text-extraction

问题 I have used ghostscript to successfully extract text from PDFs that have tables. This simple command works very well: gswin64c -sDEVICE=txtwrite -o test.txt "c:\reports\sample.pdf" However some words get joined together especially from tables, for example: 234801111111109-12-2014 16:17:04764030208117034 2883253100.00 Payment 234801111111109-12-2014 16:18:461088956908117033 2883253400.00 Payment 234801111111109-12-2014 16:19:48769948208117040 2883253750.00 Payment should actually be:

问题 Good morning I'm trying to get a table row (TR) that must have one or more table cells (TDs): Having this string <TABLE> <TR valign="top"> <TH>First</TH> <TH>2nd</TH> <TH>3rd</TH> <TH>4th</TH> </TR> <TR valign="top"> <TD width="15%">Michael Jackson</TD> <TD width="5%">Cramberries</TD> <TD width="25%">Pixies</TD> <TD width="45%">The Ramones</TD> </TR> </TABLE> I would like to get: <TR valign="top"> <TD width="15%">Michael Jackson</TD> <TD width="5%">Cramberries</TD> <TD width="25%">Pixies</TD>

问题 Not able to extract the text from the pdf which has Customer encryption fonts, which can identify by File -> Properties -> Font in Adobe reader. One of the font is mention as, C0EX02Q0_22 Type: Type 3 Encoding: Custom Actual Font: C0EX02Q0_22 Actual Font type: Type 3 Let me know is there any way to to extract the text content from such pdf files. Currently i am using PDFText2HTML from pdf util. Get the values like 'ÁÙÅ@ÅÕãÉ' while extracting such pdf files Sample pdf: tesis completa.pdf In

问题 This question already has answers here : How do you parse and process HTML/XML in PHP? (30 answers) Closed 5 years ago . I'm doing a PHP project (using Codeigniter) on text summarization and for that I need to extract sentences from content of a Rich TextBox (this content includes tags). Therefore is there a proper method or Codeigniter library to extract sentences from a content containing HTML tags ? 回答1: A php function strip_tags() should help you. It returns string without php and html

问题 Is there any way to extract the text of a specific region using ICEpdf? I was able to extract whole pages, but that's not what I want to do. (I know PDFBox nicely extracts the text in a specific rectangular area of a page. However, since the image rendering works a lot better in ICEpdf, I'd like to use that library.) 回答1: ON the Page object that represents a page you can call the method: PageText pageText = document.getPageText(pagNumber); Similar to the bundle example ./examples/extraction

问题 I am trying to extract text from a pdf book and continue to run an issue where sections of copied text fail to retain the proper capitalization properties when pasted into a text document. I have rights to reproduce the book and also have a license to use all necessary fonts. At first I thought that the issue was caused by the fonts not being embedded, but I checked and all fonts appear to be subset embedded. Within the pdf there are over 100 fonts used which have one of the following

问题 I would like to extract some data from a text with vim.. the data is of this kind: 72" title="(168,72)" onmouseover="posizione('(168,72)');" onmouseout="posizione('(-,-)');">> 72" title="(180,72)" onmouseover="posizione('(180,72)');" onmouseout="posizione('(-,-)');">> 72" title="(192,72)" onmouseover="posizione('(192,72)');" onmouseout="posizione('(-,-)');">> 72" title="(204,72)" onmouseover="posizione('(204,72)');" onmouseout="posizione('(-,-)');">> The data I need to extract is contained in

问题 I need to extract headings and the chunk of text beneath them from a text file in Python using regular expression but I'm finding it difficult. I converted this PDF to text so that it now looks like this: So far I have been able to get all the numerical headers (12.4.5.4, 12.4.5.6, 13, 13.1, 13.1.1, 13.1.12) using the following regex: import re with open('data/single.txt', encoding='UTF-8') as file: for line in file: headings = re.findall(r'^\d+(?:\.\d+)*\.?', line) print(headings)` I just

问题 I'm using Tesseract but I don't know whether it neglects any nontext area and targets text only. Do I have to remove any nontext area as a preprocessing step for better output? 回答1: Tesseract has a pretty good algorithm to detect text, but it will eventually give false-positive matches. Ideally, you would pre-process the image before submitting it to tesseract. Some time ago I engaged in a similar task, so I suggest you take a look at the following material: OpenCV C++/Obj-C: Detecting a

问题 I'm using Tesseract but I don't know whether it neglects any nontext area and targets text only. Do I have to remove any nontext area as a preprocessing step for better output? 回答1: Tesseract has a pretty good algorithm to detect text, but it will eventually give false-positive matches. Ideally, you would pre-process the image before submitting it to tesseract. Some time ago I engaged in a similar task, so I suggest you take a look at the following material: OpenCV C++/Obj-C: Detecting a