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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. Sumatra PDF - Wikipedia

    en.wikipedia.org/wiki/Sumatra_PDF

    Sumatra PDF is a free and open-source document viewer that supports many document formats including: Portable Document Format (PDF), Microsoft Compiled HTML Help (CHM), DjVu, EPUB, FictionBook (FB2), MOBI, PRC, Open XML Paper Specification (OpenXPS, OXPS, XPS), and Comic Book Archive file (CB7, CBR, CBT, CBZ). [3]

  4. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    A PDF creator and virtual PDF printer for Microsoft Windows PDF-XChange: Proprietary: Yes: PDF Tools allows creation of PDFs from many types of source input (images, scans, etc.). The PDF-XChange print driver allows printing directly to a PDF. A "lite" version of the print driver is free for non-commercial (home and academic) use. PrimoPDF ...

  5. Soda PDF - Wikipedia

    en.wikipedia.org/wiki/Soda_PDF

    Soda PDF is an application used to view, create, and edit Portable Document Format (PDF) files. [3] The software was developed by LULU Software in 2010, based in Montreal, Quebec , Canada . Features

  6. Nitro Pro - Wikipedia

    en.wikipedia.org/wiki/Nitro_Pro

    Nitro Software was founded in Melbourne, Australia, by a team of three. The company developed PDF software as an alternative to Adobe Acrobat. [4] In 2015, the company had sold 1 million licenses. In 2018, it introduced the Nitro Productivity and eSigning Suite. [4] As of 2018, Nitro PDF Pro was utilized by over 650,000 businesses. [5]

  7. 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.

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