Introducing FineReader Sprint
FineReader Sprint is an optical character recognition (OCR) system. It is designed to convert scanned documents, PDF documents and image files, including digital photos, into editable file formats.
Benefits of FineReader Sprint
Fast and Highly Accurate Recognition
- The optical character recognition system used in FineReader Sprint provides fast and accurate recognition of the document while preserving as much of its original formatting as possible ( including text on a background image, colored text on colored background, text around images, etc.).
- With its Adaptive Document Recognition Technology ( ADRT®), FineReader Sprint allows you to analyze and process the entire document at once rather than page by page. This restores the original structure of the document, including its formatting, hyperlinks, e-mail addresses, as well as headers and footers, captions for pictures and diagrams, page numbers and footnotes.
- FineReader Sprint can recognize the documents written in 189 languages including Arabic, Vietnamese, Korean, Chinese, Japanese, Thai, and Hebrew.
- Another feature of FineReader Sprint is its low sensitivity to printing defects and ability to recognize the texts in virtually any font.
- The application provides a wide range of work capabilities with the recognition results — you can save the documents in different formats, send them by e-mail, and also transfer them to other applications for further processing.
Ease of Use
- FineReader Sprint has user-friendly, intuitive, and results-driven interface that makes it easy to use the application without any additional training. It takes new users almost no time at all to master the main functions.
- The application's Quick Tasks include a list of the most frequently used tasks to convert scanned documents, PDF and image files into editable formats, allowing you to get an electronic document at a click of a button.
- The application has built-in Help with examples of how to use FineReader Sprint to perform complex conversion tasks.
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