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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. bzip2 - Wikipedia

   en.wikipedia.org/wiki/Bzip2

   bzip2 is a free and open-source file compression program that uses the Burrows–Wheeler algorithm.It only compresses single files and is not a file archiver.It relies on separate external utilities such as tar for tasks such as handling multiple files, and other tools for encryption, and archive splitting.

4. Download attachments in AOL Mail

   help.aol.com/articles/download-attachments-in...

   Open the email. Click Download all attachments as a zip file. - The file will be downloaded to your computer. Open the file on your computer. It will often be under "Downloads".

5. compress (software) - Wikipedia

   en.wikipedia.org/wiki/Compress_(software)

   compress is a Unix shell compression program based on the LZW compression algorithm. [1] Compared to gzip's fastest setting, compress is slightly slower at compression, slightly faster at decompression, and has a significantly lower compression ratio. [2] 1.8 MiB of memory is used to compress the Hutter Prize data, slightly more than gzip's ...

6. 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)

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.