pdf-extraction

问题 I use Pdfplumber to extract the table on page 2, section 3 (normally). But it only works on some pdf, others do not work. For failed pdf files, it seems like Pdfplumber read the button table instead of the table I want. How can I get the table? link of the pdf which doesn't work: pdfA link of the pdf which works: pdfB Here is my code: import pdfplumber pdf = pdfplumber.open("/Users/chueckingmok/Desktop/selenium/Shell Omala 68.pdf") page = pdf.pages[1] table=page.extract_table() import pandas

问题 I use Pdfplumber to extract the table on page 2, section 3 (normally). But it only works on some pdf, others do not work. For failed pdf files, it seems like Pdfplumber read the button table instead of the table I want. How can I get the table? link of the pdf which doesn't work: pdfA link of the pdf which works: pdfB Here is my code: import pdfplumber pdf = pdfplumber.open("/Users/chueckingmok/Desktop/selenium/Shell Omala 68.pdf") page = pdf.pages[1] table=page.extract_table() import pandas

来源： https://stackoverflow.com/questions/33413632/extracting-text-from-a-pdf-with-cid-fonts

来源： https://stackoverflow.com/questions/33413632/extracting-text-from-a-pdf-with-cid-fonts

问题 I have a large number of files, some of them are scanned images into PDF and some are full/partial text PDF. Is there a way to check these files to ensure that we are only processing files which are scanned images and not those that are full/partial text PDF files? environment: PYTHON 3.6 回答1: The below code will work, to extract data text data from both searchable and non-searchable PDF's. import fitz text = "" path = "Your_scanned_or_partial_scanned.pdf" doc = fitz.open(path) for page in

问题 I am trying to extract text from a PDF file using Python. My main goal is I am trying to create a program that reads a bank statement and extracts its text to update an excel file to easily record monthly spendings. Right now I am focusing just extracting the text from the pdf file but I don't know how to do so. What is currently the best and easiest way to extract text from a PDF file into a string? What library is best to use today and how can I do it? I have tried using PyPDF2 but

问题 I am trying to extract text from a PDF file using Python. My main goal is I am trying to create a program that reads a bank statement and extracts its text to update an excel file to easily record monthly spendings. Right now I am focusing just extracting the text from the pdf file but I don't know how to do so. What is currently the best and easiest way to extract text from a PDF file into a string? What library is best to use today and how can I do it? I have tried using PyPDF2 but

问题 I am using iTextSharp to extract data from pdfs. I stumbled across the following problem, depicted by the scenario below: I created a sample excel file to illustrate. Here is what it looks like: I convert it to a pdf, using one of the many free online converters available out there, which generates a pdf looking like (when I generated the pdf I did not apply the styling to the excel): Now, using iTextSharp to extract the data from the pdf, returns me the following string as the data extracted

问题 I am using Camelot to read complete PDFs and extract about 112 attributes from each one. I use table areas to extract the attributes test_variable = camelot.read_pdf(filename, flavor='stream', table_areas=['38, 340 ,50, 328']) The issue is the table area is not constant for the same attribute across all documents. Sometimes I would find the same attribute a few pixels down in x or y-coordinates i another document. test_variable = camelot.read_pdf(filename, flavor='stream', table_areas=['38

问题 I would like to parse an entire PDF character by character and be able to get the ASCII value, font and the Rectangle of that character on that PDF document which I can later use to save as a bitmap. I tried using PdfTextExtractor.GetTextFromPage but that gives the entire text in the PDF as string. 回答1: The text extraction strategies bundled with iTextSharp (in particular the LocationTextExtractionStrategy used by default by the PdfTextExtractor.GetTextFromPage overload without strategy