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Desktop handwriting recognition
PenReader is multilingual Desktop handwriting recognition software which enables handwriting text input by using pen tablet or standard mouse in full screen mode. User can write text in natural style.
Whether you write printed-like, letter-by-letter or cursive text, single or multi-line, diagonally, in any part of the screen, it does not matter, PenReader will recognize it! It brings handwriting interaction with your computer on the new level of comfort and effectiveness.
PenReader doesn’t require any training or adjustment for a particular handwriting – it’s ready to work right after installation on your Desktop computer!
PenReader main features:
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Extended national support. Fast and exact recognition of 30 languages: Albanian, Arabic, Bulgarian, Catalan, Croatian, Czech, Danish, English, Estonian, French, Finnish, German, Greek, Hebrew, Hungarian, Icelandic, Italian, Latvian, Lithuanian, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swedish and Turkish symbols. Any other language from Latin or Cyrillic group could be added shortly! |
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Full-screen recognition allows user to write in any part of the screen. |
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Top-quality handwriting recognition engine constantly recognizes letters, numbers, Arabic numbers, standard, arithmetic and punctuation symbols - plus several gestures that fully duplicate main keyboard functions (shift, backspace etc). |
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Customizable handwriting style helps to recognize text more accurate and faster, just choose a convenient way of writing various symbols in "Copy-book" menu item. |
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Inclination angle automatic detection, which helps when text is written not horizontally, e.g. diagonally. |
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Pre-defined dictionary could be used during recognition. It offers user to choose word which he has written from expandable list. User can even create and update his own dictionary. |
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Comprehensive AI of recognition engine evaluates user's handwriting style during usage, which improves results over time. |
Minimum system requirements
CPU: >200MHz
Disk space: 4-8 MB
Memory: ~2.5 MB
These requirements are enough for fluent recognition of printed-like text.
See also
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