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Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...
It can convert scanned images to text under program control, using its built-in OCR engine. The MODI object model is accessible from development tools that support the Component Object Model (COM) by using a reference to the Microsoft Office Document Imaging 11.0 Type Library.
OCRFeeder can import data from PDF or graphic files. From 0.7.1a version it supports grabbing images directly from the scanner device. [11] The results can be saved in HTML, OpenDocument, plain text [16] or PDF [17] file formats. hOCR file output is also planned. [3] Initial formatting can be done directly in the program.
The file size of a scan can go up to about 100 MB for a 600 dpi, 23 × 28 cm (slightly larger than A4 paper) uncompressed 24-bit image. Scanned files must be transferred and stored. Scanners can generate this volume of data in a matter of seconds, making a fast connection desirable.
- Your computer's file manager will open. Find and select the file or image you'd like to attach. Click Open. The file or image will be attached below the body of the email. If you'd like to insert an image directly into the body of an email, check out the steps in the "Insert images into an email" section of this article.
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Download all attachments in a single zip file, or download individual attachments. While this is often a seamless process, you should also be aware of how to troubleshoot common errors. Emails with attachments can be identified with Attachment icon in the message preview from the inbox.
[1] [2] The image of the written text may be sensed "off line" from a piece of paper by optical scanning (optical character recognition) or intelligent word recognition. Alternatively, the movements of the pen tip may be sensed "on line", for example by a pen-based computer screen surface, a generally easier task as there are more clues available.
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