You as a human can read the page, but your program won’t produce any output.Unsupported / unreadable characters pop up, like here: ”The �ase �lass fo� P�MuPDF’s linkDest, …”.Not the right (“natural” / expected) reading order.If you ever have worked with any text extraction tool, you probably will have encountered at least one of the following pesky situations: In your script, you can dynamically determine whether OCR-ing of the full document page, or just some part of it is required, then invoke Tesseract and process its output together with with the “regular” text. provides integrated support of Tesseract’s OCR machine.We are not aware of any package - freeware or commercial - that can offer this. is not restricted to PDF documents - in contrast to other packages, but its API works in exactly the same way for all supported document types - apart from PDF these include XPS, EPUB, HTML and more.text extraction - like all of its features - is known for its top performance and exceptional rendering quality.supports many (if not most) of MuPDF’s functions - text extraction is just one among of dozens of its other features.has its homepage on Github and can be installed from PyPI.is a Python programming library, which provides convenient access to the C library MuPDF, also owned and maintained by Artifex under the same license models.It is available under an open source, freeware license (GNU AGPL 3.0) as well as a commercial license. ![]() is a product owned and maintained by Artifex. ![]() We will cover what differentiates PyMuPDF from other approaches and will show you first steps to get going. So why should you even bother to look at PyMuPDF? There are many packages and products in the open source and the commercial market, which support text extraction from PDF documents in one way or another. PyMuPDF: Just another text extraction package? ![]() Text Extraction with PyMuPDF By Harald Lieder - Wednesday, JText Extraction Using PyMuPDF
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