Extract Email Addresses
📊 Domain Breakdown
No email addresses found in the text.
Make sure the text contains valid email formats like [email protected]
What Is an Email Address Extractor?
An email address extractor is a tool that scans text and finds all email addresses it contains. It uses pattern matching to identify the standard email format — [email protected] — and pulls out every match. This tool processes your text entirely in your browser and returns a deduplicated, organized list that you can copy or export.
When to Use This Tool
- Processing contact lists — Extract emails from documents, spreadsheets, or database exports
- Cleaning up data — Remove duplicates and organize addresses by domain
- Parsing email threads — Pull addresses from forwarded messages or mailing list archives
- Web research — Extract emails from copied web page content
- Data migration — Pull email addresses from legacy formats or plain text files
- Lead organization — Group extracted addresses by company domain
How Email Pattern Matching Works
The extractor uses a regular expression (regex) pattern that matches the standard email format defined by internet standards. An email address has two parts separated by @:
- Local part (before @): The mailbox name — can contain letters, numbers, dots, plus signs, hyphens, and underscores
- Domain part (after @): The mail server — must have at least one dot and end with a valid top-level domain
Patterns the Extractor Matches
| Example | Why It Matches |
|---|---|
[email protected] | Standard format |
[email protected] | Dots in local part |
[email protected] | Plus addressing (for filtering) |
[email protected] | Subdomain with country-code TLD |
[email protected] | Modern short TLD |
[email protected] | Long TLD (handles any length) |
What It Does Not Match
- Obfuscated addresses:
user [at] domain [dot] com— requires manual preprocessing - Quoted local parts:
"spaces here"@example.com— technically valid but extremely rare - IP literal domains:
user@[192.168.1.1]— valid per RFC but almost never seen
For nearly all practical use cases, the standard pattern captures every real email address in your text.
Privacy & Security
All processing happens in your browser. Your text is never sent to any server. The JavaScript code runs locally on your device, which means:
- No data transmission — you can verify with your browser's network inspector
- No server-side storage — nothing is logged or saved
- Works offline — once the page loads, extraction works without an internet connection
This tool extracts text that matches the email pattern. It does not verify whether addresses exist, check if they can receive mail, or validate against spam lists. For deliverability verification, you would need a separate validation service.
Frequently Asked Questions
How does this email extractor work?
The tool scans your text using a regex pattern that matches the standard email format: [email protected]. It finds all matches, removes duplicates if selected, and displays the results grouped by domain. All processing happens in your browser — no text is sent to any server.
What email formats does this tool recognize?
The extractor matches standard email addresses including those with dots ([email protected]), plus signs ([email protected]), hyphens, and underscores in the local part. It handles subdomains ([email protected]) and modern TLDs of any length (.photography, .international).
Can I extract emails from a PDF?
Yes, if the PDF contains selectable text. Copy the text from the PDF (Ctrl+A, Ctrl+C) and paste it into the extractor. For scanned image-based PDFs, you would need to run OCR (optical character recognition) first to convert the image to text.
How do I extract emails from a web page?
Select all the text on the page (Ctrl+A), copy it (Ctrl+C), and paste it into the extractor. Alternatively, view the page source (Ctrl+U) and copy the HTML if you want to find emails in code, scripts, or metadata.
What does the domain breakdown show?
After extraction, the tool groups emails by their domain (the part after @) and shows how many addresses come from each domain. This helps identify which organizations or email providers appear most frequently in your data.
Does this tool verify if emails are real?
No. The extractor finds text that matches the email address pattern. It does not verify whether the mailbox exists, whether the domain has mail servers, or whether the address can receive messages. For validation, you would need a dedicated verification service.
Can it find obfuscated emails like 'user [at] domain [dot] com'?
No. The tool matches standard email format with the @ symbol and dots. Obfuscated addresses written as 'user [at] domain [dot] com' or 'user(at)domain(dot)com' will not be detected. You would need to use find-and-replace to normalize these patterns first.
What is plus addressing?
Plus addressing (e.g., [email protected]) lets you create variations of your email address that all deliver to the same inbox. Gmail, Outlook, and many other providers support this. The extractor captures these addresses, and you can use the lowercase option to help with deduplication.
