Python converting PDF to text

Python converting PDF to text

To convert a PDF file to text in Python, you can use the PyPDF2 library, which is a popular library for working with PDFs. Here's how you can use PyPDF2 to extract text from a PDF file:

  • Install the PyPDF2 library if you haven't already:
pip install PyPDF2
  • Use the following Python code to extract text from a PDF file:
import PyPDF2

def pdf_to_text(pdf_file_path):
    text = ""
    try:
        with open(pdf_file_path, "rb") as pdf_file:
            pdf_reader = PyPDF2.PdfFileReader(pdf_file)

            for page_num in range(pdf_reader.getNumPages()):
                page = pdf_reader.getPage(page_num)
                text += page.extractText()

    except Exception as e:
        print(f"An error occurred: {str(e)}")

    return text

# Replace "your_pdf_file.pdf" with the path to your PDF file
pdf_file_path = "your_pdf_file.pdf"
extracted_text = pdf_to_text(pdf_file_path)

# Print the extracted text
print(extracted_text)

In this code:

  • We define a function pdf_to_text that takes the path to a PDF file as input.

  • We open the PDF file using the PdfFileReader class from PyPDF2.

  • We iterate through each page in the PDF using a for loop and extract the text from each page using page.extractText().

  • The extracted text is concatenated into a single string variable text.

  • Any exceptions that occur during the process are caught and printed.

  • Finally, the extracted text is returned.

Make sure to replace "your_pdf_file.pdf" with the actual path to your PDF file. After running the code, extracted_text will contain the text extracted from the PDF, and you can use it as needed in your Python program.

Examples

  1. Query: "How to convert PDF to text in Python?"

    • Description: Extract text from a PDF document in Python.
    • Code:
      # Before using this code, ensure you have the required library installed
# Install via pip if needed: `pip install PyPDF2`
import PyPDF2

# Open a PDF file
with open("sample.pdf", "rb") as file:
    reader = PyPDF2.PdfFileReader(file)
    text = ""

    # Iterate through each page and extract text
    for page_num in range(reader.getNumPages()):
        page = reader.getPage(page_num)
        text += page.extractText()

print("Extracted text:", text[:100])  # Display a sample of the extracted text

  2. Query: "Python convert specific pages of PDF to text"

    • Description: Extract text from specific pages of a PDF document.
    • Code:
      import PyPDF2

# Open a PDF file
with open("document.pdf", "rb") as file:
    reader = PyPDF2.PdfFileReader(file)
    text = ""

    # Extract text from specific pages (e.g., page 1 to 3)
    for page_num in range(1, 4):
        page = reader.getPage(page_num - 1)
        text += page.extractText()

print("Text from specific pages:", text[:100])

  3. Query: "Python convert PDF to text with OCR"

    • Description: Use OCR (Optical Character Recognition) to extract text from a PDF, especially when dealing with scanned documents.
    • Code:
      # Ensure you have the necessary libraries installed:
# `pip install pytesseract`
# `sudo apt-get install tesseract-ocr` (for Linux)
import pytesseract
from PIL import Image
from pdf2image import convert_from_path

# Convert PDF pages to images
pages = convert_from_path("scanned_document.pdf", 300)

# Extract text using OCR
text = ""
for page in pages:
    text += pytesseract.image_to_string(page)

print("Text from OCR:", text[:100])

  4. Query: "Python convert PDF to text and save to file"

    • Description: Extract text from a PDF document and save it to a text file.
    • Code:
      import PyPDF2

# Open a PDF file
with open("report.pdf", "rb") as file:
    reader = PyPDF2.PdfFileReader(file)
    text = ""

    # Extract text from all pages
    for page_num in range(reader.getNumPages()):
        page = reader.getPage(page_num)
        text += page.extractText()

# Save extracted text to a file
with open("report_text.txt", "w") as text_file:
    text_file.write(text)

print("Text saved to file")

  5. Query: "Python convert PDF to text and perform text analysis"

    • Description: Convert a PDF to text and perform basic text analysis, like word counting or text summarization.
    • Code:
      import PyPDF2
from collections import Counter
import re

