Took Sergio’s answer and made some extension methods. I also changed the accumulation of strings into an iterator. public static class PdfSharpExtensions { public static IEnumerable<string> ExtractText(this PdfPage page) { var content = ContentReader.ReadContent(page); var text = content.ExtractText(); return text; } public static IEnumerable<string> ExtractText(this CObject cObject) { if (cObject is COperator) { var cOperator … Read more
If you restrict yourself to ASCII letters, then use (with the re.I option set) \b[a-z]+\b \b is a word boundary anchor, matching only at the start and end of alphanumeric “words”. So \b[a-z]+\b matches pie, but not pie21 or 21pie. To also allow other non-ASCII letters, you can use something like this: \b[^\W\d_]+\b which also … Read more
Take a look at this bounding box technique demonstrated with OpenCV code: Input: Eroded: Result:
You can USE PyPDF2 package # install PyPDF2 pip install PyPDF2 Once you have it installed: # importing all the required modules import PyPDF2 # creating a pdf reader object reader = PyPDF2.PdfReader(‘example.pdf’) # print the number of pages in pdf file print(len(reader.pages)) # print the text of the first page print(reader.pages[0].extract_text()) Follow the documentation.
$str=”152.15 x 12.34 x 11mm”; preg_match_all(‘!\d+(?:\.\d+)?!’, $str, $matches); $floats = array_map(‘floatval’, $matches[0]); print_r($floats); The (?:…) regular expression construction is what’s called a non-capturing group. What that means is that chunk isn’t separately returned in part of the $mathces array. This isn’t strictly necessary in this case but is a useful construction to know. Note: calling … Read more
jsoup Another html parser I really liked using was jsoup. You could get all the <p> elements in 2 lines of code. Document doc = Jsoup.connect(“http://en.wikipedia.org/”).get(); Elements ps = doc.select(“p”); Then write it out to a file in one more line out.write(ps.text()); //it will append all of the p elements together in one long string … Read more
you could do: $text = “1 out of 23”; if(preg_match_all(‘/\d+/’, $text, $numbers)) $lastnum = end($numbers[0]); Note that $numbers[0] contains array of strings that matched full pattern, and $numbers[1] contains array of strings enclosed by tags.
Here’s how you can approach this: HTML <p id=”emails”></p> JavaScript var text=”[email protected], “assdsdf” <[email protected]>, “rodnsdfald ferdfnson” <[email protected]>, “Affdmdol Gondfgale” <[email protected]>, “truform techno” <[email protected]>, “NiTsdfeSh ThIdfsKaRe” <[email protected]>, “akasdfsh kasdfstla” <[email protected]>, “Bisdsdfamal Prakaasdsh” <[email protected]>,; “milisdfsfnd ansdfasdfnsftwar” <[email protected]> datum eternus [email protected]”; function extractEmails (text) { return text.match(/([a-zA-Z0-9._+-]+@[a-zA-Z0-9._-]+\.[a-zA-Z0-9._-]+)/gi); } $(“#emails”).text(extractEmails(text).join(‘\n’)); Result [email protected],[email protected],[email protected],[email protected],[email protected],[email protected],[email protected],[email protected],[email protected],[email protected] Source: Extract email from bulk text (with … Read more
Yes, with Ghostscript, you can extract text from PDFs. But no, it is not the best tool for the job. And no, you cannot do it in “portions” (parts of single pages). What you can do: extract the text of a certain range of pages only. First: Ghostscript’s txtwrite output device (not so good) gs … Read more
I was given a 400 page pdf file with a table of data that I had to import – luckily no images. Ghostscript worked for me: gswin64c -sDEVICE=txtwrite -o output.txt input.pdf The output file was split into pages with headers, etc., but it was then easy to write an app to strip out blank lines, … Read more