Python | Machine Learning | Coding | R
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# ๐ Python Tutorial: Convert EPUB to PDF (Preserving Images)
#Python #EPUB #PDF #EbookConversion #Automation
This comprehensive guide will show you how to convert EPUB files (including those with images) to high-quality PDFs using Python.
---
## ๐น Required Tools & Libraries
We'll use these Python packages:
-
-
-
Also install system dependencies:
---
## ๐น Step 1: Extract EPUB Contents
First, we'll unpack the EPUB file to access its HTML and images.
---
## ๐น Step 2: Convert HTML to PDF
Now we'll convert the extracted HTML files to PDF while preserving images.
---
## ๐น Step 3: Complete Conversion Function
Combine everything into a single workflow.
---
## ๐น Advanced Options
### 1. Custom Styling
Add CSS to improve PDF appearance:
#Python #EPUB #PDF #EbookConversion #Automation
This comprehensive guide will show you how to convert EPUB files (including those with images) to high-quality PDFs using Python.
---
## ๐น Required Tools & Libraries
We'll use these Python packages:
-
ebooklib
- For EPUB parsing-
pdfkit
(wrapper for wkhtmltopdf) - For PDF generation-
Pillow
- For image handling (optional)pip install ebooklib pdfkit pillow
Also install system dependencies:
# On Ubuntu/Debian
sudo apt-get install wkhtmltopdf
# On MacOS
brew install wkhtmltopdf
# On Windows (download from wkhtmltopdf.org)
---
## ๐น Step 1: Extract EPUB Contents
First, we'll unpack the EPUB file to access its HTML and images.
from ebooklib import epub
from bs4 import BeautifulSoup
import os
def extract_epub(epub_path, output_dir):
book = epub.read_epub(epub_path)
# Create output directory
os.makedirs(output_dir, exist_ok=True)
# Extract all items (chapters, images, styles)
for item in book.get_items():
if item.get_type() == epub.ITEM_IMAGE:
# Save images
with open(os.path.join(output_dir, item.get_name()), 'wb') as f:
f.write(item.get_content())
elif item.get_type() == epub.ITEM_DOCUMENT:
# Save HTML chapters
with open(os.path.join(output_dir, item.get_name()), 'wb') as f:
f.write(item.get_content())
return [item.get_name() for item in book.get_items() if item.get_type() == epub.ITEM_DOCUMENT]
---
## ๐น Step 2: Convert HTML to PDF
Now we'll convert the extracted HTML files to PDF while preserving images.
import pdfkit
from PIL import Image # For image validation (optional)
def html_to_pdf(html_files, output_pdf, base_dir):
options = {
'encoding': "UTF-8",
'quiet': '',
'enable-local-file-access': '', # Critical for local images
'no-outline': None,
'margin-top': '15mm',
'margin-right': '15mm',
'margin-bottom': '15mm',
'margin-left': '15mm',
}
# Validate images (optional)
for html_file in html_files:
soup = BeautifulSoup(open(os.path.join(base_dir, html_file)), 'html.parser')
for img in soup.find_all('img'):
img_path = os.path.join(base_dir, img['src'])
try:
Image.open(img_path) # Validate image
except Exception as e:
print(f"Image error in {html_file}: {e}")
img.decompose() # Remove broken images
# Convert to PDF
pdfkit.from_file(
[os.path.join(base_dir, f) for f in html_files],
output_pdf,
options=options
)
---
## ๐น Step 3: Complete Conversion Function
Combine everything into a single workflow.
def epub_to_pdf(epub_path, output_pdf, temp_dir="temp_epub"):
try:
print(f"Converting {epub_path} to PDF...")
# Step 1: Extract EPUB
print("Extracting EPUB contents...")
html_files = extract_epub(epub_path, temp_dir)
# Step 2: Convert to PDF
print("Generating PDF...")
html_to_pdf(html_files, output_pdf, temp_dir)
print(f"Success! PDF saved to {output_pdf}")
return True
except Exception as e:
print(f"Conversion failed: {str(e)}")
return False
finally:
# Clean up temporary files
if os.path.exists(temp_dir):
import shutil
shutil.rmtree(temp_dir)
---
## ๐น Advanced Options
### 1. Custom Styling
Add CSS to improve PDF appearance:
def html_to_pdf(html_files, output_pdf, base_dir):
options = {
# ... previous options ...
'user-style-sheet': 'styles.css', # Custom CSS
}
# Create CSS file if needed
css = """
body { font-family: "Times New Roman", serif; font-size: 12pt; }
img { max-width: 100%; height: auto; }
"""
with open(os.path.join(base_dir, 'styles.css'), 'w') as f:
f.write(css)
pdfkit.from_file(/* ... */)
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๐ JaidedAI/EasyOCR โ an open-source Python library for Optical Character Recognition (OCR) that's easy to use and supports over 80 languages out of the box.
### ๐ Key Features:
๐ธ Extracts text from images and scanned documents โ including handwritten notes and unusual fonts
๐ธ Supports a wide range of languages like English, Russian, Chinese, Arabic, and more
๐ธ Built on PyTorch โ uses modern deep learning models (not the old-school Tesseract)
๐ธ Simple to integrate into your Python projects
### โ Example Usage:
### ๐ Ideal For:
โ Text extraction from photos, scans, and documents
โ Embedding OCR capabilities in apps (e.g. automated data entry)
๐ GitHub: https://github.com/JaidedAI/EasyOCR
๐ Follow us for more: @DataScienceN
#Python #OCR #MachineLearning #ComputerVision #EasyOCR
### ๐ Key Features:
๐ธ Extracts text from images and scanned documents โ including handwritten notes and unusual fonts
๐ธ Supports a wide range of languages like English, Russian, Chinese, Arabic, and more
๐ธ Built on PyTorch โ uses modern deep learning models (not the old-school Tesseract)
๐ธ Simple to integrate into your Python projects
### โ Example Usage:
import easyocr
reader = easyocr.Reader(['en', 'ru']) # Choose supported languages
result = reader.readtext('image.png')
### ๐ Ideal For:
โ Text extraction from photos, scans, and documents
โ Embedding OCR capabilities in apps (e.g. automated data entry)
๐ GitHub: https://github.com/JaidedAI/EasyOCR
๐ Follow us for more: @DataScienceN
#Python #OCR #MachineLearning #ComputerVision #EasyOCR
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โ Uses Segment Anything (SAM) by Meta for object segmentation
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โ Works in your browser with an intuitive Gradio UI
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In this comprehensive, step-by-step tutorial, you will learn how to build a real-time folder monitoring and intruder detection system using Python.
Create a background program that:
- Monitors a specific folder on your computer.
- Instantly captures a photo using the webcam whenever someone opens that folder.
- Saves the photo with a timestamp in a secure folder.
- Runs automatically when Windows starts.
- Keeps running until you manually stop it (e.g., via Task Manager or a hotkey).
Read and get code: https://hackmd.io/@husseinsheikho/Build-a-Folder-Monitoring
#Python #Security #FolderMonitoring #IntruderDetection #OpenCV #FaceCapture #Automation #Windows #TaskScheduler #ComputerVision
โ๏ธ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk๐ฑ Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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๐ Comprehensive Guide: How to Prepare for an Image Processing Job Interview โ 500 Most Common Interview Questions
Let's start: https://hackmd.io/@husseinsheikho/IP
#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics
Let's start: https://hackmd.io/@husseinsheikho/IP
#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics
โ๏ธ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk๐ฑ Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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