![]() One we have the PdfFileReader object ready, we can use its methods like getDocumentInfo() to get the file information, or getNumPages() to get the total number of pages in the PDF file. In the code above, we have first used the open() method used to open a file in Python for reading, then we will use this file object to initialize the PdfFileReader object. Print("Number of Pages: " + str(pdfReader.getNumPages())) Print("Printing the document info: " + str(pdfReader.getDocumentInfo())) # create PDFFileReader object to read the file Now let's see how we can use PyPDF2 module to read PDF files: from PyPDF2 import PdfFileReader Using the PyPDF2 moduleįor extracting text from a PDF file we will be using the PdfFileReader class which is used to initialize PdfFileReader object, taking a stream parameter, in which we will provide the file stream for the PDF file. Once we have downloaded the PyPDF2 module, we can write the code for opening the PDF file, then reading its text and printing it on the console or writing the text in a separate text file. ![]() ![]() Run the below pip command to download the PyPDF2 module: pip install PyPDF2 To install the PyPDF2 module, you can use pip command. We will be using the PyPDF2 module for extracting text from PDF files. The PDF can be a multipage PDF too, we will extract the text for all the pages of PDF. This could improve the OCR recognition by PyTesseract significantly for some images.In this simple tutorial, we will learn how we can extract text from a given PDF in Python. Scale the image to the optimal sizeĭepending on the image you can increase the size of the image: double the width and height. The lighter version is performing much better in comparison to the dark one. It may work for you just fine, it wasn't designed to run on your platform. While the bad example is here and the result is: De ee ec Ec Please keep this in mind if you run into problems. May work for you just fine, it wasn't designed to run on your platform. You are running Workbench on an unsupported operating system. The good version is and the ouput is: Unsupported Operating System How to improve the OCR results Use white color themes (dark text on white background)īelow you can see two examples of a good and a bad image containing one and the same text but giving completely different results: Text = pytesseract.image_to_string(im, lang='eng') Then open image by image and extract the text: from PIL import Imageįor root, dirs, filenames in os.walk(indir): If you have more than one image you can iterate over all and extract the text by os.walk. Only for PDF example you need to install imagemagick binding of python 3: pip install wand Text = pytesseract.image_to_string(image, lang = 'eng') ImageBlobs.append(imgPage.make_blob('jpeg')) PdfFile = wi(filename = ""/home/user/sample.pdf"", resolution = 300) read images one by one and extract the text with pytesseract / tesserct-ocr.open the PDF file with wand / imagemagick.OCR or text extraction from PDF is divided in several steps: Python OCR(Optical Character Recognition) for PDF install pill and pytesseract(used for connection to tesseract-ocr):.You need to run this in your terminal or pip console: In order the code above to work you may need(unless you have them) the following additional packages. Here you can find list of other languages: Str = pytesseract.image_to_string(file, lang='eng') You will need to import pil and pytesseract: from PIL import Imageįile = Image.open("/home/user/sample.png") You could find interesting this summary python post: Python useful tips and reference projectīelow you can find simple python 3 example of reading image file and outputting the text to the console. Examples of extraction for tabular data with python.Extract tabular data from PDF with Python - Tabula, Camelot, PyPDF2.You can watch video demonstration of extraction from image and then from PDF files: Python's binding pytesseract for tesserct-ocr is extracting text from image or PDF with great success: str = pytesseract.image_to_string(file, lang='eng') Python extract text from multiple images in folder.Python OCR(Optical Character Recognition) for PDF.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |