Python method to parse and read the contents of PDF files
This article mainly introduces the method of Python parsing and reading the content of PDF files. It also describes the relevant operating techniques of Python2.7 in win32 and win64 environments to read PDF in the form of examples. Friends in need can refer to the following
The examples in this article describe how Python parses and reads the contents of PDF files. Share it with everyone for your reference, the details are as follows:
1. Problem description
Use python to read the PDF text content.
2. Effect
# #3. Running environment
python2.74. Libraries that need to be installed
pip install pdfminer
5. Implementation source code
Code 1 (win64)
# coding=utf-8
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import time
time1=time.time()
import os.path
from pdfminer.pdfparser import PDFParser,PDFDocument
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import PDFPageAggregator
from pdfminer.layout import LTTextBoxHorizontal,LAParams
from pdfminer.pdfinterp import PDFTextExtractionNotAllowed
result=[]
class CPdf2TxtManager():
def __init__(self):
'''''
Constructor
'''
def changePdfToText(self, filePath):
file = open(path, 'rb') # 以二进制读模式打开
#用文件对象来创建一个pdf文档分析器
praser = PDFParser(file)
# 创建一个PDF文档
doc = PDFDocument()
# 连接分析器 与文档对象
praser.set_document(doc)
doc.set_parser(praser)
# 提供初始化密码
# 如果没有密码 就创建一个空的字符串
doc.initialize()
# 检测文档是否提供txt转换，不提供就忽略
if not doc.is_extractable:
raise PDFTextExtractionNotAllowed
# 创建PDf 资源管理器 来管理共享资源
rsrcmgr = PDFResourceManager()
# 创建一个PDF设备对象
laparams = LAParams()
device = PDFPageAggregator(rsrcmgr, laparams=laparams)
# 创建一个PDF解释器对象
interpreter = PDFPageInterpreter(rsrcmgr, device)
pdfStr = ''
# 循环遍历列表，每次处理一个page的内容
for page in doc.get_pages(): # doc.get_pages() 获取page列表
interpreter.process_page(page)
# 接受该页面的LTPage对象
layout = device.get_result()
for x in layout:
if hasattr(x, "get_text"):
# print x.get_text()
result.append(x.get_text())
fileNames = os.path.splitext(filePath)
with open(fileNames[0] + '.txt','wb') as f:
results = x.get_text()
print(results)
f.write(results + '\n')
if __name__ == '__main__':
'''''
解析pdf 文本，保存到txt文件中
'''
path = u'C:/data3.pdf'
pdf2TxtManager = CPdf2TxtManager()
pdf2TxtManager.changePdfToText(path)
# print result[0]
time2 = time.time()
print u'ok,解析pdf结束!'
print u'总共耗时：' + str(time2 - time1) + 's'Code 2 (win32)
# coding=utf-8
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import time
time1=time.time()
import os.path
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import PDFPageAggregator
from pdfminer.layout import LAParams
from pdfminer.pdfpage import PDFTextExtractionNotAllowed
from pdfminer.pdfparser import PDFParser
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdfpage import PDFPage
result=[]
class CPdf2TxtManager():
def __init__(self):
'''''
Constructor
'''
def changePdfToText(self, filePath):
file = open(path, 'rb') # 以二进制读模式打开
#用文件对象来创建一个pdf文档分析器
praser = PDFParser(file)
# 创建一个PDF文档
doc = PDFDocument(praser)
# 检测文档是否提供txt转换，不提供就忽略
if not doc.is_extractable:
raise PDFTextExtractionNotAllowed
# 创建PDf 资源管理器 来管理共享资源
rsrcmgr = PDFResourceManager()
# 创建一个PDF设备对象
laparams = LAParams()
device = PDFPageAggregator(rsrcmgr, laparams=laparams)
# 创建一个PDF解释器对象
interpreter = PDFPageInterpreter(rsrcmgr, device)
pdfStr = ''
# 循环遍历列表，每次处理一个page的内容
for page in PDFPage.create_pages(doc): # doc.get_pages() 获取page列表
interpreter.process_page(page)
# 接受该页面的LTPage对象
layout = device.get_result()
for x in layout:
if hasattr(x, "get_text"):
# print x.get_text()
result.append(x.get_text())
fileNames = os.path.splitext(filePath)
with open(fileNames[0] + '.txt','wb') as f:
results = x.get_text()
print(results)
f.write(results + '\n')
if __name__ == '__main__':
'''''
解析pdf 文本，保存到txt文件中
'''
path = u'C:/36.pdf'
pdf2TxtManager = CPdf2TxtManager()
pdf2TxtManager.changePdfToText(path)
# print result[0]
time2 = time.time()
print u'ok,解析pdf结束!'
print u'总共耗时：' + str(time2 - time1) + 's'Python implements the method of grabbing HTML web pages and saving them as PDF files
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