Rekognition? Try YOLO in Lambda.
    AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / about 1 month ago
  • Amazon Rekognition Custom Labels for Bears
    I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 9 months ago
  • “During a gold rush, sell shovels.” What are the shovels in the AI rush?
    For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 10 months ago
  • Serverless Facial Recognition Voting Application Using AWS Services
    Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / 12 months ago
  • Amazon Prime Video playback features
    Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago
View more

What are some alternatives?

When comparing IMG.LY and Amazon Rekognition, you can also consider the following products

Polarr Photo Editor 3 - The most powerful photo editor in the web.

Clarifai - The World's AI

ClippingMagic.com - Remove image backgrounds online. Make backgrounds transparent, white, etc. Edit, crop, rotate, fix colors, add shadows, all you need for great photos!

Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.

Icons8 Background Remover - Quickly remove the background from any photo

OpenCV - OpenCV is the world's biggest computer vision library