![text is highlighted in word text is highlighted in word](https://www.howtogeek.com/wp-content/uploads/2015/03/00_lead_image_highlights_in_document.png)
I'm going to use the Tesseract OCR engine and library, and its Python wrapper PyTesseract for text extraction. Some may remember the effort of Google to digitize every book on the planet and make it available via their Google Books search, or Project Guttenberg which digitizes and provides public domain books. to index this text in a database and access it via a search engine. Optical Character Recognition (OCR) is a process to extract written or printed text from a document - such as an image - and to convert it into digital text that can be used for further processing, e.g. However, I'm going to focus on explaining the concepts behind the implementation as these are transferable to other technologies.
#Text is highlighted in word code
I added some code snippets to each section, but mainly as reference for those of us that prefer to read code over words. Finally, these two sections are merged to extract only the text that lies within the outlines of a highlighted area and is therefore highlighted text.
![text is highlighted in word text is highlighted in word](https://dragonspeechtips.com/wp-content/uploads/2020/07/highlighting-and-extracting-highlighted-text-in-ms-word.jpg)
Second, to find the outlines of the yellow highlighted areas. First, to extract all the text on a book page, regardless of whether it is highlighted or not. The structure of this post resembles the path I followed when I was working on this problem and its implementation. I'm not familiar with any of the technologies used, so the real goal was to learn and have fun.īefore we begin, I would like to briefly explain the basic structure of this post and a few words about the technologies involved. Rather than using his work, I took on the challenge of rebuilding the algorithm and implementing it myself. Fortunately, he didn't share much code, and the web application is no longer live. But then how do you find this particular piece of information again? I was inspired by this article by Shaham in which he described a digital highlighter that recognizes and extracts highlighted text on a book page. Of course, you can highlight certain paragraphs and take a picture of that page to save it in your notes' app of choice. However, taking notes and creating bookmarks with a paper book is quite tedious. I enjoy the haptic feedback of reading a book and the visual progress you see each time you turn a page as the remaining part of the book diminishes more and more. Even though I prefer the digital equivalent in almost every other aspect of life, when it comes to reading, I almost always prefer paper books to e-books, PDFs, or other electronic media. Highlight = True: Set curDoc = Documents.Open(filePath, Visible:=True)Ĭ = ""Ĭ'm old fashioned when it comes to reading. My most recent iteration looks like this, and seems to affect the entire document and adds the specified text at the beginning of the doc rather than replacing the highlight that is supposedly found with. I was first trying to iterate paragraph by paragraph, but that got tedious. I'm using VBA and have tried a number of variations of find.
![text is highlighted in word text is highlighted in word](https://images.tips.net/S01/Figs/T105F1.png)
Phasellus rhoncus magna ac pharetra aliquam." I want to find every instance of a highlighted text, and essentially add a label to it and remove the highlight, like: "Lorem ipsum amet, consectetur adipiscing elit. Sed eu tempus mauris, sit amet ultricies massa. There are a few portions of text that have a text highlight, for example, if the bolded text had a highlight: "Lorem ipsum dolor sit amet, consectetur adipiscing elit.
#Text is highlighted in word pdf
I have a large document that has been converted from a pdf and I am trying to do some cleanup on it.