# =========================================
# Email to PDF Conversion Script
# =========================================
#
# Version: 1.0
# Script written by Warith Al Maawali
# (c) 2024
#
# Discord channel: https://discord.gg/KEFErEx
# Twitter: http://twitter.com/warith2020
# Linkedin: http://www.linkedin.com/in/warith1977
# Website: https://www.digi77.com
#
# This script converts email files (.eml) to PDF format.
# It supports HTML, Markdown, and plain text content,
# preserves formatting, and extracts attachments.
#
# The resulting PDF includes the email body and
# information about any attachments present.
#
# This software is dual-licensed:
#
# Personal, non-commercial use: Apache License 2.0
# Commercial, corporate, or organizational use: Separate commercial license required.
# Contact me for licensing inquiries.
#
# Usage: python eml2pdf.py
# =========================================
# Changeable variables and sensitive words
BASE_DIRECTORY = "/xxxxxxx/Emails"
EML_DIRECTORY = "eml files"
HTML_OUTPUT_DIRECTORY = "html_output"
MARKDOWN_OUTPUT_DIRECTORY = "markdown_output"
PDF_OUTPUT_DIRECTORY = "pdf_output"
COMBINED_OUTPUT_DIRECTORY = "combined_output"
TEXT_OUTPUT_DIRECTORY = "text_output"
JSON_OUTPUT_DIRECTORY = "json_output"
ATTACHMENTS_DIRECTORY = "attachments"
COMBINED_OUTPUT_FILENAME = "combined_emails"
PRIVATE_MESSAGE_PATTERN = r'This is a PRIVATE message.*?purpose\.'
RESTRICTED_DATA_PATTERN = r'External xxxxxxxx correspondence:.*?if it is obtained from another source without restriction\.'
CONFIDENTIALITY_START = "CONFIDENTIALITY: This email and any accompa"
# Import necessary libraries
import os
import email
from email import policy
from email.parser import BytesParser
from bs4 import BeautifulSoup
from reportlab.lib import colors
from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, KeepTogether
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.units import inch
from email.utils import getaddresses, parsedate_to_datetime
from reportlab.pdfgen import canvas
from reportlab.platypus.flowables import Flowable
from html import unescape, escape
import re
import pkg_resources
import datetime
import json
import markdown
from tabulate import tabulate
from html5lib import HTMLParser, parse
import subprocess
import sys
from xhtml2pdf import pisa
"""JSON serializer for objects not serializable by default json code"""
def json_serial(obj):
if isinstance(obj, datetime.datetime):
serial = obj.isoformat()
return serial
"""
Extract content from an email file (.eml)
Args:
eml_file (str): Path to the .eml file
Returns:
tuple: (date, html_content, subject, reply_count)
"""
def extract_email_content(eml_file):
with open(eml_file, 'rb') as email_file:
email_message = BytesParser(policy=policy.default).parse(email_file)
# Extract header information
sender = email_message['From']
subject = email_message['Subject']
date = email_message['Date']
message_id = email_message['Message-ID']
# Extract attachments
attachments = []
for part in email_message.walk():
if part.get_content_maintype() == 'multipart':
continue
if part.get('Content-Disposition') is None:
continue
filename = part.get_filename()
if filename:
size = len(part.get_payload(decode=True))
size_str = f"{size / 1024:.2f} KB" if size < 1024 * 1024 else f"{size / (1024 * 1024):.2f} MB"
attachments.append(f"{filename} ({size_str})")
# Extract and save attachment
attachments_directory = os.path.join(BASE_DIRECTORY, ATTACHMENTS_DIRECTORY)
if not os.path.exists(attachments_directory):
os.makedirs(attachments_directory)
filepath = os.path.join(attachments_directory, filename)
with open(filepath, 'wb') as f:
f.write(part.get_payload(decode=True))
