I have to convert whole pdf to text. i have seen at many places converting pdf to text but particular page.
from PyPDF2 import PdfFileReader
import os
def text_extractor(path):
with open(os.path.join(path,file), 'rb') as f:
pdf = PdfFileReader(f)
###Here i can specify page but i need to convert whole pdf without specifying pages###
page = pdf.getPage(0)
text = page.extractText()
print(text)
if __name__ == '__main__':
path="C:\\Users\\AAAA\\Desktop\\BB"
for file in os.listdir(path):
if not file.endswith(".pdf"):
continue
text_extractor(path)
How to convert whole pdf file to text without using getpage()??
You may want to use textract as this answer recommends to get the full document if all you want is the text.
If you want to use PyPDF2 then you can first get the number of pages then iterate over each page such as:
from PyPDF2 import PdfFileReader
import os
def text_extractor(path):
with open(os.path.join(path,file), 'rb') as f:
pdf = PdfFileReader(f)
###Here i can specify page but i need to convert whole pdf without specifying pages###
text = ""
for page_num in range(pdf.getNumPages()):
page = pdf.getPage(page_num)
text += page.extractText()
print(text)
if __name__ == '__main__':
path="C:\\Users\\AAAA\\Desktop\\BB"
for file in os.listdir(path):
if not file.endswith(".pdf"):
continue
text_extractor(path)
Though you may want to remember which page the text came from in which case you could use a list:
page_text = []
for page_num in range(pdf.getNumPages()): # For each page
page = pdf.getPage(page_num) # Get that page's reference
page_text.append(page.extractText()) # Add that page to our array
for page in page_text:
print(page) # print each page
You could use tika to accomplish this task, but the output needs a little cleaning.
from tika import parser
parse_entire_pdf = parser.from_file('mypdf.pdf', xmlContent=True)
parse_entire_pdf = parse_entire_pdf['content']
print (parse_entire_pdf)
This answer uses PyPDF2 and encode('utf-8') to keep the output per page together.
from PyPDF2 import PdfFileReader
def pdf_text_extractor(path):
with open(path, 'rb') as f:
pdf = PdfFileReader(f)
# Get total pdf page number.
totalPageNumber = pdf.numPages
currentPageNumber = 0
while (currentPageNumber < totalPageNumber):
page = pdf.getPage(currentPageNumber)
text = page.extractText()
# The encoding put each page on a single line.
# type is <class 'bytes'>
print(text.encode('utf-8'))
#################################
# This outputs the text to a list,
# but it doesn't keep paragraphs
# together
#################################
# output = text.encode('utf-8')
# split = str(output, 'utf-8').split('\n')
# print (split)
#################################
# Process next page.
currentPageNumber += 1
path = 'mypdf.pdf'
pdf_text_extractor(path)
Try pdfreader. You can extract either plain text or decoded text containing "pdf markdown":
from pdfreader import SimplePDFViewer, PageDoesNotExist
fd = open(you_pdf_file_name, "rb")
viewer = SimplePDFViewer(fd)
plain_text = ""
pdf_markdown = ""
try:
while True:
viewer.render()
pdf_markdown += viewer.canvas.text_content
plain_text += "".join(viewer.canvas.strings)
viewer.next()
except PageDoesNotExist:
pass
PDF is a page-oriented format & therefore you'll need to deal with the concept of pages.
What makes it perhaps even more difficult, you're not guaranteed that the text excerpts you're able to extract are extracted in the same order as they are presented on the page: PDF allows one to say "put this text within a 4x3 box situated 1" from the top, with a 1" left margin.", and then I can put the next set of text somewhere else on the same page.
Your extractText() function simply gets the extracted text blocks in document order, not presentation order.
Tables are notoriously difficult to extract in a common, meaningful way... You see them as tables, PDF sees them as text blocks placed on the page with little or no relationship.
Still, getPage() and extractText() are good starting points & if you have simply formatted pages, they may work fine.
I found out a very simple way to do this.
You have to follow this steps:
Install PyPDF2 :To do this step if you use Anaconda, search for Anaconda Prompt and digit the following command, you need administrator permission to do this.
pip install PyPDF2
If you're not using Anaconda you have to install pip and put its path
to your cmd or terminal.
Python Code: This following code shows how to convert a pdf file very easily:
import PyPDF2
with open("pdf file path here",'rb') as file_obj:
pdf_reader = PyPDF2.PdfFileReader(file_obj)
raw = pdf_reader.getPage(0).extractText()
print(raw)
I just used pdftotext module to get this done easily.
import pdftotext
# Load your PDF
with open("test.pdf", "rb") as f:
pdf = pdftotext.PDF(f)
# creating a text file after iterating through all pages in the pdf
file = open("test.txt", "w")
for page in pdf:
file.write(page)
file.close()
Link: https://github.com/manojitballav/pdf-text
Related
I want to automatically turn pdf files into text, and then take that output to save a file on my desktop.
