![]() It was developed to be platform-agnostic, independent of the underlying operating system and rendering engines. NB : Since my input is pretty complex with many different tables I ended up using both Camelot and Tabula, depending on the table, to achieve the best results.The Portable Document Format (PDF) is not a WYSIWYG (What You See is What You Get) format. It can also output results as CSV, JSON, HTML or Excel.Ĭamelot comes at the expense of a number of dependencies. (Not to be confused with the camelot package.) import camelot Furthermore it has its own accuracy indicator ( results.parsing_report), and great debugging features.īoth Camelot and Tabula provide the results as Pandas’ DataFrames, so it is easy to adjust tables afterwards. Print("Stopped Reading Page: ", i 1, "\n -=-")Ĭamelot seems a fairly powerful solution to extract tables from PDFs in Python.Īt first sight it seems to achieve almost as accurate extraction as the tabula-py package suggested by CreekGeek, which is already waaaaay above any other posted solution as of today in terms of reliability, but it is supposedly much more configurable. Print("\nStarting to Read Page: ", i 1, "\n -=-") Print("\nPrinting Table Content: \n", df)ĭef tiff_header_for_CCITT(self, width, height, img_size, CCITT_group=4):įile = str(i 1) "_" downloaded_file Interpreter = PDFPageInterpreter(pdfResourceManager, device)įor page in PDFPage.get_pages(fp, page_num, maxpages=max_pages, password=password, caching=caching, PdfResourceManager = PDFResourceManager()ĭevice = TextConverter(pdfResourceManager, retstr, codec='utf-8', laparams=la_params) Pdf_reader = PdfFileReader(open(file, 'rb')) ![]() With open(str(i 1) "_" filename, "wb") as outputStream: Pdf_reader = PdfFileReader(open(filename, "rb")) ![]() Local_filename = local_filename.replace(" ", "_")ĭef break_pdf(self, filename, start_page=-1, end_page=-1): It is working fine for me: # This works in python 3įrom PyPDF2 import PdfFileWriter, PdfFileReader Interpreter = PDFPageInterpreter(rsrcmgr, device) With TextConverter(rsrcmgr, retstr, codec=codec, '''Convert pdf content from a file path to text Test pdf file: #pip install pdfminer.sixįrom pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreterįrom nverter import TextConverter In 2020 the solutions above were not working for the particular pdf I was working with. As instructions for this would blow up this answer I put them on my personal blog. There is pdftotext which does basically the same but this assumes pdftotext in /usr/local/bin whereas I am using this in AWS lambda and wanted to use it from the current directory.ītw: For using this on lambda you need to put the binary and the dependency to libstdc .so into your lambda function. Res = n(args, stdout=subprocess.PIPE, stderr=subprocess.PIPE) SCRIPT_DIR = os.path.dirname(os.path.abspath(_file_))
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