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Download OCR Text Scanner pro Mod Apk v2.1.0 (Pro)

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APK Information

APK Version: 2.1.0
Android OS: 4.2 and up
Developer: Rishi Apps

Category: productivity
APK Size: 6.13 MB
Download on Google Play: Google Play

Mod Info

pro

Detail

OCR-Text Scanner is app to recognize the characters from an image with high (99%+) accuracy.
It turns your mobile phone to text scanner and translator.

Gave support for 92 languages (Afrikaans, Albanian, Arabic, Azeri, Basque, Belarusian, Bengali, Bulgarian, Burmese, Catalan, Chinese (Simplified), Chinese (Traditional), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kannada, Khmer, Korean, Latvian, Lithuanian, Macedonian, Malay, Malayalam, Maltese, Marathi, Nepali, Norwegian, Panjabi, Persian (Farsi), Polish, Portuguese, Romanian, Russian, Sanskrit, Serbian (Latin), Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese and more)

Features of Text Scanner:

• Extract Text On Image
• Translate text to over 100+ languages
• Copy - Text on Screen
• Crop and Enhance image before OCR.
• Edit & Share OCR result.
• Scan history.
• Recognize text from image supports 92 languages.
• Extracts phone number, email, URL .
• Batch scan text on images.
• PDF Import to recognize text on that.
• Recognizing text in Latin (English, French, Spanish, Italian, Dutch, Norwegian, German, Portuguese, etc), Chinese, Devanagari ( Hindi, Sanskrit, Marathi, Nepali), Japanese and Korean scripts are unlimited free.
• For other Language scripts upto 1000 scans free, then need to pay for more scans.

Note:

Video demo link:
https://www.youtube.com/watch?v=UHcewgkKuzs

Please send mail if you find any bugs , issues or want any feature.

Note: Handwritten text will not work.

There's a free version of this app. So one can try the free version first to make sure it works fine for your device.

https://play.google.com/store/apps/details?id=com.offline.ocr.english.image.to.text