print(f"Saved attachment: {filepath}")
content = []
private_message_pattern = re.compile(PRIVATE_MESSAGE_PATTERN, re.DOTALL)
restricted_data_pattern = re.compile(RESTRICTED_DATA_PATTERN, re.DOTALL)
# Process multipart emails
if email_message.is_multipart():
for part in email_message.walk():
if part.get_content_type() == 'text/plain':
part_content = part.get_payload(decode=True).decode()
part_content = private_message_pattern.sub('', part_content)
part_content = restricted_data_pattern.sub('', part_content)
content.append(part_content)
elif part.get_content_type() == 'text/html':
html_content = part.get_payload(decode=True).decode()
soup = BeautifulSoup(html_content, 'html.parser')
for img in soup.find_all('img'):
img.decompose()
for p in soup.find_all('p'):
if p.text.startswith("National Security Services Group ") or p.text.startswith(CONFIDENTIALITY_START):
p.decompose()
plain_content = soup.get_text()
plain_content = private_message_pattern.sub('', plain_content)
plain_content = restricted_data_pattern.sub('', plain_content)
content.append(plain_content)
else:
# Process non-multipart emails
if email_message.get_content_type() == 'text/plain':
email_content = email_message.get_payload(decode=True).decode()
email_content = private_message_pattern.sub('', email_content)
email_content = restricted_data_pattern.sub('', email_content)
content.append(email_content)
elif email_message.get_content_type() == 'text/html':
html_content = email_message.get_payload(decode=True).decode()
soup = BeautifulSoup(html_content, 'html.parser')
for img in soup.find_all('img'):
img.decompose()
for p in soup.find_all('p'):
if p.text.startswith("National Security Services Group ") or p.text.startswith(CONFIDENTIALITY_START):
p.decompose()
plain_content = soup.get_text()
plain_content = private_message_pattern.sub('', plain_content)
plain_content = restricted_data_pattern.sub('', plain_content)
content.append(plain_content)
# Create header in markdown format
header = "# Email Details\n\n"
header += f"| Field | Value |\n|-------|-------|\n"
header += f"| From | {sender} |\n"
header += f"| Subject | {subject} |\n"
header += f"| Date | {date} |\n"
header += f"| Message-ID | {message_id} |\n"
if attachments:
header += f"| Attachments | {', '.join(attachments)} |\n"
full_content = header + '\n\n## Email Body\n\n' + '\n'.join(content)
# Convert markdown to HTML with advanced styling
html_content = markdown.markdown(full_content, extensions=['tables', 'fenced_code', 'codehilite'])
"""Count the number of replies in an email body"""
def count_replies(body):
wrote_pattern = r"wrote:"
matches = re.findall(wrote_pattern, body, re.IGNORECASE)
return len(matches)
# Count replies
reply_count = count_replies('\n'.join(content))
return date, html_content, subject, reply_count
"""
Save email content as an HTML file with advanced styling
Args:
email_content (str): HTML content of the email
output_file (str): Path to save the HTML file
"""
def save_email_content(email_content, output_file):
# Add some advanced styling
styled_html = f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Email Content</title>
<style>
body {{
font-family: Arial, sans-serif;
line-height: 1.6;
color: #333;
max-width: 800px;
margin: 0 auto;
padding: 20px;
}}
h1, h2, h3 {{
color: #2c3e50;
}}
table {{
border-collapse: collapse;
width: 100%;
margin-bottom: 20px;
}}
th, td {{
border: 1px solid #ddd;
padding: 12px;
text-align: left;
}}
tr:nth-child(even) {{
background-color: #f2f2f2;
}}
th {{
background-color: #3498db;
color: white;
}}
pre {{
background-color: #f8f8f8;
border: 1px solid #ddd;
border-radius: 3px;
padding: 10px;
overflow-x: auto;
}}
code {{
