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2. 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]

3. List of archive formats - Wikipedia

   en.wikipedia.org/wiki/List_of_archive_formats

   The compression algorithm is a modified LZSS, with an adaptive Huffman coding. .genozip application/ vnd.genozip: genozip: Linux, macOS, Windows Genozip, a compressor for genomic file formats such as FASTQ, BAM, VCF and others. [4].gz application/ gzip [5] gzip: Unix-like GNU Zip, the primary compression format used by Unix-like systems.

4. Group 4 compression - Wikipedia

   en.wikipedia.org/wiki/Group_4_compression

   Group 4 compression is available in many proprietary image file formats as well as standardized formats such as TIFF, CALS, CIT (Intergraph Raster Type 24) and the PDF document format. G4 offers a small improvement over G3-2D by removing the end-of-line (EOL) codes.

5. PDF - Wikipedia

   en.wikipedia.org/wiki/PDF

   PDF's emphasis on preserving the visual appearance of documents across different software and hardware platforms poses challenges to the conversion of PDF documents to other file formats and the targeted extraction of information, such as text, images, tables, bibliographic information, and document metadata. Numerous tools and source code ...

6. KGB Archiver - Wikipedia

   en.wikipedia.org/wiki/KGB_Archiver

   Written in Visual C++ by Tomasz Pawlak, KGB Archiver is designed to achieve a very high compression ratio. It has ten levels of compression, from very weak to maximum. However, at higher compression levels, the time required to compress a file increases significantly. [3] As a consequence, the program uses memory and CPU intensively.

7. Data compression ratio - Wikipedia

   en.wikipedia.org/wiki/Data_compression_ratio

   Lossless compression of digitized data such as video, digitized film, and audio preserves all the information, but it does not generally achieve compression ratio much better than 2:1 because of the intrinsic entropy of the data. Compression algorithms which provide higher ratios either incur very large overheads or work only for specific data ...