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2. hOCR - Wikipedia

   en.wikipedia.org/wiki/Hocr

   The hOCR format is most commonly used in order to make searchable PDF files or as an extracted metadata of the PDF file. In order to create searchable PDF files we can use a scanned document image and a .hocr file of the particular image. We can use the following open source tools in order to achieve that.

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. ABBYY FineReader - Wikipedia

   en.wikipedia.org/wiki/ABBYY_FineReader

   ABBYY FineReader PDF is an optical character recognition (OCR) application developed by ABBYY. [2] [3] First released in 1993, the program runs on Microsoft Windows (Windows 7 or later) and Apple macOS (10.12 Sierra or later). Since v15, the Windows version can also edit PDF files. [2]

5. OCRFeeder - Wikipedia

   en.wikipedia.org/wiki/OCRFeeder

   OCRFeeder can import data from PDF or graphic files. From 0.7.1a version it supports grabbing images directly from the scanner device. [11] The results can be saved in HTML, OpenDocument, plain text [16] or PDF [17] file formats. hOCR file output is also planned. [3] Initial formatting can be done directly in the program.

6. 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.

7. Comparison of optical character recognition software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_optical...

   A 2016 analysis of the accuracy and reliability of the OCR packages Google Docs OCR, Tesseract, ABBYY FineReader, and Transym, employing a dataset including 1227 images from 15 different categories concluded Google Docs OCR and ABBYY to be performing better than others. [22]