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

在2020年,上述解决方案并不适用于我正在使用的特定pdf。下面是诀窍。我用的是Windows 10和Python 3.8

测试pdf文件:https://drive.google.com/file/d/1aUfQAlvq5hA9kz2c9CyJADiY3KpY3-Vn/view?usp=sharing

#pip install pdfminer.six
import io

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


def convert_pdf_to_txt(path):
    '''Convert pdf content from a file path to text

    :path the file path
    '''
    rsrcmgr = PDFResourceManager()
    codec = 'utf-8'
    laparams = LAParams()

    with io.StringIO() as retstr:
        with TextConverter(rsrcmgr, retstr, codec=codec,
                           laparams=laparams) as device:
            with open(path, 'rb') as fp:
                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)

                return retstr.getvalue()


if __name__ == "__main__":
    print(convert_pdf_to_txt('C:\\Path\\To\\Test_PDF.pdf')) 

其他回答

下面是提取文本的最简单代码

代码:

# importing required modules
import PyPDF2

# creating a pdf file object
pdfFileObj = open('filename.pdf', 'rb')

# creating a pdf reader object
pdfReader = PyPDF2.PdfFileReader(pdfFileObj)

# printing number of pages in pdf file
print(pdfReader.numPages)

# creating a page object
pageObj = pdfReader.getPage(5)

# extracting text from page
print(pageObj.extractText())

# closing the pdf file object
pdfFileObj.close()

一种更健壮的方法,假设有多个PDF或只有一个!

import os
from PyPDF2 import PdfFileWriter, PdfFileReader
from io import BytesIO

mydir = # specify path to your directory where PDF or PDF's are

for arch in os.listdir(mydir): 
    buffer = io.BytesIO()
    archpath = os.path.join(mydir, arch)
    with open(archpath) as f:
            pdfFileObj = open(archpath, 'rb')
            pdfReader = PyPDF2.PdfFileReader(pdfFileObj)
            pdfReader.numPages
            pageObj = pdfReader.getPage(0) 
            ley = pageObj.extractText()
            file1 = open("myfile.txt","w")
            file1.writelines(ley)
            file1.close()
            

我在寻找一个简单的解决方案来使用python 3。X和窗口。textract似乎不支持,这是不幸的,但如果你正在寻找一个简单的解决方案的windows/python 3签出tika包,真的直接阅读pdf。

Tika-Python是绑定到Apache Tika™REST服务的Python,允许在Python社区中本地调用Tika。

from tika import parser # pip install tika

raw = parser.from_file('sample.pdf')
print(raw['content'])

注意,Tika是用Java编写的,因此需要安装Java运行时

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')

使用pdfminer.six。这里是文档:https://pdfminersix.readthedocs.io/en/latest/index.html

将pdf转换为文本:

    def pdf_to_text():
        from pdfminer.high_level import extract_text

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