IMG to HTML OCR Converter Command Line

What is OCR (Optical Character Recognition)?
Optical Character Recognition (OCR) is a visual recognition process that turns printed or written text into an electronic character-based file. A document that is scanned and converted into a PDF document provides the basis for which character recognition software may interpret each character image on the PDF and assign it an electronic character-based file that can then be entered into an editable format, such as a Text or Word document.

Given the proliferation of scan-to-PDF technology available today, VeryPDF's OCR solutions focus on the conversion of scanned PDF documents and image files. The quality of the OCR conversion process will largely depend on the quality of the scanned image and the clarity of the characters of that image.

VeryPDF's IMG to HTML OCR Converter is a Command Line application uses Optical Character Recognition technology to OCR scanned PDF documents and images (TIFF, BMP, PNG, JPG, PCX, TGA, etc.) to HTML files.

The default package of IMG to HTML OCR Converter Command Line includes support for only English. However you can download more OCR language packs at here.

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Features of IMG to HTML OCR Converter Command Line

Options of IMG to HTML OCR Converter Command Line

See Also:
What is OCR? What is OCR? OCR Technology
PDF to Text Converter: Convert PDF files to plain text files.
PDF to Vector Converter: Convert PDF files to PS, EPS, WMF, EMF, XPS, PCL, HPGL, SWF, SVG, etc. vector files.
PDF to Excel OCR Converter: Convert PDF to Microsoft Excel by useing Optical Character Recognition technology to recognize the text in scanned image PDF and then save the text to Excel sheets.
DocConverter COM Component (+HTML2PDF.exe): Convert HTML, DOC, RTF, XLS, PPT, TXT etc. files to PDF files, it is depend on PDFcamp Printer product.
Image to PDF OCR Converter: Recognize text of scanned images and save them into PDF files.
HTML Converter: Convert HTML files to TIF, TIFF, JPG, JPEG, GIF, PNG, BMP, PCX, TGA, JP2 (JPEG2000), PNM, etc. formats.
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