EOCR Offline (Offline English Dictionary and Camera Recognition) app for iPhone and iPad

[EOCR OFFLINE] is finally available for iOS! EOCR OFFLINE is a fully offline English Dictionary with offline camera recognition (OCR) functionality!

OCR (or optical character recognition) ability means that the app can read characters taken with your phone camera.
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Going for a holiday in an English-speaking country but not a native speaker? Bring EOCR OFFLINE with you to translate menus, signboards and what not, WITHOUT THE NEED FOR A MOBILE DATA PLAN!

Simply take a photo of the text and press "translate"! Or use it as a normal dictionary to convey messages to locals.

Learning English for school or work? Use EOCR OFFLINE to help you with your studies and day-to-day life (OCR all the letters!). Use EOCR OFFLINE to translate difficult texts you come across. It will be your handy translation tool.

FEATURES:

Dictionary function:
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- OFFLINE - use it in the plane even!
- OVER 100,000 word entries
- FAST SEARCH - made possible by FTS4 SQL search
- EXTENSIVE SEARCH - search English phrases or compound words and they will be broken up into parts automatically.
- SIMPLE SWIPE to change the search setting - no more tiny checkboxes!

Interface and Design:
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- SIMPLE AND CLEAN - search quickly without the need for flipping through menus
- NO NETWORK REQUIRED - full privacy and, of course, no ads
- SELF-CONTAINED APP - in-built dictionary and OCR training files; no requirements to install other apps.

Optical Character Recognition (OCR) function:
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- OFFLINE OCR - What more can we say? Its like a pocket scanner!
- MORE ACCURATE than web-based OCR methods
- NO DATA COSTS - web-based OCRs may send entire images which are large files.
- SCAN ENTIRE PARAGRAPHS and edit the text later to search the lines you are interested in.


Points to note:
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- The app requires you to have about 50MB of free space on your Phone memory
- OCR functionality works best when used on printed characters with a plain background
- Performance of OCR and extensive search depends on the length of text being analysed