I am still a newbie to Python. I am trying to develop a generic pdf-scraper to csv that is organized by the columns containing: page number and paragraphs.
I'm using the PyMuPDF library and I have managed to extract all the text. But I have no clue how to parse the text and write it into csv:
page number, paragraph
page number, paragraph
page number, paragraph
Luckily there is a structure. Each paragraph ends with an enter (\n). Each page ends with a page number followed by an enter (\n). I would like to include headers as well but they are harder to delimit.
import fitz
import csv
pdf = '/file/path.pdf'
doc = fitz.open(pdf)
for page in doc:
text = page.getText(text)
print (text)
Related
I need to extract text from a pdf using Python (NLP application), and want to leave out the first 5 lines from the text on every page. I tried looking online, but couldn't find anything substantial. I am using the below code to read all text on the pages. Is there a post-extraction step that can remove from all pages the first few lines, or maybe something that can be done at extraction stage itself?
fileReader = PyPDF2.PdfFileReader(file)
s=""
for i in range(2, fileReader.numPages):
s+=fileReader.getPage(i).extractText()
split text with "\n" and slice to remove the first 5 lines:
import pdfplumber
pdf = pdfplumber.open("CS.pdf")
for page in pdf.pages:
text = page.extract_text()
for line in text.split("\n")[5:]:
print(line)
I want to write a tool that is able to process a docx file and replace urls that match a specific pattern, with different content (e.g. headings, tables, and text).
Finding the matching URL is simple enough
from docx import Document
from docx.opc.constants import RELATIONSHIP_TYPE as RT
doc = Document('input.docx')
rels = doc.part.rels
for r in iter_hyperlink_rels(rels):
print(r)
But I'm not sure how to remove that element and place my own content at that specific location. How can I do this?
In essence, I'm trying to implement a sort of macro processor that replaces specific tags within a document with content generated using these tags.
I need some help retrieving footnotes from docx documents in python as the docx file contains a large number of footnotes.
Below is the code that I have at the moment which has a problem, since docx2python cannot read word documents more than certain number of pages.
from docx2python import docx2python
docx_temp = docx2python(filepath)
footnotes = docx_temp.footnotes
footnotes = footnotes[0][0][0]
footnotes = [i.replace("\t","") for i in footnotes]
So I tried other methods below but I'm stuck as I'm unfamiliar with XML, and I'm not sure the codes are working:
import re
import mammoth
with open(filepath, 'rb') as file:
html = mammoth.convert_to_html(file).value
#html = re.sub('\"(.+?)\"', '"<em>\1</em>"', html)
fnotes = re.findall('id="footnote-<number>" (.*?) ', html)
AND
import re
import zipfile
import xml.etree.ElementTree
from docx2python import docx2python
docxfile = zipfile.ZipFile(open(filepath,'rb'))
xmlString = docxfile.read('word/footnotes.xml').decode('utf-8')
fn = docxfile.read('word/footnotes.xml')
xml.etree.ElementTree.parse(fn)
Could you guys tell me how to correctly write the code to extract footnotes from docx/HTML files. Thanks for your help!
since docx2python cannot read word documents more than certain number of pages.
Few month ago, I reprogramed docx2python to reproducing a structured(with level) xml format file from a docx file, which works out pretty good on many files. I get no calling for content lossing.
Would you try some other files, or share your file with us, or tell us what you certain number is.
As far as I know, footnotes source code in docx2python were written as this footer = [x for y in footer for x in y]. If you use footnotes[0][0][0] to get footnotes, you may get a wrong one.
I am reading the input docx file sections/paragraphs and then copy-pasting the content in it to another docx file at a particular section. The content is having images, tables and bullet points in between the data. However, I'm getting only text not the images, tables and bullet points present in between the text.
Tika module is able to read whole content but the whole docx is coming in a single string so I'm unable to iterate over the section and also I'm unable to edit(copy-pasting the content) the output docx file.
Tried using python-docx, whereas it reads only content and it won't identify the images and tables inside the paragraph in between text data. The python-docx will identifies all the images and tables present in whole document not particularly with paragraph
Tried unzipping word to XML, but the XML is having images in a separate folder. Also, the code will not identify the bullets
def tika_extract_data(input_file, output_file):
import tika, collections
from tika import unpack
parsed = collections.OrderedDict()
parsed = unpack.from_file(input_file)
with open(output_file, 'w') as f:
for line in parsed:
if line == 'content':
lines = parsed[line]
# print(lines)
for indx, j in enumerate(lines.split("\\n")):
print(j)
I expected the output file should be having all the sections replaced with the copied input section content(images, tables, smart art and formats)
The output file just has the text data.
I have some pdf files, which have double columns per page. I want to extract text from those files by program. The content of pdf file is Chinese. I tried to use pdfminer3k library of python3 and ghostscript, whose result are all not very good.
At last, I use the github open source project named textract, and the link is deanmalmgren/textract.
But textract can not detect that the every page that contains two columns. I use the following command:
import textract
text = textract.process("/home/name/Downloads/textract-master/test.pdf")
print text
And pdf file link is https://pan.baidu.com/s/1nvLQnLf
The output result shows that the extract program regards the two columns as one column. I want to extract the double columns pdf files. How to solve?
This is the output result by extract program.