font-family: Consolas, Monaco, 'Andale Mono', 'Ubuntu Mono', monospace;
font-size: 0.9em;
}}
blockquote {{
border-left: 4px solid #3498db;
padding-left: 15px;
color: #777;
font-style: italic;
}}
</style>
</head>
<body>
{email_content}
</body>
</html>
"""
# Validate HTML
parser = HTMLParser(strict=True)
dom = parse(styled_html)
with open(output_file, 'w', encoding='utf-8') as f:
f.write(styled_html)
"""
Save all emails to a single HTML file with advanced styling and an index
Args:
email_data (list): List of tuples containing email data
output_file (str): Path to save the combined HTML file
"""
def save_all_emails_to_one_file(email_data, output_file):
# Add some advanced styling
combined_html = f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Combined Emails</title>
<style>
body {{
font-family: Arial, sans-serif;
line-height: 1.6;
color: #333;
width: 100%;
margin: 0;
padding: 20px;
box-sizing: border-box;
}}
.container {{
max-width: 100%;
margin: 0 auto;
}}
h1, h2, h3 {{
color: #2c3e50;
}}
table {{
border-collapse: collapse;
width: 80%;
margin-bottom: 20px;
}}
th, td {{
border: 1px solid #ddd;
padding: 12px;
text-align: left;
}}
tr:nth-child(even) {{
background-color: #f2f2f2;
}}
th {{
background-color: #3498db;
color: white;
}}
pre {{
background-color: #f8f8f8;
border: 1px solid #ddd;
border-radius: 3px;
padding: 10px;
overflow-x: auto;
white-space: pre-wrap;
word-wrap: break-word;
}}
code {{
font-family: Consolas, Monaco, 'Andale Mono', 'Ubuntu Mono', monospace;
font-size: 0.9em;
}}
blockquote {{
border-left: 4px solid #3498db;
padding-left: 15px;
color: #777;
font-style: italic;
}}
a {{
color: #3498db;
text-decoration: none;
}}
a:hover {{
text-decoration: underline;
}}
</style>
</head>
<body>
<h1>Email Index</h1>
<table>
<tr><th>#</th><th>Date</th><th>Subject</th><th>EML File</th><th>Replies</th></tr>
"""
for idx, (date, filename, email_content, subject, reply_count) in enumerate(email_data, 1):
formatted_date = parsedate_to_datetime(date).strftime('%Y-%m-%d %H:%M:%S')
combined_html += f"<tr><td>{idx}</td><td>{formatted_date}</td><td><a href='#email-{idx}'>{subject}</a></td><td>{filename}</td><td>{reply_count}</td></tr>\n"
combined_html += "</table><hr>\n"
for idx, (date, filename, email_content, subject, reply_count) in enumerate(email_data, 1):
formatted_date = parsedate_to_datetime(date).strftime('%Y-%m-%d %H:%M:%S')
combined_html += f"<h2 id='email-{idx}'>{idx}. Email from {formatted_date}</h2>\n<hr>\n{email_content}\n<br><br>\n"
combined_html += """
</body>
</html>
"""
# Validate HTML
parser = HTMLParser(strict=True)
dom = parse(combined_html)
with open(output_file, 'w', encoding='utf-8') as f:
f.write(combined_html)
"""
Convert HTML file to Markdown using Pandoc
Args:
html_file (str): Path to the input HTML file
md_file (str): Path to save the output Markdown file
"""
def convert_to_markdown(html_file, md_file):
try:
subprocess.run(['pandoc', '-f', 'html', '-t', 'markdown', '-o', md_file, html_file], check=True)
print(f"Successfully converted {html_file} to {md_file}")
except subprocess.CalledProcessError as e:
print(f"Error converting {html_file} to Markdown: {e}")
except FileNotFoundError:
print("Error: Pandoc is not installed or not in the system PATH.")
print("Please install Pandoc and make sure it's accessible from the command line.")
print("You can install Pandoc using the following steps:")
print("1. For Ubuntu/Debian: sudo apt-get install pandoc")
print("2. For macOS with Homebrew: brew install pandoc")
print("3. For Windows: Download the installer from https://pandoc.org/installing.html")
print("After installation, restart your terminal or IDE to update the PATH.")