Are email addresses case-sensitive?
The domain part is always case-insensitive (GMAIL.COM = gmail.com). The local part is technically case-sensitive per the email standard, but virtually all providers treat it as case-insensitive. The 'Convert to lowercase' option normalizes everything for consistent deduplication.
How do I export the extracted emails?
The tool offers four export options: Copy All (comma-separated list), Copy as CSV (with header row), One Per Line (newline-separated), and Download CSV (saves a file to your computer). Choose the format that works best for your next step.
Is there a limit to how much text I can paste?
There is no hard limit since all processing runs in your browser. The practical limit depends on your device's memory and browser capabilities. Most users can process documents with thousands of email addresses without any issues.
What is the regex pattern used for extraction?
The tool uses a pattern similar to: [A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,} — this matches a local part (letters, numbers, dots, plus signs, etc.), followed by @, followed by a domain with at least one dot and a TLD of two or more letters. It handles 99%+ of real-world email addresses.
Related Tools & Resources
- Regex Tester — Test and debug your own email patterns
- Word Frequency Counter — Analyze text for common terms
- Text Diff Tool — Compare two versions of your extracted lists
- Whitespace Cleaner — Clean up text before extraction
- How to Extract Email Addresses from Text — In-depth guide covering regex patterns, edge cases, and command-line methods
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Email Address Extractor FAQ
How does this email extractor work?
The tool scans your text using a regex pattern that matches the standard email format: [email protected]. It finds all matches, removes duplicates if selected, and displays the results grouped by domain. All processing happens in your browser — no text is sent to any server.
What email formats does this tool recognize?
The extractor matches standard email addresses including those with dots ([email protected]), plus signs ([email protected]), hyphens, and underscores in the local part. It handles subdomains ([email protected]) and modern TLDs of any length (.photography, .international).
Is my text sent to a server?
No. All extraction happens entirely in your browser using JavaScript. Your text never leaves your device. You can verify this by checking your browser's network inspector — no data is transmitted when you paste or extract.
Can I extract emails from a PDF?
Yes, if the PDF contains selectable text. Copy the text from the PDF (Ctrl+A, Ctrl+C) and paste it into the extractor. For scanned image-based PDFs, you would need to run OCR first to convert the image to text.
How do I extract emails from a web page?
Select all the text on the page (Ctrl+A), copy it (Ctrl+C), and paste it into the extractor. Alternatively, view the page source (Ctrl+U) and copy the HTML if you want to find emails in code, scripts, or metadata.
What does 'Remove duplicates' do?
When enabled, the tool keeps only unique email addresses. If the same email appears multiple times in your text, it will show up once in the results. Duplicates are counted and displayed in the summary.
What is the domain breakdown feature?
After extraction, the tool groups emails by their domain (the part after @) and shows how many addresses come from each domain. This helps identify which organizations or providers appear most frequently in your data.
Does this tool validate if emails are real?
No. The extractor finds text that matches the email address pattern. It does not verify whether the mailbox exists, whether the domain is real, or whether the address can receive mail. For validation, you would need a separate verification service.
Can it find obfuscated emails like 'user [at] domain [dot] com'?
No. The tool matches standard email format with the @ symbol and dots. Obfuscated addresses written as 'user [at] domain [dot] com' or 'user(at)domain(dot)com' will not be detected. You would need to manually search and replace these patterns first.
What is the maximum amount of text I can paste?
There is no hard limit since processing runs in your browser. The practical limit depends on your device's memory. Most users can process documents with tens of thousands of email addresses without issues.
How do I export the extracted emails?
The tool offers four export options: Copy All (comma-separated), Copy as CSV (with header row), One Per Line (newline-separated), and Download CSV (saves a file). Choose the format that works best for your next step.
Are email addresses case-sensitive?
The domain part of an email address is always case-insensitive. The local part (before @) is technically case-sensitive per the email standard, but virtually all providers treat it as case-insensitive. The 'Convert to lowercase' option normalizes all addresses for easier deduplication.