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TextGrabber – image to text: capture & translate este vandut la reducere in AppStore

TextGrabber – image to text: capture & translate este un utilitar foarte interesant care ne permite sa extragem text din diverse documente printate doar prin simpla scanare a lor, iar mai apoi sa il traducem folosind traducatorul integrat.

Pentru a traduce un text trebuie doar sa faceti o poza documentului din care doriti sa preluatia cel text, software-ul aplicatiei recunoscand automat cuvintele si eventual traducandu-le, dupa care rezultatul final poate fi partajat prin email sau SMS.

TextGrabber – image to text: capture & translate este compatibil cu foarte multe limbi internationale, traducerea textelor facandu-se extrem de rapid, asa cum probabil unii dintre voi si-au imaginat deja.

ABBYY TextGrabber easily and quickly scans, translates and saves your chosen text or QR-codes from virtually any printed material. Simply take a picture of the text on 60+ languages or QR-codes and immediately edit, hear it spoken aloud via VoiceOver, translate it into 100+ languages, send your text by SMS or e-mail, or share it quickly on Facebook, Twitter or Evernote.  Translation is available as a separate in-app purchase.

• Easy and accurate text or QR-codes capture from printed sources, such as books, magazines, ads, timetables, etc.
• Accurate on-device text recognition for 60+ languages, including German, French, Spanish, Portuguese, Russian, English, Chinese, Korean and others
• Instant translation into 100+ languages (Internet connection is required, separate in-app purchase)
• Powerful text-to-speech capability with the VoiceOver system feature
• Adjustable font sizes and audio prompts to assist visually impaired people
• Fast and convenient sharing via Facebook, Twitter, Evernote, email or SMS
• All extracted text is automatically backed up and can be easily found in the “History” folder

TextGrabber – image to text: capture & translate este disponibila pentru descarcare la reducere in urmatoarele zile de aici.

This post was last modified on feb. 3, 2017, 6:37 PM 18:37

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