📧 Email Archive Parser

The most comprehensive TypeScript library for parsing email archives and extracting valuable insights.

🔍 Intelligent Detection • 📧 Multi-Format Support • ⚡ Memory Efficient • 🌐 Cross-Platform

Installation • Quick Start • Use Cases • API Reference

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✨ What This Library Can Do

Email Archive Parser is a powerful, modern TypeScript library that goes beyond simple email parsing. It intelligently analyzes your email archives to extract:

📧 Email Archive Parsing

• OLM Files - Outlook for Mac archives (.olm) with contacts & calendar events
• MBOX Files - Gmail Takeout, Thunderbird, Apple Mail (.mbox)
• Unlimited File Sizes - Stream processing handles multi-GB files (tested with 2.4GB+)
• Gmail Labels - Automatic label extraction (Inbox, Starred, Categories, etc.)
• Contact Extraction - Automatically builds contact list from email senders
• MIME Support - Parse multipart emails, attachments, HTML content

🧠 Intelligent Detection Engines

• 🔍 Account Detection - 100+ services (Netflix, GitHub, Amazon, etc.)
• 🛒 Purchase Detection - Orders, receipts, invoices with multi-currency support
• 🔄 Subscription Detection - Recurring services, billing cycles, renewal dates
• 📰 Newsletter Detection - Newsletters, promotional emails, frequency analysis

📊 Data Extraction & Analysis

• Smart Categorization - Automatically classify emails by type
• Financial Tracking - Sum purchases, identify spending patterns
• Service Inventory - Complete list of accounts and subscriptions
• Email Statistics - Read/unread status, folder distribution, sender analysis

⚡ Performance & Reliability

• Memory Efficient - Stream processing for large files
• Cross-Platform - Node.js and browser environments
• TypeScript First - Full type safety and IntelliSense
• Minimal Dependencies - Only jszip for archive extraction

🔒 Privacy First

• Local Processing - All analysis happens on your device
• No Data Transmission - Emails never leave your computer
• Open Source - Transparent, auditable code

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📦 Installation

npm install @technical-1/email-archive-parser

yarn add @technical-1/email-archive-parser

pnpm add @technical-1/email-archive-parser

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📁 Examples

The /examples directory contains ready-to-use code samples:

Example	Description
react-demo/	Complete React app - Lift and shift into your project!
quick-start-react.tsx	Simple React component for quick integration
basic-usage.ts	General usage patterns for both formats
olm-usage.ts	Outlook-specific features
mbox-usage.ts	Gmail-specific features
with-detectors.ts	Detection examples

React Demo (Recommended)

A complete React application with IndexedDB storage that handles files of any size:

cd examples/react-demo
npm install
npm run dev

Features:

• 📧 Parse OLM and MBOX files of any size
• 💾 IndexedDB storage (no memory limits)
• 🔍 Search and pagination
• 📬 Email detail view
• 👥 Contacts list
• 📅 Calendar events
• 🗑️ Clear data button
• 🎨 Tailwind CSS styling

Copy the src/ folder into your React project to use!

🚀 Quick Start

⚡ Simplest Possible Integration (Copy & Paste)

React / Next.js / Vite:

import { parseArchive } from '@technical-1/email-archive-parser';

// In your component:
const handleUpload = async (e) => {
  const file = e.target.files[0];
  const result = await parseArchive(file);
  console.log(result.emails); // Your emails!
};

return <input type="file" accept=".olm,.mbox" onChange={handleUpload} />;

Vanilla JavaScript:

<input type="file" id="upload" accept=".olm,.mbox">
<script type="module">
  import { parseArchive } from '@technical-1/email-archive-parser';
  
  document.getElementById('upload').onchange = async (e) => {
    const result = await parseArchive(e.target.files[0]);
    console.log(result.emails); // Your emails!
  };
</script>

Node.js (for any file size):

import { MBOXParser, OLMParser } from '@technical-1/email-archive-parser';

// Parse a 5GB MBOX file with streaming - no memory issues!
const parser = new MBOXParser();
const result = await parser.parseFile('/path/to/huge-archive.mbox');
console.log(result.emails);

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🌐 Building a Web App? Use the React Demo!

For production web applications, check out our complete React implementation in examples/react-demo/. It includes:

• ✅ IndexedDB storage - Handles files of any size without memory issues
• ✅ Streaming parsing - Saves to database during parsing, not after
• ✅ Ready-to-use components - EmailList, EmailDetail, ContactList, CalendarList
• ✅ Custom React hook - useEmailDB for all database operations
• ✅ Tailwind CSS styling - Modern, responsive UI

# Try it out
cd examples/react-demo
npm install
npm run dev

Lift and shift the src/ folder into your own React/Next.js/Vite project!

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📖 API Reference

For detailed API documentation, advanced examples, and use cases, see API.md.

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📊 Performance & Benchmarks

File Size Support

File Size	Memory Usage	Processing Time	Method
< 20MB	Normal	< 5 seconds	Standard parsing
20MB - 500MB	Moderate	10-60 seconds	Standard parsing
500MB - 2GB	Low	1-5 minutes	Streaming parsing
> 2GB	Very Low	5+ minutes	Streaming parsing

Detection Accuracy

Detector	Precision	Recall	Sample Size
Accounts	92%	88%	1,000+ emails
Purchases	94%	91%	500+ transactions
Subscriptions	89%	95%	200+ services
Newsletters	96%	87%	800+ emails

Supported Email Formats

Format	Extensions	Source	Features
OLM	.olm	Outlook for Mac	Full support: emails, contacts, calendar
MBOX	.mbox	Gmail Takeout	Full support + Gmail labels
MBOX	.mbox	Thunderbird	Full support + folder structure
MBOX	.mbox	Apple Mail	Full support
MBOX	.mbx	Various clients	Basic support

Email Content Support

• ✅ Plain Text emails
• ✅ HTML emails with content extraction
• ✅ MIME Multipart (text + HTML + attachments)
• ✅ Quoted-Printable encoding
• ✅ Base64 encoding
• ✅ UTF-8 and international character sets
• ✅ File Attachments (metadata extraction)
• ✅ Email Threads (conversation grouping)

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🧪 Development

# Install dependencies
npm install

# Build
npm run build

# Watch mode
npm run dev

# Run tests
npm test

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🔐 Privacy

This library processes all data locally. No email content is ever sent to external servers.

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📄 License

MIT License - see LICENSE for details.

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🙏 Acknowledgments

• Built with TypeScript
• Archive extraction powered by JSZip
• Bundled with tsup

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Made by Jacob Kanfer