# Open and read PDF
with open("ebook.pdf", "rb") as file:
    reader = PyPDF2.PdfFileReader(file)
    text = ""

    # Extract text from all pages
    for page_num in range(reader.getNumPages()):
        page = reader.getPage(page_num)
        text += page.extractText()

# Clean up text and perform word count
words = re.findall(r'\b\w+\b', text.lower())
word_count = Counter(words)

print("Most common words:", word_count.most_common(5))  # Top 5 most common words

  6. Query: "Python convert PDF to text and extract specific information"

    • Description: Extract specific information (like emails, URLs, or phone numbers) from a PDF.
    • Code:
      import PyPDF2
import re

# Open and read PDF
with open("document.pdf", "rb") as file:
    reader = PyPDF2.PdfFileReader(file)
    text = ""

    # Extract text from all pages
    for page_num in range(reader.getNumPages()):
        page = reader.getPage(page_num)
        text += page.extractText()

# Extract emails from the text
emails = re.findall(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b', text)
print("Extracted emails:", emails)

  7. Query: "Python convert PDF to text and send via email"

    • Description: Convert a PDF to text and send the extracted text via email.
    • Code:
      import PyPDF2
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart

# Extract text from PDF
with open("document.pdf", "rb") as file:
    reader = PyPDF2.PdfFileReader(file)
    text = ""

    for page_num in range(reader.getNumPages()):
        page = reader.getPage(page_num)
        text += page.extractText()

# Email setup
sender_email = "you@example.com"
receiver_email = "receiver@example.com"
subject = "Extracted Text from PDF"
body = text[:500]  # Example snippet of the text

message = MIMEMultipart()
message["From"] = sender_email
message["To"] = receiver_email
message["Subject"] = subject
message.attach(MIMEText(body, "plain"))

# Send email
with smtplib.SMTP("smtp.example.com", 587) as server:
    server.starttls()
    server.login(sender_email, "your_password")
    server.sendmail(sender_email, receiver_email, message.as_string())

print("Email sent with extracted text")

  8. Query: "Python convert PDF to text with PDFMiner"

    • Description: Use PDFMiner, a popular library for PDF text extraction, to convert PDF to text.
    • Code:
      # Before using this code, ensure you have PDFMiner installed:
# `pip install pdfminer.six`
from pdfminer.high_level import extract_text

# Extract text from PDF
text = extract_text("sample.pdf")
print("Extracted text:", text[:100])

  9. Query: "Python convert PDF to text and store in a database"

    • Description: Convert a PDF to text and store the extracted content in a database for further use or analysis.
    • Code:
      import PyPDF2
import sqlite3

# Open PDF and extract text
with open("report.pdf", "rb") as file:
    reader = PyPDF2.PdfFileReader(file)
    text = ""

    for page_num in range(reader.getNumPages()):
        page = reader.getPage(page_num)
        text += page.extractText()

# Connect to SQLite database and store text
conn = sqlite3.connect("my_database.db")
cursor = conn.cursor()

# Create table and insert text
cursor.execute("CREATE TABLE IF NOT EXISTS pdf_text (id INTEGER PRIMARY KEY, content TEXT)")
cursor.execute("INSERT INTO pdf_text (content) VALUES (?)", (text,))

# Commit changes
conn.commit()

print("Text stored in database")

  10. Query: "Python convert PDF to text and summarize the content"

    • Description: Convert a PDF to text and summarize the content for quick overview or analysis.
    • Code:
      import PyPDF2
import gensim
from gensim.summarization import summarize

# Extract text from PDF
with open("document.pdf", "rb") as file:
    reader = PyPDF2.PdfFileReader(file)
    text = ""

    for page_num in range(reader.getNumPages()):
        page = reader.getPage(page_num)
        text += page.extractText()

# Summarize the text content
summary = summarize(text, ratio=0.1)  # 10% compression

print("Text summary:", summary)

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