两行Python代码实现pdf转word功能
一、安装依赖包
二、pdf转word
2.1 代码实现
2.2 pdf内容
2.3 转换后的word
补充
一、安装依赖包pip install --index https://pypi.mirrors.ustc.edu.cn/simple/ python-office
二、pdf转word
2.1 代码实现
import office
office.pdf.pdf2docx(file_path = 'test.pdf')
运行过程如下：
2.2 pdf内容[1/4] Opening document...
[INFO] [2/4] Analyzing document...
[WARNING] 'created' timestamp seems very low; regarding as unix timestamp
[WARNING] 'modified' timestamp seems very low; regarding as unix timestamp
[WARNING] 'created' timestamp seems very low; regarding as unix timestamp
[WARNING] 'modified' timestamp seems very low; regarding as unix timestamp
[INFO] [3/4] Parsing pages...
[INFO] (1/9) Page 1
[INFO] (2/9) Page 2
[INFO] (3/9) Page 3
[INFO] (4/9) Page 4
[INFO] (5/9) Page 5
[INFO] (6/9) Page 6
[INFO] (7/9) Page 7
[INFO] (8/9) Page 8
[INFO] (9/9) Page 9
[INFO] [4/4] Creating pages...
[INFO] (1/9) Page 1
[INFO] (2/9) Page 2
[INFO] (3/9) Page 3
[INFO] (4/9) Page 4
[INFO] (5/9) Page 5
[INFO] (6/9) Page 6
[INFO] (7/9) Page 7
[INFO] (8/9) Page 8
[INFO] (9/9) Page 9
[INFO] Terminated in 1.30s.
Process finished with exit code 0
由上可见，效果还不错。
补充除了上文的办法，小编还为大家整理了更多Python实现的PDF转Word方法，需要的可以参考一下
方法一：
import os
from configparser import ConfigParser
from io import StringIO
from io import open
from concurrent.futures import ProcessPoolExecutor
from pdfminer.pdfinterp import PDFResourceManager
from pdfminer.pdfinterp import process_pdf
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from docx import Document
def read_from_pdf(file_path):
with open(file_path, 'rb') as file:
resource_manager = PDFResourceManager()
return_str = StringIO()
lap_params = LAParams()
device = TextConverter(
resource_manager, return_str, laparams=lap_params)
process_pdf(resource_manager, device, file)
device.close()
content = return_str.getvalue()
return_str.close()
return content
def save_text_to_word(content, file_path):
doc = Document()
for line in content.split('\n'):
paragraph = doc.add_paragraph()
paragraph.add_run(remove_control_characters(line))
doc.save(file_path)
def remove_control_characters(content):
mpa = dict.fromkeys(range(32))
return content.translate(mpa)
def pdf_to_word(pdf_file_path, word_file_path):
content = read_from_pdf(pdf_file_path)
save_text_to_word(content, word_file_path)
def main():
config_parser = ConfigParser()
config_parser.read('config.cfg')
config = config_parser['default']
tasks = []
with ProcessPoolExecutor(max_workers=int(config['max_worker'])) as executor:
for file in os.listdir(config['pdf_folder']):
extension_name = os.path.splitext(file)[1]
if extension_name != '.pdf':
continue
file_name = os.path.splitext(file)[0]
pdf_file = config['pdf_folder'] + '/' + file
word_file = config['word_folder'] + '/' + file_name + '.docx'
print('正在处理: ', file)
result = executor.submit(pdf_to_word, pdf_file, word_file)
tasks.append(result)
while True:
exit_flag = True
for task in tasks:
if not task.done():
exit_flag = False
if exit_flag:
print('完成')
exit(0)
if __name__ == '__main__':
main()
方法二：
加密过的PDF转word
#-*- coding: UTF-8 -*-
#!/usr/bin/python
#-*- coding: utf-8 -*-
import sys
import importlib
importlib.reload(sys)
from pdfminer.pdfparser import PDFParser,PDFDocument
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import PDFPageAggregator
from pdfminer.layout import *
from pdfminer.pdfinterp import PDFTextExtractionNotAllowed
import os
#设置工作目录文件夹
os.chdir(r'c:/users/dicey/desktop/codes/pdf-docx')
#解析pdf文件函数
def parse(pdf_path):
fp = open('diya.pdf', '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
parser = PDFParser(fp)
# 创建一个PDF文档
doc = PDFDocument()
# 连接分析器 与文档对象
parser.set_document(doc)
doc.set_parser(parser)
# 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
else:
# 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)
# 用来计数页面，图片，曲线，figure，水平文本框等对象的数量
num_page, num_image, num_curve, num_figure, num_TextBoxHorizontal = 0, 0, 0, 0, 0
# 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
num_page += 1 # 页面增一
interpreter.process_page(page)
# 接受该页面的LTPage对象
layout = device.get_result()
for x in layout:
if isinstance(x,LTImage): # 图片对象
num_image += 1
if isinstance(x,LTCurve): # 曲线对象
num_curve += 1
if isinstance(x,LTFigure): # figure对象
num_figure += 1
if isinstance(x, LTTextBoxHorizontal): # 获取文本内容
num_TextBoxHorizontal += 1 # 水平文本框对象增一
# 保存文本内容
with open(r'test2.doc', 'a',encoding='utf-8') as f: #生成doc文件的文件名及路径
results = x.get_text()
f.write(results)
f.write('\n')
print('对象数量：\n','页面数：%s\n'%num_page,'图片数：%s\n'%num_image,'曲线数：%s\n'%num_curve,'水平文本框：%s\n'
%num_TextBoxHorizontal)
if __name__ == '__main__':
pdf_path = r'diya.pdf' #pdf文件路径及文件名
parse(pdf_path)
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