Awesome OCR -Text Scanner-

Awesome OCR -Text Scanner- [Utilities] App Description & Overview

This app extracts textual information from photos and converts them into format that can be copied and pasted with awesome accuracy.
The features of this app are
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1. Awesome recognition accuracy with Google non-public machine learning APIs.
2. Supports non-Latin languages.Not to mention Latin languages.
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1. Awesome recognition accuracy with Google non-public machine learning APIs.
This app uses non-public machine learning APIs developed by Google. You can obtain excellent result compared to the app with open source engine.

2. Supports non-Latin languages.Not to mention Latin languages.
This app supports not only English but also other languages including Spanish, Italian, French, Chinese and Japanese. Easy operation with simple interface.

Useful for document writings. 
Recommended for college students and businessmen.
Enhance your productivity with this app.

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Awesome OCR -Text Scanner- App Tips, Tricks, Cheats and Rules

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Awesome OCR -Text Scanner- Customer Service, Editor Notes:

29 Feb, 2020 add marketing URL

Awesome OCR -Text Scanner- Comments & Reviews

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Awesome OCR -Text Scanner- 1.2 Screenshots & Images

Awesome OCR -Text Scanner- iphone, ipad, apple watch and apple tv screenshot images, pictures.

Awesome OCR -Text Scanner- iphone images
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Awesome OCR -Text Scanner- iphone images
Awesome OCR -Text Scanner- ipad images
Awesome OCR -Text Scanner- ipad images
Awesome OCR -Text Scanner- ipad images
Awesome OCR -Text Scanner- Utilities application apple watch screenshots and images not ready...
Awesome OCR -Text Scanner- Utilities application apple tv screenshots and images not ready...

Awesome OCR -Text Scanner- (Version 1.2) Install & Download

The applications Awesome OCR -Text Scanner- was published in the category Utilities on 2020-02-12 and was developed by Masaya Shikishima [Developer ID: 1482540366]. This application file size is 30.75 MB. Awesome OCR -Text Scanner- - Utilities posted on 2020-03-01 current version is 1.2 and works well on IOS 13.2 and high versions.

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