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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. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [citation needed] So if we know nothing about the properties of the data ...

4. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   Modular PDF software. Solid Converter PDF: Proprietary: Yes Yes Yes PDF to Word, Excel, HTML and Text; supports passwords, text editing, and batch conversion. SWFTools: GNU GPL: Yes Yes Yes Yes SWF conversion and manipulation suite containing a standalone PDF to SWF converter along with a Python gfx API (requires Xpdf).

5. Wikipedia : Graphics Lab/Resources/PDF conversion to SVG

   en.wikipedia.org/.../Resources/PDF_conversion_to_SVG

   To convert a pdf: Convert the first page of a PDF file with pdf2svg file.pdf file.svg. To extract all pages of a multiple-page PDF use pdf2svg file.pdf output-%02d.svg all. This generates output files output-00.svg, output-01.svg, etc. where the pattern "%02d" is replaced by the respective two-digit page numbers.

6. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.

7. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   Basic information theory says that there is an absolute limit in reducing the size of this data. When data is compressed, its entropy increases, and it cannot increase indefinitely. For example, a compressed ZIP file is smaller than its original, but repeatedly compressing the same file will not reduce the size to nothing. Most compression ...