Example:
-- pdf converted text: "HELLO WORLD"
-- save file on desktop on a .txt file with "HELLO WORLD" saved.
I have done:
fp = open('/Users/zain/Desktop', 'pdf_summary')
fp.write(text)
I thought this would save my file on the desktop given the input (text) which I used as the variable to house the converted text.
Full Code:
from PyPDF2 import PdfReader
reader = PdfReader("/Users/zain/Desktop/Week2_POL305_Manfieldetal.pdf")
text = ""
for page in reader.pages:
text += page.extract_text() + "\n"
print(text)
fp = open('/Users/zain/Desktop', 'pdf_summary')
fp.write(text)
fp.write(text)
PDF may consist of all sorts of things, not only text.
You therefore have to explicitly extract text from a PDF - if that is what you want.
In package PyMuPDF you could do it this way:
import fitz # import pymupdf
import pathlib
doc=fitz.open("input.pdf")
text = "\n".join([page.get_text() for page in doc])
pathlib.Path("input.txt").write_bytes(text.encode()) # supports non ASCII text
This works for me.
from PyPDF2 import PdfReader
#path to pdf file
reader=PdfReader(r'C:\Users\zain\Desktop\Week2_POL305_Manfieldetal.pdf')
text = ""
for page in reader.pages:
text += page.extract_text() + '\n'
#path to save file on desktop
#you can keep txt, leave nothing, or change it to another file type
fp = open(r'C:\Users\zain\Desktop\pdf_summary.txt','a')
fp.writelines(text)
I am new to python, only one script behind me for searching strings in pdfs. Now, I would like to build script which will give me results in new CSV/xlsx file where I will have first lines and their page numbers of given pdf file. For now I have code below for printing whole page:
from PyPDF2 import PdfFileReader
pdf_document = "example.pdf"
with open(pdf_document, "rb") as filehandle:
pdf = PdfFileReader(filehandle)
info = pdf.getDocumentInfo()
pages = pdf.getNumPages()
print (info)
print ("number of pages: %i" % pages)
page1 = pdf.getPage(0)
print(page1)
print(page1.extractText())
You can read pdf file page by page, split by '\n' (if that is the character that splits lines), then use the CSV package to write into a CSV file. A script like below. Just to mention that it if the PDF contains images this code will not be able to extract text. You need an OCR module to convert images to text first.
from PyPDF2 import PdfFileReader
import csv
pdf_document = "test.pdf"
with open(pdf_document, "rb") as filehandle:
pdf = PdfFileReader(filehandle)
with open('result.csv','w') as csv_file:
csv_writer = csv.writer(csv_file)
csv_writer.writerow(['page numebr','firts line'])
for i in range(0, pdf.getNumPages()):
content= pdf.getPage(i).extractText().split('\n')
print(content[0]) # prints first line
print(i+1) # prints page number
print('-------------')
csv_writer.writerow([i+1,content[0]])
I have been trying to extract text from PDFs , i am using PyPDF2 with python and extracting text but now i am trying to extract text from Non Copyable pdfs. it returns me empty string.
I am converting simple Copyable PDF to Non Copyable PDF online from here : https://online-pdf-no-copy.com/
here is my code :
from PyPDF2 import PdfFileReader
def get_info(path):
with open(path, 'rb') as f:
pdf = PdfFileReader(f)
if pdf.isEncrypted:
pdf.decrypt('')
page = pdf.getPage(1)
# print(page)
print('Page type: {}'.format(str(type(page))))
text = page.extractText()
print(text)
if __name__ == '__main__':
path = 'pdfs/finalNoCopy.pdf'
get_info(path)
My Output :
Page type: <class 'PyPDF2.pdf.PageObject'>
Process finished with exit code 0
it gives me empty string .
You can try this code:
import fitz ## Pip install pymupdf
text1=""
file_path = r'your_file_name_with_path.pdf'
doc = fitz.open(file_path)
for page in doc:
text1+=(page.getText())
Is there a way to get specific text from pdf using NLP or python library
First you install PyPDF2 library using below command:
pip install PyPDF2
type this code:
Import PyPDF2
mypdf=open(”/home/Desktop/sample.pdf”, mode=”rb”)
pdf_document=PyPDF2.PdfFileReader(mypdf) `
Now creating pdfobject as pdf_document, how much page in pdf then used pdf_document.numPages
first_page=pdf_document.getPage(0)
print( first_page.extractText() )
Now you can read pdf file.
