Extract every valid email from text, HTML or CSV into a deduplicated list grouped by domain. Filter, then export as CSV or JSON. Free and private.

Who Uses Email Extractor

Sales teams extracting prospect email addresses from conference attendee lists and business directories. Recruiters pulling candidate contact details from bulk resume downloads. Event organizers compiling attendee emails from registration exports for follow-up campaigns. Researchers gathering author contact information from published academic papers and conference proceedings.

Email Extractor Features

Smart Extraction: Finds email addresses in any text with pattern matching
Auto Dedup + Filter: Removes duplicates, filters test/fake emails, classifies professional vs personal
File Upload: Upload .txt, .csv, .html, .log files to extract emails from documents
Multi-Format Export: Export as CSV, JSON, TXT, or vCard (.vcf) for contacts import
GDPR Notice: Built-in privacy warning for GDPR/CAN-SPAM compliance

How to Use Email Extractor

Extract emails in three simple steps

Paste or Upload: Paste text or upload a file containing email addresses
Extract & Filter: Emails are found, deduplicated, validated, and classified instantly
Export: Copy all, download as CSV/JSON/TXT, or export as vCard

Frequently Asked Questions

Is the Email Extractor free?

Yes, extract unlimited emails from text or files (up to 10MB each) with no signup. Deduplication, professional/personal classification, and export to CSV, JSON, TXT, or vCard are all included free.

Can I upload files to extract emails?

Yes! Upload .txt, .csv, .html, .log, .md, .json, or .xml files up to 10MB. Emails are extracted from the file content.

Does it classify professional vs personal emails?

Yes, emails from Gmail, Yahoo, Hotmail etc. are tagged as 'Personal'. Company domain emails are tagged as 'Professional'. You can filter to show only professional emails.

What is the test email filter?

It filters out common test/fake emails like test@example.com, admin@example.com, foo@bar.com - useful when extracting from code or documentation.

Can I export as vCard?

Yes! Export valid emails as a .vcf vCard file that you can import directly into Google Contacts, Outlook, or your phone.

Is this GDPR compliant?

The tool includes a privacy notice reminding you about GDPR/CAN-SPAM compliance. We don't store or transmit any data - but ensure you have consent before using extracted emails for marketing.

Related: email extractor, extract emails from text, email finder tool, bulk email extractor, email list extractor, email extractor csv

3-step workflow · seconds

A clean email list in three steps

Paste, filter, export. The list updates as you type.

STEP 01
Paste or add a file
Any text: chat exports, web page source, CSV rows, logs or notes.
Files up to 10 MB
STEP 02
Filter the list
Hide known test addresses and free-mail inboxes, or search by domain.
Duplicates removed
STEP 03
Copy or export
Copy them all, or download CSV, JSON, TXT or a vCard file.
Four formats

Guide

How to use this email extractor

It finds anything shaped like an address. Whether you may email it is a separate question.

Updated for 2026: grouped by domain, with a domain search

1
Paste the text
Copy from anywhere and paste. Addresses inside angle brackets, commas or HTML are found too.
2
Add files
Upload a .txt, .csv, .html, .log, .md, .json or .xml file. Each new file is added below what is already there.
3
Check the counts
Duplicates are dropped whatever their case. In "Asha@Example.com, asha@example.com" only the first stays, so 1 is removed.
4
Export what you need
CSV for spreadsheets, JSON for code, TXT for a plain list, vCard for a contacts app.

Matching

What the extractor finds, and what it misses

A practical pattern, not the full email standard.

Found

Everyday addresses

Letters, digits, dots, plus signs, hyphens and underscores before the @, and a domain ending in two or more letters.

name+tag@site.com
first.last@co.in
Subdomains too

Missed

Unusual or hidden

Addresses in non-Latin scripts, quoted names, and ones written as name [at] site [dot] com are not matched.

Rewrite [at] as @ first
No international scripts
No quoted local parts

Checked

Format check

Each match is checked again with a stricter pattern. Odd ones get a red mark and are left out of vCard export.

Green: tidy format
Red: odd start or end
Not a mailbox check

Tagged

Test and personal

12 known test addresses and 14 free-mail domains are tagged so you can filter them.

test@test.com, foo@bar.com
Gmail, Yahoo, Outlook
Rediffmail and more

Exports

Four ways to take the list with you

Every export follows the filters you have on.

CSV

For spreadsheets

One row per address with its domain, format check and type.

email, domain, valid, type
Opens in Excel and Sheets
Personal or professional

JSON

For code

The same four fields as an array, ready to load in a script.

Indented, readable
One object per address
UTF-8 text

TXT · Copy

A plain list

One address per line, for pasting into a mail client or another tool.

Copy all in one tap
Or download emails.txt
No extra fields

vCard

For a contacts app

A vCard 3.0 card per valid address, named from the part before the @.

