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2. Smallpdf.com - Wikipedia

   en.wikipedia.org/wiki/Smallpdf.com

   Smallpdf.com. Smallpdf is a Swiss online web-based PDF software, founded in 2013. [2] It offers free services to compress, convert and edit PDF documents.

3. Solid PDF Tools - Wikipedia

   en.wikipedia.org/wiki/Solid_PDF_Tools

   Solid PDF Tools is a document reconstruction software product which allows users to convert PDFs into editable documents and create PDFs from a variety of file sources. The same technology used in the software's Solid Framework SDK is licensed by Adobe for Acrobat X [2]

4. File size - Wikipedia

   en.wikipedia.org/wiki/File_size

   File size is a measure of how much data a computer file contains or, alternately, how much storage it consumes. Typically, file size is expressed in units of measurement based on the byte . By convention, file size units use either a metric prefix (as in megabyte and gigabyte ) or a binary prefix (as in mebibyte and gibibyte ).

5. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content. The different versions of the photo of the cat on ...

6. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. [1] By contrast, lossy compression permits reconstruction only of an approximation of ...

7. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.