![]() ![]() The output is a list of tuple items, each item will look like this: However, what if you want to separate particular text blocks? It can be done by passing the parameter “blocks” to the get_text() method. The output is quite pretty since the PyMuPDF knows how to read the text in a natural order. Here is the result when we print the output: In case we get a multi-page document, we will loop all the pages to get the text plain from the document. To extract the text, type the following and run in your jupyter notebook or python file: for page in doc: We will get every necessary information from it, including the text. The “doc” is a PyMuPDF’s Document class representing the whole document. Let’s open with fitz: doc = fitz.open(my_path) This is a typical Resume PDF containing a candidate’s information such as contact details, summary, objective, education, skills, and work experience sections. Extract Text from PDFįirst of all, we need to set a variable to contain the path to our pdf file. Please replace the ‘PATH_TO_YOUR_AWESOME_RESUME_PDF’ with your path: my_path = ‘PATH_TO_YOUR_AWESOME_RESUME_PDF” The PyMuPDF library also cannot work with scanned pdf. A searchable pdf file enables you to do the mentioned work, while a scanned pdf cannot. To check whether your pdf file is legit, open it with a pdf reader and try to copy text or search for some words. ![]() Note: In this blog post, we only work with searchable PDF files. This is due to historical reasons – according to the author You can install it by typing in the terminal.Īnd start using the library by importing the installed module: import fitzīear in mind that the top-level Python import name of the PyMuPDF library is fitz. Let’s dive into PyMuPDF, the library needed for text extraction. It allows you to see both the code and the results at the same time. We also recommend installing the jupyter notebook ( Project Jupyter), which is great for showcasing your work. A virtual environment is preferable since we can manage our Python packages. If you are a beginner, please follow this tutorial to set up a proper programming workspace for yourself: Python – Environment Setup. We’ll assume that you already have a Python environment (with Python >=3.7). Our today’s article will guide you through every step needed to fully extract and analyze the text from a PDF document. This issue can be easily tackled by programming with the help of the PyMuPDF library. What if you want to auto-convert all these documents and store the most useful information in your database? Bankers also need to spend days inputting invoice data into a system. For example, the HR department in any company has to look through hundreds of resumes/CVs every month. Reading or scanning many documents manually involves a lot of time and effort. It’s one of the most important tasks in natural language processing. Also, we have use some properties to extract data from the pdf file.Text Extraction refers to the process of automatically scanning and converting unstructured text into a structured format. We have opened the file and passed rb mode to read pdf file. We have installed the PyPDF2 module and use PdfFileReader class to read a pdf files. Step 6: We have closed the pdf file object. Step 5: The extractText() method is used to extract text from the page object. It takes page number (starting from index 0) as an argument. Step 4: The getPage() method is used to get returns the page object. We have read the pdf file and now access some properties to get data: It also offers few more arguments that can be passed. Step 3: PdfFileReader function is used to read the data from the object that holds the path of a pdf file. I am assuming test.pdf file is stored in the same directory where the main program is. We have provided one more argument i.e rb which means read binary. This ll create an object that holds the path of the pdf file. Step 2: Open the PDF file using open() method. ![]() Step 1: At the top of the, we have imported the PyPDF2 module. In the above code, we have done the following things one by one line: Output: A Simple PDF File This is a small demonstration. PdfReader = PyPDF2.PdfFileReader(pdfFileObj) ![]()
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