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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

    Some features of the software include, but are not limited to: [5] [6] Merge multiple PDF into one file; Rotating, extracting, inserting pages; 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 ...

  4. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    JPXDecode, a lossy or lossless filter based on the JPEG 2000 standard, introduced in PDF 1.5. Normally all image content in a PDF is embedded in the file. But PDF allows image data to be stored in external files by the use of external streams or Alternate Images. Standardized subsets of PDF, including PDF/A and PDF/X, prohibit these features.

  5. 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".

  6. 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:

  7. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    An alternative view can show compression algorithms implicitly map strings into implicit feature space vectors, and compression-based similarity measures compute similarity within these feature spaces. For each compressor C(.) we define an associated vector space ℵ, such that C(.) maps an input string x, corresponding to the vector norm ||~x||.

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