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  2. Optical character recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_character_recognition

    Learn about the history, applications, and techniques of optical character recognition (OCR), the conversion of images of text into machine-encoded text. OCR can be used for data entry, document digitization, text mining, and assistive technology.

  3. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a natural language processing technique that learns vector representations of words based on their contexts in a large corpus. It uses two model architectures: Continuous Bag-Of-Words and continuous skip-gram, and has applications in semantic similarity, text generation, and machine translation.

  4. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    Learn about different types of image file formats, such as JPEG, PNG, GIF, and how they are compressed, stored, and used. Compare raster and vector formats, and see examples of common graphic file formats.

  5. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    A comprehensive list of software used to manage Portable Document Format (PDF) documents, with links to articles on each software. The list covers creators, viewers, editors, converters, development libraries and other categories of PDF software.

  6. Data conversion - Wikipedia

    en.wikipedia.org/wiki/Data_conversion

    Data conversion is the conversion of computer data from one format to another, such as text, image, audio, or office file formats. Learn about the basics, pivotal conversion, and the challenges of data conversion, such as loss and inexactness of information.

  7. JPEG - Wikipedia

    en.wikipedia.org/wiki/JPEG

    JPEG stands for Joint Photographic Experts Group, the name of the committee that created the JPEG standard in 1992. JPEG is a widely used method of compressing digital images, particularly for digital photography, with adjustable tradeoff between storage size and image quality.

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