sys.exit(1)
"""
Convert HTML file to PDF using pisa (xhtml2pdf)
Args:
html_file (str): Path to the input HTML file
pdf_file (str): Path to save the output PDF file
"""
def convert_to_pdf(html_file, pdf_file):
with open(html_file, 'r', encoding='utf-8') as f:
html_content = f.read()
with open(pdf_file, 'wb') as f:
pisa.CreatePDF(html_content, dest=f)
print(f"Successfully converted {html_file} to PDF: {pdf_file}")
"""
Convert HTML file to plain text
Args:
html_file (str): Path to the input HTML file
txt_file (str): Path to save the output text file
"""
def convert_to_text(html_file, txt_file):
with open(html_file, 'r', encoding='utf-8') as f:
soup = BeautifulSoup(f, 'html.parser')
text_content = soup.get_text()
with open(txt_file, 'w', encoding='utf-8') as f:
f.write(text_content)
print(f"Successfully converted {html_file} to text: {txt_file}")
"""
Convert HTML file to JSON
Args:
html_file (str): Path to the input HTML file
json_file (str): Path to save the output JSON file
"""
def convert_to_json(html_file, json_file):
with open(html_file, 'r', encoding='utf-8') as f:
soup = BeautifulSoup(f, 'html.parser')
data = {
'title': soup.title.string if soup.title else '',
'body': soup.body.get_text() if soup.body else ''
}
with open(json_file, 'w', encoding='utf-8') as f:
json.dump(data, f, ensure_ascii=False, indent=4)
print(f"Successfully converted {html_file} to JSON: {json_file}")
if __name__ == "__main__":
eml_directory = os.path.join(BASE_DIRECTORY, EML_DIRECTORY)
html_output_directory = os.path.join(BASE_DIRECTORY, HTML_OUTPUT_DIRECTORY)
markdown_output_directory = os.path.join(BASE_DIRECTORY, MARKDOWN_OUTPUT_DIRECTORY)
pdf_output_directory = os.path.join(BASE_DIRECTORY, PDF_OUTPUT_DIRECTORY)
combined_output_directory = os.path.join(BASE_DIRECTORY, COMBINED_OUTPUT_DIRECTORY)
text_output_directory = os.path.join(BASE_DIRECTORY, TEXT_OUTPUT_DIRECTORY)
json_output_directory = os.path.join(BASE_DIRECTORY, JSON_OUTPUT_DIRECTORY)
# Create output directories if they don't exist
for directory in [html_output_directory, markdown_output_directory, pdf_output_directory,
combined_output_directory, text_output_directory, json_output_directory]:
os.makedirs(directory, exist_ok=True)
combined_output_file = os.path.join(combined_output_directory, "combined_emails.html")
combined_md_file = os.path.join(combined_output_directory, "combined_emails.md")
combined_pdf_file = os.path.join(combined_output_directory, "combined_emails.pdf")
combined_txt_file = os.path.join(combined_output_directory, "combined_emails.txt")
combined_json_file = os.path.join(combined_output_directory, "combined_emails.json")
email_data = []
for filename in os.listdir(eml_directory):
if filename.endswith(".eml"):
eml_file = os.path.join(eml_directory, filename)
date, email_content, subject, reply_count = extract_email_content(eml_file)
email_data.append((date, filename, email_content, subject, reply_count))
output_file = os.path.join(html_output_directory, os.path.splitext(filename)[0] + ".html")
save_email_content(email_content, output_file)
print(f"Saved content of {filename} to {output_file}")
# Sort emails by date
email_data.sort(key=lambda x: email.utils.parsedate_to_datetime(x[0]))
save_all_emails_to_one_file(email_data, combined_output_file)
print(f"Saved combined content to {combined_output_file}")
# Convert HTML files to other formats
for filename in os.listdir(html_output_directory):
if filename.endswith(".html"):
html_file = os.path.join(html_output_directory, filename)
base_name = os.path.splitext(filename)[0]
md_file = os.path.join(markdown_output_directory, base_name + ".md")
convert_to_markdown(html_file, md_file)
pdf_file = os.path.join(pdf_output_directory, base_name + ".pdf")
convert_to_pdf(html_file, pdf_file)
txt_file = os.path.join(text_output_directory, base_name + ".txt")
convert_to_text(html_file, txt_file)
json_file = os.path.join(json_output_directory, base_name + ".json")
convert_to_json(html_file, json_file)
# Convert combined HTML file to other formats
convert_to_markdown(combined_output_file, combined_md_file)
print(f"Converted combined HTML to Markdown: {combined_md_file}")
convert_to_pdf(combined_output_file, combined_pdf_file)
print(f"Converted combined HTML to PDF: {combined_pdf_file}")
convert_to_text(combined_output_file, combined_txt_file)
print(f"Converted combined HTML to text: {combined_txt_file}")
convert_to_json(combined_output_file, combined_json_file)
print(f"Converted combined HTML to JSON: {combined_json_file}")