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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. PDF24 Creator - Wikipedia

   en.wikipedia.org/wiki/PDF24_Creator

   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; Full featured and lightweight PDF reader since version 8.7.0

4. Data compression ratio - Wikipedia

   en.wikipedia.org/wiki/Data_compression_ratio

   Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:

5. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   Introduction to Compression Theory (PDF), Wiley, archived (PDF) from the original on 2007-09-28; EBU subjective listening tests on low-bitrate audio codecs; Audio Archiving Guide: Music Formats (Guide for helping a user pick out the right codec) MPEG 1&2 video compression intro (pdf format) at the Wayback Machine (archived September 28, 2007)

6. 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.

7. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   Most lossless compression programs do two things in sequence: the first step generates a statistical model for the input data, and the second step uses this model to map input data to bit sequences in such a way that "probable" (i.e. frequently encountered) data will produce shorter output than "improbable" data.