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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.
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.
Pros of Amazon Rekognition
- Integrate easily with AWS4
Pros of Google Cloud Vision API
- Image Recognition8
- Built by Google7
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Cons of Amazon Rekognition