Image text extractor python
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# We do not want images to be to big, dpi=200 I save all the pages to disk and convert page 2 to a string. I am also setting the size of the image, it can be good to do this if you have many pdf:s and want them all to have the same size. I do not want images to be to big, but I need a satisfactory resolution (dpi=200) to be able to extract the data I want. pdf file to images, one image per page in the file. You will need the following libraries: pandas, pdf2image and pytesseract. pdf to images and extract text from one of the images.
![image text extractor python image text extractor python](https://i.ytimg.com/vi/t-oV9NNTi30/maxresdefault.jpg)
I am using an invoice as data source in this tutorial ( download it), i am going to convert this. Check out my previous post: Install Python and libraries, if you have difficulties with this. You will need to install Tesseract OCR and unpack poppler to be able to run the code in this tutorial, you will also need to add the path to poppler and Tesseract OCR as environment variables. We might use pdf:s as our data source and/or want to extract certain information from a pdf or an image based on model predictions. It can be useful to extract text from a pdf or an image when we are working with machine learning.
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I am also going to get a specific value from an invoice by using bounding boxes. Tesseract OCR offers a number of methods to extract text from an image and I will cover 4 methods in this tutorial.
#Image text extractor python how to#
This tutorial will show you how to extract text from a pdf or an image with Tesseract OCR in Python.