To extract text from PDF you can try my code examples

PyMuPDF_fitz_ample.py

import re
import fitz

def validate_resume(filename):
    # Open the PDF file and read its contents
    with fitz.open(filename) as pdf:
        resume_text = ''
        for page in pdf:
            resume_text += page.get_text()
    # Check for certain keywords or phrases in the resume text
    required_skills = ['Python', 'Java', 'JavaScript', 'SQL']
    required_experience = ['years of experience', 'months of experience']
    for skill in required_skills:
        if not re.search(skill, resume_text, re.IGNORECASE):
            return False
    for exp in required_experience:
        if not re.search(exp, resume_text, re.IGNORECASE):
            return False
    print(resume_text)
    return True

filename = 'trial.pdf'
if (validate_resume(filename)):
   print('[OK] valid resume: ' + filename)
else:
   print('[ign] invalid resume.')

PyPDF2_PdfFileReader_sample.py

import re
import PyPDF2

filename = 'trial.pdf'

# Open the PDF file in read-binary mode
with open(filename , 'rb') as pdf_file:
    # create a PDF reader object
    pdf_reader = PyPDF2.PdfFileReader(pdf_file)
    # Get the number of pages in the PDF file
    num_pages = pdf_reader.numPages
    # Loop through each page and extract the text
    for page_num in range(num_pages):
        # Get the current page object
        page_obj = pdf_reader.getPage(page_num)
        # Extract the text from the page
        page_text = page_obj.extractText()
        # Print the extracted text
        print(page_text)