Sometimes you need to use Adobe Reader several times to get an extractable copy. I am also concerned that if a better method of encryption is used the trick maybe would not work. However, I am still looking for an option to do it without that trick because the goal is to do it 100% with Python. This is a possible solution to my question. I also can convert the PDF file to JSON, Excel, SQLite, CSV, HTML, and another formats. If I open the secured pdf with Adobe Reader, and I print it using Microsoft to PDF, and I save it as a PDF, I can extract the data using that copy. #To get all the tables of the pdf you need to use this code. #Same can be done with csv, json, html, or sqlite. #Translate camelot table object to a pandas dataframe Name_table = camelot.read_pdf("uncrypted.pdf") However, it does not work with encrypted and decrypted files, and that is my goal.Ĭamelot is oriented to get tables from PDFs. I checked the code and it is working with unencrypted files. Frank Du shares this code in a YouTube video "Extract tabular data from PDF with Camelot Using Python." The author of the program is Vinayak Mehta. First, you need also to install Ghostscript. It is very powerful, and works with Python 3.7. Be careful that you need camelot-py 0.7.3. This will be the decrypted PDF.Ĥ) Run the codes again using the decrypted PDF. The data is in the fields.ģ) Decrypt the encrypted PDF using Pykepdf. Otherwise, you would be checking for labels, but not fields. After you download it, you need to fill the fields. Use a generic form that you can find using Google. Here is the description:ġ) Run the codes mention in this question with any PDF that never has been encrypted.Ģ) Do the same with a PDF "Secure" (this is a term that Adobe uses), I am calling it the encrypted PDF. I would love if you want to repeat my experiment. The code is in the stack exchange question:Įxtracting text from a PDF file using PDFMiner in python? According to their documentation " P圜ryptodome is a self-contained Python package of low-level cryptographic primitives." Pdfminer.six includes a library pycryptodome. For that analysis, I used pdfminer.six that is Python library that was released in November 2018. As I need the data and the labels of encrypted or decrypted files, this code does not work for me. For the file that has never been encrypted works perfect. For the decrypted file, I got the labels, but not the data. I got better results using the solution posted by DuckPuncher. UPDATE Pdfminer.six (Version November 2018) With Tabula, I am getting the message "the output file is empty." PdfReader=PyPDF2.PdfFileReader(pdfFileObj) Tabula.read_pdf("decrypted.pdf", stream=True) With pikepdf.open("encrypted.pdf") as pdf: I found these results using Python 3.7, Windows 10, Jupiter Notebooks, and Anaconda 2019.07. Why I cannot read the decrypted files, if the programs work with files that never have been encrypted?Ĭan we read with Python the decrypted files somehow? Which library can do it or is impossible? Are all decrypted PDFs extractable? I also checked that the code is working fine, with the limitations that I explained before. The PyPDF2 solution was written by Al Sweigart in his book, " Automate the Boring Stuff with Python," that I highly recommend. I found it in the documentation of the Python libraries Pykepdf and Tabula. It is not working with the decrypted PDFs that were gotten with pykepdf as well. The code that I am showing works perfectly with unencrypted PDFs, but not with encrypted PDFs. At this time, we have made some improvement because using Adobe Reader I can export the information from the decrypted PDFs, but the goal is to do everything with Python. Pykepdf works very well! However, the decrypted PDFs cannot be read as well with the Python libraries of the previous point ( PyPDF2 and Tabula). I was successful using the Python library pykepdf. At that time, I could not export the information using Adobe Reader either. However, the Python libraries that I found do not read encrypted PDFs. The goal is to read them with Python because is the language that we have some idea.įirst, I tried to read the PDFs with some Python libraries. But, we have all these documents and we can read them manually. We do not have PDF passwords, even more, we are not sure if passwords exist. The PDFs are "secured." In other words, they are encrypted. I have to analyze the internal PDFs of the last years. I am doing an internship and I have an internal data analysis project. I am an recent graduate in pure mathematics who only has taken few basic programming courses.
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