Amazon Rekognition vs Google Cloud Vision API

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Amazon Rekognition

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Google Cloud Vision API

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Amazon Rekognition vs Google Cloud Vision API: What are the differences?

Amazon Rekognition: Image Detection and Recognition Powered by Deep Learning. Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications; Google Cloud Vision API: Understand the content of an image by encapsulating powerful machine learning models. Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.

Amazon Rekognition and Google Cloud Vision API can be primarily classified as "Image Analysis API" tools.

S.C. Galec, nurx, and intelygenz are some of the popular companies that use Google Cloud Vision API, whereas Amazon Rekognition is used by AfricanStockPhoto, Printiki, and Bunee.io. Google Cloud Vision API has a broader approval, being mentioned in 24 company stacks & 8 developers stacks; compared to Amazon Rekognition, which is listed in 7 company stacks and 3 developer stacks.

Decisions about Amazon Rekognition and Google Cloud Vision API
Vladyslav Holubiev
Software Enginieer at Shelf · | 1 upvote · 24.3K views

AWS Rekognition has an OCR feature but can recognize only up to 50 words per image, which is a deal-breaker for us. (see my tweet).

Also, we discovered fantastic speed and quality improvements in the 4.x versions of Tesseract. Meanwhile, the quality of AWS Rekognition's OCR remains to be mediocre in comparison.

We run Tesseract serverlessly in AWS Lambda via aws-lambda-tesseract library that we made open-source.

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Pros of Amazon Rekognition
Pros of Google Cloud Vision API
  • 4
    Integrate easily with AWS
  • 6
    Built by Google
  • 6
    Image Recognition

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What is Amazon Rekognition?

Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.

What is Google Cloud Vision API?

Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.

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What companies use Amazon Rekognition?
What companies use Google Cloud Vision API?
See which teams inside your own company are using Amazon Rekognition or Google Cloud Vision API.
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What are some alternatives to Amazon Rekognition and Google Cloud Vision API?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
OpenCV
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
Tesseract OCR
Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.
Tesseract.js
This library supports over 60 languages, automatic text orientation and script detection, a simple interface for reading paragraph, word, and character bounding boxes. Tesseract.js can run either in a browser and on a server with NodeJS.
EasyOCR
It is ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai.
See all alternatives