Tesseract.js vs Tesseract OCR

Tesseract.js
Tesseract.js

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Tesseract OCR
Tesseract OCR

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Tesseract.js vs Tesseract OCR: What are the differences?

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.

What is Tesseract OCR? Tesseract Open Source OCR Engine. 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 and Tesseract OCR can be primarily classified as "Image Analysis API" tools.

Tesseract.js and Tesseract OCR are both open source tools. It seems that Tesseract OCR with 27.8K GitHub stars and 5.31K forks on GitHub has more adoption than Tesseract.js with 16K GitHub stars and 1.09K GitHub forks.

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.

What is 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.

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        What companies use Tesseract.js?
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        What are some alternatives to Tesseract.js and Tesseract OCR?
        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.
        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.
        scanR
        scanR is a simple OCR API service that supports 32 languages and can extract text from images or PDF files.
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            Taylor Host uses Tesseract OCRTesseract OCR

            Modified tesseract libraries for transform & OCR

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