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Translatr - Camera Translator

Translatr - Instant translation of the world around you

Translatr - Instant translation of the world around you

Translatr - Camera Translator

by Adam Gasiewski
Translatr - Camera Translator
Translatr - Camera Translator

What is it about?

Translatr - Instant translation of the world around you

Translatr - Camera Translator

App Details

Version
1.2
Rating
(7)
Size
112Mb
Genre
Reference Education
Last updated
September 29, 2017
Release date
September 19, 2017
More info

App Store Description

Translatr - Instant translation of the world around you

Translatr is an app that utilizes Apple's new Core ML API to bring the power of intelligent machine learning right into your palm.

Using these deep learning algorithms, our app can identify over 1000 different types of objects like plants, animals, food, places, vehicles, and hundreds of common household objects.

FEATURES
- Intelligent object identification and translation
- Offline- no internet connection required
- Native translation for instant results
- Great tool for learning a new language and/or traveling abroad
- 6 way translation!

English -> Spanish English ->French
Spanish -> French Spanish -> English
French-> English French -> Spanish



Translatr is a great tool for those traveling who would like to easily learn the names of many common objects in a foreign language. Just walking around a hotel room or in the streets of a foreign city while using Translatr will teach you the names for hundreds of objects around you.

Translatr is also a fantastic tool for those trying to learn a new language, like students. Using Translatr in the classroom instantly gives children a visual view of the object they're learning alongside its translation, making it easier to learn thanks to visual-spatial perception.


And unlike many other translation apps, the translation process happens natively within the app, so the results are instant, the app can always be used offline and you can be sure that the translations are always accurate.


As of now, English, Spanish, and French are the only supported languages, but our team is working on supporting many more very soon!

Disclaimer:
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