Once we have the text as a string variable, we can do any processing on the text. Here, we process the images and convert it into text. Part #2 deals with recognizing text from the image files and storing it into a text file. The names of the images stored are: PDF page 1 -> page_1.jpg PDF page 2 -> page_2.jpg PDF page 3 -> page_3.jpg …. Each page of the PDF is stored as an image file.
Part #1 deals with converting the PDF into image files. There are two parts to the program as follows: Firstly, we need to convert the pages of the PDF to images and then, use OCR (Optical Character Recognition) to read the content from the image and store it in a text file.
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Let’s see how to read all the contents of a PDF file and store it in a text document using OCR. So, converting the PDF to text might result in the loss of data due to the encoding scheme. PDF documents can come in a variety of encodings including UTF-8, ASCII, Unicode, etc. The major disadvantage of using these libraries is the encoding scheme. There are several ways of doing this, including using libraries like PyPDF2 in Python. Python offers many libraries to do this task. In such cases, we convert that format (like PDF or JPG, etc.) to the text format, in order to analyze the data in a better way. Python is widely used for analyzing the data but the data need not be in the required format always.
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