我试图使用Python提取包含在这个PDF文件中的文本。

我正在使用PyPDF2包(版本1.27.2),并有以下脚本:

import PyPDF2

with open("sample.pdf", "rb") as pdf_file:
    read_pdf = PyPDF2.PdfFileReader(pdf_file)
    number_of_pages = read_pdf.getNumPages()
    page = read_pdf.pages[0]
    page_content = page.extractText()
print(page_content)

当我运行代码时,我得到以下输出,这与PDF文档中包含的输出不同:

 ! " # $ % # $ % &% $ &' ( ) * % + , - % . / 0 1 ' * 2 3% 4
5
 ' % 1 $ # 2 6 % 3/ % 7 / ) ) / 8 % &) / 2 6 % 8 # 3" % 3" * % 31 3/ 9 # &)
%

如何提取PDF文档中的文本?


当前回答

目的:从PDF中提取文本

所需工具:

Poppler for windows: windows中pdftotext文件的包装器 对于anaanaconda: conda install -c conda-forge pdftotext实用程序转换PDF到文本。

步骤: 安装荡漾。windows操作系统:在env路径下增加“xxx/bin/” PIP安装pdftotext

import pdftotext
 
# Load your PDF
with open("Target.pdf", "rb") as f:
    pdf = pdftotext.PDF(f)
 
# Save all text to a txt file.
with open('output.txt', 'w') as f:
    f.write("\n\n".join(pdf))

其他回答

Pdftotext是最好和最简单的一个! Pdftotext也保留了结构。

我尝试了PyPDF2, PDFMiner和其他一些程序,但没有一个能给出令人满意的结果。

在某些情况下,PyPDF2忽略空白,使结果文本混乱,但我使用PyMuPDF,我真的很满意 你可以使用这个链接获取更多信息

我有一个比OCR更好的工作,并保持页面对齐,同时从PDF中提取文本。应该有帮助:

from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from pdfminer.pdfpage import PDFPage
from io import StringIO

def convert_pdf_to_txt(path):
    rsrcmgr = PDFResourceManager()
    retstr = StringIO()
    codec = 'utf-8'
    laparams = LAParams()
    device = TextConverter(rsrcmgr, retstr, codec=codec, laparams=laparams)
    fp = open(path, 'rb')
    interpreter = PDFPageInterpreter(rsrcmgr, device)
    password = ""
    maxpages = 0
    caching = True
    pagenos=set()


    for page in PDFPage.get_pages(fp, pagenos, maxpages=maxpages, password=password,caching=caching, check_extractable=True):
        interpreter.process_page(page)


    text = retstr.getvalue()

    fp.close()
    device.close()
    retstr.close()
    return text

text= convert_pdf_to_txt('test.pdf')
print(text)

试试borb,一个纯python PDF库

import typing  
from borb.pdf.document import Document  
from borb.pdf.pdf import PDF  
from borb.toolkit.text.simple_text_extraction import SimpleTextExtraction  


def main():

    # variable to hold Document instance
    doc: typing.Optional[Document] = None  

    # this implementation of EventListener handles text-rendering instructions
    l: SimpleTextExtraction = SimpleTextExtraction()  

    # open the document, passing along the array of listeners
    with open("input.pdf", "rb") as in_file_handle:  
        doc = PDF.loads(in_file_handle, [l])  
  
    # were we able to read the document?
    assert doc is not None  

    # print the text on page 0
    print(l.get_text(0))  

if __name__ == "__main__":
    main()

多页pdf可以提取为文本在单一延伸,而不是给个别页码作为参数使用下面的代码

import PyPDF2
import collections
pdf_file = open('samples.pdf', 'rb')
read_pdf = PyPDF2.PdfFileReader(pdf_file)
number_of_pages = read_pdf.getNumPages()
c = collections.Counter(range(number_of_pages))
for i in c:
   page = read_pdf.getPage(i)
   page_content = page.extractText()
   print page_content.encode('utf-8')