I'm trying to automate a long manual workflow for my work using Python. I need to get the first page of 10 different PDFs, and combine them together into one PDF. However, these PDFs are digitally signed using Adobe Sign, so they are 'encryted.'
I tried to use PyPDF2 package but it cannot split encrypted PDFs. Current the manual workaround is to print the first page of each PDF to PDF using Microsoft Print to PDF, as shown below. I don't know how to use the python.os to use Microsoft Print and print the only first page of each encrypted PDF...
EDIT: The PDFs are 'encrypted' but does not require a password to open or print. And PDFs do prevent people to edit them because they are 'encrypted.' Note I put quotes around 'encrypted' because they are encrypted only in some ways.. The software I used is Adobe Acrobat Professional.
Your guidance and insight is highly appreciated!
Related
I've come across an assignment which requires me to extract tabular data from images in a pdf file to neatly formatted dataframes via python code. There are several files to be processed and the relevant pages in all the files the may have different page numbers, hence the sequence of steps for this problem (my assumption) are:
Navigate to relevant section of the pdf
Extract images of the tabular data
Extract data from the images, format and convert to dataframes.
Some google searches resulted in me finding libraries for pdf text extraction, table extraction and more - modular solutions only.
I would appreciate some help in this regard. What packages should I use? Is my approach correct?
Can I get references to any helpful code snippets for similar problems?
page structure of the required tables
This started as a comment. I believe the answer is valid as it is in no way an endorsement of the service. I don't even use it. I know Azure uses SO as well.
This is the stuff of commercial services. You can try Azure Form Recognizer (with which I am not affiliated):
https://learn.microsoft.com/en-us/azure/applied-ai-services/form-recognizer
Here are some python examples of how to use it:
https://learn.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/how-to-guides/try-sdk-rest-api?pivots=programming-language-python
The AWS equivalent is Textract https://aws.amazon.com/textract
The Google Cloud version is called Form Parser - see https://cloud.google.com/document-ai/docs/processors-list#processor_form-parser
I'm trying to parse the pdf into an html, and then I would like to extract the headings and subheading from the tags. The pdf document was generated by Microsoft word so, I'm pretty sure there must be a way to get those headings.
So far, I have tried parsing with Apache Tika and PDFMiner.six but so far the html I have got doesn't have such tags which I could use to extract headings and subheadings of the document.
I wonder if there is a way to do it, would appreciate any help. Thank you
I suggest you to use GROBID which is a machine learning library for extracting, parsing and re-structuring raw documents such as PDF into structured XML/TEI encoded documents with a particular focus on technical and scientific publications.
A simple python client for GROBID REST services is available at https://github.com/kermitt2/grobid-client-python
This Python client can be used to process a set of PDF in a given directory by the GROBID service. Results are written in a given output directory and include the resulting XML TEI representation of the PDF.
Hope this helps.
I want to translate site using Google Websites Translate and then download it like pdf or jpg. I tried to use wkhtmltopdf, but Google Websites Translate return result in frame. Thus if I take a screenshot (pdf or jpg) of translated page I get empty pdf.
Converting HTML to PDF may not work here.
Go for getting snaps of webpages in png/jpeg format.
try FireShot Chrome Extension.
I am not sure if it'll work, Trying is not bad.
How can I download all the pdf (or specific extension files like .tif or .pdf) from a webpage that requires login. I dont want to log in everytime for every pdf so I cant use link generation and pushing to browser scheme
The solution was simple: just posting it for others may have the same question
mydriver.get("https://username:password#www.somewebsite.com/somelink")
I want to email out a document that will be filled in by many people and emailed back to me. I will then parse the responses using Python and load them into my database.
What is the best format to send out the initial document in?
I was thinking an interactive .pdf but do not want to have to pay for Adobe XI. Alternatively maybe a .html file but I'm not sure how easy it is to save the state of it once its been filled in in order to be emailed back to me. A .xls file may also be a solution but I'm leaning away from it simply because it would not be a particularly professional looking format.
The key points are:
Answers can be easily parsed using Python
The format should common enough to open on most computers
The document should look relatively pleasing to the eye
Send them a web-page with a FORM section, complete with some Javascript to grab the contents of the controls and send them to you (e.g. in JSON format) when they press "submit".
Another option is to set it up as a web application. There are several Python web frameworks that could be used for that. You could then e-mail people a link to the web-app.
Why don't you use Google Docs for the form. Create the form in Google Docs and save the answer in an excel sheet. And then use any python Excel format reader (Google them) to read the file. This way you don't need to parse through mails and will be performance friendly too. Or you could just make a simple form using AppEngine and save the data directly to the database.