pythonweb-scrapingpoppler

How to convert pdf from url to image using pdf2image in python?


I am able to convert pdf file in my drive to images using pdf2image convert_to_path but when I try the same for pdf 'https://example.com/abc.pdf', end up with multiple errors.

Code:

url = 'https://example.com/abc.pdf'
scrape = urlopen(url)  # for external files
pil_images = pdf2image.convert_from_bytes(scrape.read(), dpi=200, 
             output_folder=None, first_page=None, last_page=None,
             thread_count=1, userpw=None,use_cropbox=False, strict=False,
             poppler_path=r"C:\poppler-0.68.0_x86\poppler-0.68.0\bin",)

Error:

   Unable to get page count. Syntax Error: Document stream is empty

Followed below link as well but no luck

Python3: Download PDF to memory and convert first page to image

Screenshot for Authentication:

enter image description here


Solution

  • First download pdf from URL as per mention in this blog. https://dzone.com/articles/simple-examples-of-downloading-files-using-python

    Then use this convert pdf to image or any other format in series if you have multiple pages in pdf.

    import ghostscript
    
    def pdf2jpeg(pdf_input_path, jpeg_output_path):
        args = ["pdf2jpeg", # actual value doesn't matter
                "-dNOPAUSE",
                "-sDEVICE=jpeg",
                "-r144",
                "-sOutputFile=" + jpeg_output_path,
                pdf_input_path]
        ghostscript.Ghostscript(*args)
    

    Reference : Converting a PDF to a series of images with Python

    For authentication try this.

    import os
    import requests
    
    from urlparse import urlparse
    
    username = 'foo'
    password = 'sekret'
    
    url = 'http://example.com/blueberry/download/somefile.jpg'
    filename = os.path.basename(urlparse(url).path)
    
    r = requests.get(url, auth=(username,password))
    
    if r.status_code == 200:
       with open(filename, 'wb') as out:
          for bits in r.iter_content():
              out.write(bits)
    

    reference : Download a file providing username and password using Python