Zip speed compression

To meet maximum size constrains i. Evaluate need for using high compression formats and settings Highest compression ratio is usually attained with slower and more computing intensive algorithms, i. See file compression formats comparison and compression benchmarks for comparison of strongest compression algorithms, and impact on speed and compression ratio adperformances of different file archiving formats.

Different data types may lead to different results with different data compression algorithms, in example weaker RAR and ZIPX compression can close the gap with stronger 7Z compression when multimedia files compression is involved, due to efficiently optimized filters for multimedia files employed in RAR and ZIPX when suitable data structures are detected - anyway lossy compressed multimedia files remains poorly compressible data structures. Switching to a more powerful algorithm is usually more efficient in terms of improving compression ratio than using highest compression ratios of a weaker compression algorithm.

It is suggested to evaluate carefully if better compression is really needed after deduplication, and evaluation of poorly compressible files , or if the archive is mainly made for other reasons than decreasing file size i. If time is a critical factor, speed should be the primary factor to take in account, and fastest available algoritms should be preferred, as zlib's Deflate GZip, ZIP, Zopfli , Brotli, or Zstandard. Identify poorly compressible files Evaluate if spending time to compress poorly compressible data or, rather, simply store it "as is".

Some data structures contain high levels of entropy, or entropy is introduced by previous processes as encryption or compression - making further compression efforts difficult or even useless; computing power wold be more productively spent reducing size occupation of other types of files, leading to both better results and faster operation. Some document formats PDF, Open Office and new Microsoft Office and beyond file formats , and some databases, are already compressed usually fast deflate based lossless compression , so they generally does not compress well.

Encrypted data is not compressible at all , being pseudo random there is not a "shorter way" to represent the information carried in encrypted form; attempting compression of encrypted files is not recommended. Separating poorly compressible data from other data is a good way to start a compression policy definition to decide the best strategy for handling both the types of data.

JPEG images are inherently hard to compress because their format already incorporates a simple but effective compression scheme. At a high-level, Jpeg compression works by first undoing the lossless compression entropy encoding within JPEG images and then recompressing them with a better algorithm.

When the image is uncompressed, the reverse happens—the Jpeg compression algorithm is undone and the original JPEG entropy encoding is reapplied. WAV audio files.

For these files it will generally produce better compression than other compression methods supported by WinZip. The MP3 compression is designed to compress MP3 audio files. For these files, it will generally produce better compression than other compression methods supported by WinZip. All Rights Reserved. Terms of Use Privacy Cookies. Uninstall Instructions. Using the WinZip Ribbon Interface In the WinZip Ribbon Interface, you will need to select the appropriate compression method to use prior to beginning the zipping process.

WinRar, ZIP normal. WinRar, ZIP fastest. PeaZip, 7Z Zstandard normal. PeaZip, 7Z Brotli normal. Releases Feed. PeaZip Wiki. LZMA compression algorithm is very suitable for embedded applications. This algorithm uses cipher key with length of bits. To create that key 7-Zip uses derivation function based on SHA hash algorithm.