如何使用python从pdf文件中提取图像、视频和音频答案

【问题标题】：How to extract images, video and audio from a pdf file using python如何使用python从pdf文件中提取图像、视频和音频
【发布时间】：2023-01-14 22:47:04
【问题描述】：

我需要一个可以从 pdf 中提取视频音频和图像的 python 程序。我曾尝试使用 PyPDF2 和 Pillow 等库，但我无法让这三个库都起作用，更不用说一个了。

【问题讨论】：

标签： python image pdf audio video

【解决方案1】：

这应该工作：

import os
from wand.image import Image
from PyPDF2 import PdfFileReader

#specify the path of the pdf
path = os.path.join('sample_pdf.pdf')

#open the pdf file
with open(path, 'rb') as pdf:
    pdf_reader = PdfFileReader(pdf)
    num_pages = pdf_reader.getNumPages()
   
    #iterate through each page
    for page in range(num_pages):
        page_obj = pdf_reader.getPage(page)
        xObject = page_obj['/Resources']['/XObject'].getObject()
       
        #iterate through each object in the page
        for obj in xObject:
            if xObject[obj]['/Subtype'] == '/Image':
                size = (xObject[obj]['/Width'], xObject[obj]['/Height'])
                data = xObject[obj].getData()
                
                #check if the object is an image or a video
                if xObject[obj]['/Filter'] == '/FlateDecode':
                    img = Image(blob=data, size=size)
                    path = 'page_'+str(page)+'_'+obj[1:]+'.jpg'
                    img.save(filename=path)
                    print('Saved page_%s_%s as JPG' % (page, obj[1:]))
                elif xObject[obj]['/Filter'] == '/DCTDecode':
                    path = 'page_'+str(page)+'_'+obj[1:]+'.mp4'
                    with open(path, 'wb') as f:
                        f.write(data)
                    print('Saved page_%s_%s as MP4' % (page, obj[1:]))
                else:
                    path = 'page_'+str(page)+'_'+obj[1:]+'.wav'
                    with open(path, 'wb') as f:
                        f.write(data)
                    print('Saved page_%s_%s as WAV' % (page, obj[1:]))

或者这个图片：

import requests
from bs4 import BeautifulSoup

username = input("Enter the username of the Instagram user: ")

url = f"https://www.instagram.com/{username}/"

req = requests.get(url)
soup = BeautifulSoup(req.text, 'html.parser')

posts = soup.findAll('div', class_="v1Nh3 kIKUG  _bz0w")

for post in posts:
    img_src = post.find('img')['src']
    img_name = img_src.split('/')[-1]
    img_data = requests.get(img_src).content
    with open(img_name, 'wb') as handler:
        handler.write(img_data)
    print(f"{img_name} downloaded")

【讨论】：