When searching for the best book scanning software, your choices might seem limited at first.

You might think that you need a special book scanner software to scan pages, or that you might have compatibility issues between your device and other software available on the market.

What if we told you that there is a better way to approach this. In fact, we will propose a solution that does not require special scanner compatibility and you don’t even have to install it on your pc. Just upload your batches and process them accordingly.

Do I really need a book scanner software?

Just as with most devices today, a book scanner is useless without good software. We will focus a bit more today on batch image processing rather than the operating software of a scanner.

Most software for such devices is developed with scanner control in mind and not in delivering the highest image scan quality on the market. Probably because manufacturers are more concerned about delivering functional equipment and concentrate less on the output quality. That is usually a scanning provider issue and only when working in actual scanning projects you start focusing on these aspects.

Another thing is the optical character recognition, OCR as some call it. This is a special tool that takes the image and applies a text recognition procedure, in which it detects automatically the characters, numbers and also other symbols that are present on that page.

So the answer is yes, you definitely need an alternative book scanning software, as providers don’t always tailor the software to your specific needs. Also, the file format that will be outputted can suffer with standard software.

Features a good book scanning software should have

Most book scanning solutions or devices built for cultural heritage digitization feature a high quality capturing unit. These machines won’t scan pages as quickly as an automatic document feeder scanner would, but they can achieve book digitization at a superior scan quality.

A good software enhances the quality of the scanning, achieving results that are closer to your original documents, sometimes even improving them.

Some of the features that should be included are the following:

  1. Smart Cropping, Deskew, and Edge Cleaning – These features are the starting point for your image processing. They will take a scanned page, adjust the size accordingly, straighten the image and correct the edges.
  2. Background Cleaning, White Balance and Special Text – Now we get more advanced. Background cleaning homogenizes the background and adjusts it to a constant level over the entire surface. White balance will try and adjust color levels in an unbalanced image. The special text feature will sharpen the text without affecting the images on your page.
  3. Color, Grayscale and Bitonal Conversion – Even if it might sound simple, converting images from color to grayscale or bitonal requires a bit of work. You have to make sure you have adjusted levels accordingly, or the end result might be disastrous. And the performance of your OCR software will also be affected.
  4. Other special features regarding resolution, page size and fitting the content in a new page in case of reprinting and also outputting the correct file format.

Smart Cropping

The smart or automatic cropping feature searches for specific points in your images and cuts the image to reproduce the original document size. It can be used for overhead scanners and flatbed scanners alike.

It does not matter what kind of document scan. Paper documents, books, magazines, even office paper can be handled with this feature.

Some OCR technology will have this feature enabled and it will do it in the background, during the text recognition process.

Deskew and Edge Cleaning

Depending on the scan mode you are using, you might have this feature on or off. Sometimes for nondestructive scanning, you will adjust the book and the end results will come out misaligned.

To correct this in both a document and book, the procedure will search for patterns in the image to detect the correct alignment of the text. Based on that, it will apply a correction.

When the angle is not a very acute one, it will also correct the margins automatically, if in the correct scan mode. It enhances the quality overall, but it also improves the optical character recognition OCR.

 

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