Organizing paper files can get really cumbersome if you work in one of those firms that choose to stay outdated. Equally annoying are those digital files when you scan all the paper in your office, if you work at a paper less firm. You might save tons of space and time if you decide to scan all the paper in your office into a more comfortable avatar. However, due to memory limitations, you might have issues storing all these scanned files into your hard disk. The only solution is to use scanned paper compression software to minimize the disk space consumed by each of these files. Scanned paper compression is an ideal option if you are unable to upload your PDF file as a mail attachment or onto your website.
If you are a master of PDF files, you wouldnt have taken long to figure out that your PDF files are worthless without being equipped with OCR technology. Of course, a text searchable PDF will take up more space compared to a regular PDF file. Scanned paper compression will reduce the effect of OCR on the file sizes of the PDF files. Without changing the essential details, scanned paper compression software manages to reduce the size of a file to nearly 10% of its original size. This ratio is quite impressive, considering simultaneous scanned paper compression of a thousand files can be performed within no time.
There are essentially two algorithms used by scanned paper compression software. They are: Lossy and Lossless. Lossy compression is mainly used for image files. They usually reduce the quality and level of detail of image files by controlling the color scales and by using more of gray scales. Though the scanned paper compression of images through lossy compression has a compressibility factor of more than 50%, the change in quality is barely noticed by the user. This works wonderfully for files with a lot of high quality images in it. Lossless compression can be done for textual matter as any loss in information in a PDF file does not go appreciated in most cases. Thus, there is hardly any loss of detail in lossless compression, hence reducing its compressibility ratio.