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2. 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

3. PDF24 Creator - Wikipedia

   en.wikipedia.org/wiki/PDF24_Creator

   Integrated preview for PDF editing; PDF encryption, decryption and signing; Change PDF information (author, title, etc.) Compress and shrink PDF files; Add a watermark or stamp a PDF file; Combine pages with a digital paper; Convert to and from PDF; Multiple PDF printers for different purposes since 7.7.0

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. Brotli - Wikipedia

   en.wikipedia.org/wiki/Brotli

   Brotli's new file format allows its authors to improve upon Deflate by several algorithmic and format-level improvements: the use of context models for literals and copy distances, describing copy distances through past distances, use of move-to-front queue in entropy code selection, joint-entropy coding of literal and copy lengths, the use of graph algorithms in block splitting, and a larger ...

6. PDF - Wikipedia

   en.wikipedia.org/wiki/PDF

   A PDF file may be encrypted, for security, in which case a password is needed to view or edit the contents. PDF 2.0 defines 256-bit AES encryption as the standard for PDF 2.0 files. The PDF Reference also defines ways that third parties can define their own encryption systems for PDF.

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. This process condenses extensive ...