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When a searchable PDF cannot be created for an image of a document scanned with the ScanSnap, check the following. Optical Character Recognition (OCR) Function of ABBYY FineReader for ScanSnap can perform text recognition only for PDF files created by using the ScanSnap. Documents with complex layouts containing a mixture of diagrams, tables. By using ABBYY FineReader for ScanSnap, you can convert a scanned image to Only the images in the PDF format of documents scanned with the ScanSnap can be For details, refer to OCR Function of ABBYY FineReader for ScanSnap.

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ABBYY FineReader for ScanSnap is an application used exclusively with the ScanSnap. This section describes the features of and the notes for the function to convert the text information in an image with ABBYY FineReader for ScanSnap. The OCR function of ABBYY FineReader for. This section explains the functions of each software and how to install it. Scanned images can be saved as PDF or JPEG files to a computer. the scanned images using OCR (Optical Character Recognition) to convert the image data into. Even if the images in a PDF format are created by scanning documents with the ScanSnap, the PDF files cannot be converted into searchable ones if the.

For details, refer to To Display the Main Window. In the content data record list view , select a content data record that you want to convert into searchable one. If you convert multiple content data records into searchable ones, select the content data records while holding down the [Ctrl] key or [Shift] key. Select [Convert to searchable content data record] in the menu that appears when you right-click the selected content data record. HINT The items in the menu are disabled in the following cases: When multiple content data records of different document types are selected When a content data record whose document type is [Photos] is selected When you select a language for text recognition in the message window and convert an image into a searchable PDF file, select the [Embed text information in a PDF file] checkbox.

OCR Function of ABBYY FineReader for ScanSnap

Watching Jakarta join the Information Age. And doing my bit!

Thursday, February 28, How to hack Scansnap Organizer to use any PDF documents To avoid clutter, I scan everything: bank statements, business cards, brochures, receipts, anything. Then I OCR them convert the image into text , store them in the cloud, share them in all my computing devices, and, in my laptop, heavily index them so I can find anything I ever touch, or so the idea.

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This work horse scanner can scan double-sided up to 50 page per minute. And for someone who scan just about everything, this is a must. Don't try it unless you can afford to fall in love with it, its dangerously convenient.

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And since I convince a lot of people to send documents to me already in PDF from various scanners, camera, etc. This is annoying.

Optical Character Recognition (OCR) Function of ABBYY FineReader for ScanSnap

Step 1. The resultant file size is much smaller.

After I have done all my tweaking, optimizing, page shuffling etc in this folder I save it as a "reduced size pdf" directly into my EN import folder. Therefore, it is my EN import folder which contains the final version of the pdf and not the "PDF holding" folder which is simply a transitional station. I generally delete most of the files that are there but I back up the files in the import folder.

Software for the ScanSnap

You do something similar to me. I first scan all my documents to a folder I call "ScanSnap Temp".

I manually rename every file using an intuitive naming scheme that looks something like this: date - tag - tag - tag The "tag" is really a key word or key words. The date is in this format "yyyy. My OCR is automatically set to do the following: 1. Optimize each PDF, including reduce file size 3.

That's right, I currently keep a separate copy of the PDF in this folder on my hard drive. At some point, I plan to delete this folder and to keep only my data in EN. For now, this is a safety measure until I resolve all issues, etc. I'm also a very young EN user, as I started about seven weeks ago.

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Though, I did go premium after my first month.