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Amazon Rekognition

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Tesseract.js

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Amazon Rekognition vs Tesseract.js: What are the differences?

What is 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.

What is Tesseract.js? Pure JavaScript OCR for 60 Languages. 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.

Amazon Rekognition and Tesseract.js belong to "Image Analysis API" category of the tech stack.

Tesseract.js is an open source tool with 16K GitHub stars and 1.09K GitHub forks. Here's a link to Tesseract.js's open source repository on GitHub.

Decisions about Amazon Rekognition and Tesseract.js

Vladyslav Holubiev

Sr. Directory of Technology at Shelf · Oct 25, 2019 | 1 upvote · 43K views

Chose

over

(

)

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 Tesseract.js

4
Integrate easily with AWS

2
Graph Recognization

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Cons of Amazon Rekognition

Cons of Tesseract.js

1
AWS

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- No public GitHub repository available -

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 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.

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What companies use Amazon Rekognition?

What companies use Tesseract.js?

See which teams inside your own company are using Amazon Rekognition or Tesseract.js.

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What are some alternatives to Amazon Rekognition and Tesseract.js?

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.

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.

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.

libpng

It is the official Portable Network Graphics (PNG) reference library. It is a platform-independent library that contains C functions for handling PNG images. It supports almost all of PNG's features, is extensible, and has been widely used and tested.

See all alternatives

Amazon Rekognition vs Tesseract.js

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Pros of Amazon Rekognition

Pros of Tesseract.js

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Cons of Amazon Rekognition

Cons of Tesseract.js

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What is Amazon Rekognition?

What is Tesseract.js?

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What companies use Amazon Rekognition?

What companies use Tesseract.js?

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