if you have any misunderstanding in my answer, please refer to the below link:
Python for NLP: Working with Text and PDF Files
Try pdfreader to extract texts (plain and containing PDF operators) from PDF document
Here is a sample code extracting all the above from all document pages.
from pdfreader import SimplePDFViewer, PageDoesNotExist
fd = open(you_pdf_file_name, "rb")
viewer = SimplePDFViewer(fd)
plain_text = ""
pdf_markdown = ""
try:
while True:
viewer.render()
pdf_markdown += viewer.canvas.text_content
plain_text += "".join(viewer.canvas.strings)
viewer.next()
except PageDoesNotExist:
pass
You can use either use tika, textract or PyPDF2
from tika import parser
data = parser.from_file('your_pdf.pdf')
print(data['text'])
I used the following code to read the pdf file, but it does not read it. What could possibly be the reason?
from PyPDF2 import PdfFileReader
reader = PdfFileReader("example.pdf")
contents = reader.pages[0].extractText().split("\n")
print(contents)
The output is [u''] instead of reading the content.
import re
from PyPDF2 import PdfFileReader
reader = PdfFileReader("example.pdf")
for page in reader.pages:
text = page.extractText()
text_lower = text.lower()
for line in text_lower:
if re.search("abc", line):
print(line)
I use it to iterate page by page of pdf and search for key terms in it and process further.
May be this can help you to read PDF.
import pyPdf
def getPDFContent(path):
content = ""
pages = 10
p = file(path, "rb")
pdf_content = pyPdf.PdfFileReader(p)
for i in range(0, pages):
content += pdf_content.getPage(i).extractText() + "\n"
content = " ".join(content.replace(u"\xa0", " ").strip().split())
return content
I think you need to specify the disc name, it's missing in your directory. For example "D:/Users/Rahul/Desktop/Dfiles/106_2015_34-76357.pdf". I tried and I can read without any problem.
Or if you want to find the file path using the os module which you didn't really associate with your directory, you can try the following:
from PyPDF2 import PdfFileReader
import os
def find(name, path):
for root, dirs, files in os.walk(path):
if name in files:
return os.path.join(root, name)
directory = find('106_2015_34-76357.pdf', 'D:/Users/Rahul/Desktop/Dfiles/')
f = open(directory, 'rb')
reader = PdfFileReader(f)
contents = reader.getPage(0).extractText().split('\n')
f.close()
print(contents)
The find function can be found in Nadia Alramli's answer here Find a file in python
To Read the files from Multiple Folders in a directory, below code can be used-
This Example is for reading pdf files:
import os
from tika import parser
path = "/usr/local/" # path directory
directory=os.path.join(path)
for r,d,f in os.walk(directory): #going through subdirectories
for file in f:
if ".pdf" in file: # reading only PDF files
file_join = os.path.join(r, file) #getting full path
file_data = parser.from_file(file_join) # parsing the PDF file
text = file_data['content'] # read the content
print(text) #print the content
def getTextPDF(pdfFileName,password=''):
import PyPDF2
from PyPDF2 import PdfFileReader, PdfFileWriter
from nltk import sent_tokenize
""" Extract Text from pdf """
pdf_file=open(pdfFileName,'rb')
read_pdf=PyPDF2.PdfFileReader(pdf_file)
if password !='':
read_pdf.decrypt(password)
text=[]
for i in range(0,read_pdf.getNumPages()):
text.append(read_pdf.getPage(i).extractText())
text = '\n'.join (text).replace("\n",'')
text = sent_tokenize(text)
return text
The issue was one of two things: (1) The text was not on page one - hence a user error. (2) PyPDF2 failed to extract the text - hence a bug in PyPDF2.
Sadly, the second one still happens for some PDFs.
Hello Rahul Pipalia,
If not install PyPDF2 in your python so first install PyPDF2 after use this module.
Installation Steps for Ubuntu (Install python-pypdf)
First, open terminal
After type sudo apt-get install python-pypdf
Your Probelm Solution
Try this below code,
# Import Library
import PyPDF2
# Which you want to read file so give file name with ".pdf" extension
pdf_file = open('Your_Pdf_File_Name.pdf')
read_pdf = PyPDF2.PdfFileReader(pdf_file)
number_of_pages = read_pdf.getNumPages()
#Give page number of the pdf file (How many page in pdf file).
# #param Page_Nuber_of_the_PDF_file: Give page number here i.e 1
page = read_pdf.getPage(Page_Nuber_of_the_PDF_file)
page_content = page.extractText()
# Display content of the pdf
print page_content
Download the PDF from below link and try this code,
https://www.dropbox.com/s/4qad66r2361hvmu/sample.pdf?dl=1
I hope my answer is helpful.
If any query so comments, please.