如何使用python(pandas..)将数据从pdf文件提取到单个csv文件

所以我需要建立一个从pdf文件(简历)(OCR)中提取数据的模型,所以我收集了一堆pdf文件,我需要将它们转换为适合OCR的形式,我迷失了方向。我试着用Regex把它们转换成csv文件,但没有用。csv文件是空的,如果你们能帮我做什么,那就太好了。提前谢谢! 这是我的代码:

import pdfplumber
import os
import re
import pandas as pd

def clean_text(text):
    cleaned_text = re.sub(r"[^a-zA-Z0-9\s@.-]", "", text)  # Remove special characters except alphanumeric, @, and -
    cleaned_text = re.sub(r"\s+", " ", cleaned_text)  # Remove extra spaces
    return cleaned_text.strip()

def extract_data_from_resume(pdf_path):
    with pdfplumber.open(pdf_path) as pdf:
        text = ""
        for page in pdf.pages:
            text += page.extract_text()

    cleaned_text = clean_text(text)

    name_pattern = r"Name:\s*(.*)"
    name_match = re.search(name_pattern, cleaned_text, re.IGNORECASE)
    name = name_match.group(1) if name_match else ""

    email_pattern = r"Email:\s*([^\s@]+@[^\s@]+\.[^\s@]+)"
    email_match = re.search(email_pattern, cleaned_text, re.IGNORECASE)
    email = email_match.group(1) if email_match else ""

    phone_pattern = r"Phone:\s*(.*)"
    phone_match = re.search(phone_pattern, cleaned_text, re.IGNORECASE)
    phone = phone_match.group(1) if phone_match else ""

    return name, email, phone

def convert_pdf_to_csv(directory, output_csv_path):
    data = []
    for filename in os.listdir(directory):
        if filename.endswith(".pdf"):
            pdf_path = os.path.join(directory, filename)
            name, email, phone = extract_data_from_resume(pdf_path)
            data.append({"Name": name, "Email": email, "Phone": phone})

    df = pd.DataFrame(data)
    df.to_csv(output_csv_path, index=False)

# Example usage
directory = 'D:/data/test'
output_csv_path = 'D:/data/test/test.csv'
convert_pdf_to_csv(directory, output_csv_path)