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2. Solid Converter PDF - Wikipedia

   en.wikipedia.org/wiki/Solid_Converter_PDF

   Solid Converter PDF is document reconstruction software from Solid Documents which converts PDF files to editable formats. Originally released for the Microsoft Windows operating system, a Mac OS X version was released in 2010. The current versions are Solid Converter PDF 9.0 for Windows and Solid PDF to Word for Mac 2.1.

3. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   deskUNPDF: PDF converter to convert PDFs to Word (.doc, docx), Excel (.xls), (.csv), (.txt), more; GSview: File:Convert menu item converts any sequence of PDF pages to a sequence of images in many formats from bit to tiffpack with resolutions from 72 to 204 × 98 (open source software) Google Chrome: convert HTML to PDF using Print > Save as PDF.

4. Universal Document Converter - Wikipedia

   en.wikipedia.org/wiki/Universal_Document_Converter

   Universal Document Converter is a virtual printer and PDF creator for Microsoft Windows developed by fCoder Group. It can create PDF documents (as raster images or searchable text) and files in graphic formats JPEG, TIFF, PNG, GIF, PCX, DCX and BMP. [3] It can create graphic or PDF files from any document that can be printed.

5. Hypertext Application Language - Wikipedia

   en.wikipedia.org/wiki/Hypertext_Application_Language

   Hypertext Application Language (HAL) is a convention for defining hypermedia such as links to external resources within JSON or XML code. It is documented in an Internet Draft (a "work in progress"), with the latest version 11 published the 10th of October 2023.

6. hOCR - Wikipedia

   en.wikipedia.org/wiki/Hocr

   hOCR is an open standard of data representation for formatted text obtained from optical character recognition (OCR). The definition encodes text, style, layout information, recognition confidence metrics and other information using Extensible Markup Language (XML) in the form of Hypertext Markup Language (HTML) or XHTML.

7. JSON - Wikipedia

   en.wikipedia.org/wiki/JSON

   MongoDB uses JSON-like data for its document-oriented database. Some relational databases, such as PostgreSQL and MySQL, have added support for native JSON data types. This allows developers to store JSON data directly in a relational database without having to convert it to another data format.