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2. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   Printing system can render any document to a PDF file, thus any Linux program with print capability can produce PDF files Pdftk: GPLv2: No Yes Yes Command-line tools to merge, split, en-/decrypt, watermark/stamp and manipulate PDF document files. Front end to an older version of the iText library. poppler: GNU GPL: Yes Yes

3. List of archive formats - Wikipedia

   en.wikipedia.org/wiki/List_of_archive_formats

   The replacement for the .sit format that supports more compression methods, UNIX file permissions, long file names, very large files, more encryption options, data specific compressors (JPEG, Zip, PDF, 24-bit image, MP3). The free StuffIt Expander is available for Windows and OS X. .sqx SQX: Windows: Windows: Yes A royalty-free compressing format

4. Smallpdf.com - Wikipedia

   en.wikipedia.org/wiki/Smallpdf.com

   Smallpdf is a Swiss online web-based PDF software, founded in 2013. [2] It offers free version with limited features to compress, convert and edit PDF documents. [3] And its paid version offers advanced features like OCR, compress, and more. [4]

5. Image file format - Wikipedia

   en.wikipedia.org/wiki/Image_file_format

   JPEG XL is a royalty-free raster-graphics file format that supports both lossy and lossless compression. It supports reversible recompression of existing JPEG files, as well as high-precision HDR (up to 32-bit floating point values per pixel component). It is designed to be usable for both delivery and authoring use cases.

6. 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. This process condenses extensive ...

7. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   While data reduction (compression, be it lossy or lossless) is a main goal of transform coding, it also allows other goals: one may represent data more accurately for the original amount of space [5] – for example, in principle, if one starts with an analog or high-resolution digital master, an MP3 file of a given size should provide a better ...