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Photo OCR is a simple solution to extract text from any photo

Photo OCR - convert image to text documents

by Alexander Kolganov

What is it about?

Photo OCR is a simple solution to extract text from any photo. This application has unique features, making it possible to:

App Details

Version
1.4.3
Rating
(1)
Size
54Mb
Genre
Productivity Travel
Last updated
May 18, 2017
Release date
May 2, 2013
More info

App Screenshots

App Store Description

Photo OCR is a simple solution to extract text from any photo. This application has unique features, making it possible to:
1. convert images into text formats: txt, pdf and html;
2. detect phone number, address, e-mail and web link in recognized text.

Features:
- Recognizes more than 50 languages (see list below), and even multilingual text.
- No Internet connection required for recognition processing.
- Recognizes documents of any size, from business cards to A4 paper.
- View recognized text in 4 views: txt, html, pdf, translate (pdf and html looks like the original image).
- Select a specific part of the image to recognize.
- Google online translator (an Internet connection is required).
- Save recognized & translated texts.
- Share recognized text via Facebook, Twitter, email or SMS.
- Open txt,pdf, or html recognition file via third-party software on your device: Dropbox, SkyDrive, Evernote, iBooks, etc.
- Call, find an address on map, send email and goto web link with one click, due to automatic URL recognition in html view.

Languages recognized:
Africaans, Albanian, Ancient Greek, Arabic, Azeirbaijani, Basque, Belarusian, Bengali, Bulgarian, Catalan, Cherokee, Chinese(Simplified), Chinese(Traditional), Croatian, Czech, Danish, Deutsch, Dutch, English, Esperanto, Estonian, Finish, French, Frankish, Galician, Greek, Hebrew, Hindi, Hungarian, Indonesian, Icelandic, Italian, Japanese, Kannada, Korean, Latvian, Lithuanian, Malayalam, Macedonian, Maltese, Malay, Norwegian, Polish, Portugal, Romanian, Russia, Serbian, Slovacian, Slovenian, Spanish, Swahili, Sweden, Tagalog, Tamil, Telugu, Thai, Turkish, Ukrainian, Vietnamese

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