Valid formats only
contacts.vcf
Import into your phone

Guide

Who cleans up email lists

Same tool, four very different jobs.

Sales teams

Your own contacts

Pull addresses out of meeting notes and old threads with people who already deal with you.

Filter: Professional only

Recruiters

Applications

Collect candidate addresses from applications sent to you, then export to your tracker.

Export: CSV

Event organisers

Registrations

Merge sign-up exports from several forms into one deduplicated list of people who registered.

Export: TXT or CSV

Researchers

Data cleaning

Find addresses inside datasets so they can be removed or masked before sharing.

Export: JSON

Rules

Consent rules before you hit send

A short summary, not legal advice. Check the law that applies to you.

EU: GDPR

An email address is personal data. Using it needs a lawful basis under Article 6, such as consent.

Know why you hold each address
Keep a record of consent
Delete on request

US: CAN-SPAM

The FTC's guide for commercial email asks for:

Honest sender and subject lines
A valid postal address
A working way to opt out
Opt-outs honoured within 10 business days

India: DPDP Act

The Digital Personal Data Protection Act, 2023 allows processing for a lawful purpose with consent, or for certain legitimate uses.

Scraped lists without consent
Hiding who is writing
Ignoring requests to stop

Guide

Keeping a list clean over time

An extracted list goes stale. A few habits keep it useful.

1
Note where each list came from
Keep the source with the export, so you can answer if someone asks how you got their address.
2
Merge, then dedupe
Paste several exports into the box together. Duplicates across them are removed in one go.
3
Remove opt-outs
Delete anyone who asked to be removed before every send, not just once.
4
Check addresses before a big send
A tidy format doesn't mean the inbox exists. Your email service's bounce reports tell you which ones fail.

Compare

Export formats compared

Pick the one that matches where the list goes next.

Question	CSV	JSON	TXT	vCard
Opens in a spreadsheet	✓ Yes	Import needed	✓ One column	✗ No
Keeps domain and type	✓ Yes	✓ Yes	✗ No	✗ No
Imports to contacts	Some apps	✗ No	✗ No	✓ Yes
Includes odd formats	✓ Yes	✓ Yes	✓ Yes	Valid only
File name	emails.csv	emails.json	emails.txt	contacts.vcf

Pro tips

Pro tips for extracting emails

Small steps that give a cleaner list.

Use page source

For a web page, paste its HTML source. Addresses inside mailto: links are found.

Fix [at] first

Replace ' [at] ' with @ and ' [dot] ' with . before pasting.

Hide test data

Turn on Exclude test emails when the text comes from a demo or staging system.

Sort by company

Domain groups show which organisations appear most.

Copy one

Each address has its own copy button for quick use.

Append files

Add several files one by one; the list merges and dedupes them.

Mask before sharing

Use the list to find addresses you need to remove from a dataset.

Ask first

Only email people who expect to hear from you.

Pro tip: extracting is not permission

Finding an address in a document does not mean its owner agreed to hear from you. Use extracted lists for people you already work with, and ask before adding anyone to marketing.

Which filter?

Keep personal addresses, or work only?

Both are useful. It depends who you are writing to.

Business contacts

@companywork domains

Professional only

Hides free-mail inboxes so the list shows organisations. Good for B2B follow-ups.

Grouped by company

Everyone

@gmailand work domains

All addresses

Keeps personal inboxes. Right for event sign-ups, students and customers.

Nobody left out

Verdict: use Professional only for company contacts and keep all addresses for people who signed up themselves.

Use cases

Who uses this email extractor

Six everyday clean-up jobs.

Event teams

Merge registrations from several forms.

Account managers

Collect client contacts from old threads.

Recruiters

Gather applicant addresses into a tracker.

Data analysts

Find personal data before sharing a file.

Admins

List who from each company is on a thread.

Support teams

Pull contacts out of ticket exports.

Need to tidy the text first? Try the text formatter, or count what you have with the word counter.

FAQ

Frequently asked questions

Quick answers about what is found, exports and privacy.

Is the Email Extractor free?

Yes, extract unlimited emails from text or files (up to 10MB each) with no signup. Deduplication, professional/personal classification, and export to CSV, JSON, TXT, or vCard are all included free.

Can I upload files to extract emails?

Yes! Upload .txt, .csv, .html, .log, .md, .json, or .xml files up to 10MB. Emails are extracted from the file content.

Does it classify professional vs personal emails?

Yes, emails from Gmail, Yahoo, Hotmail etc. are tagged as 'Personal'. Company domain emails are tagged as 'Professional'. You can filter to show only professional emails.

What is the test email filter?

It filters out common test/fake emails like test@example.com, admin@example.com, foo@bar.com - useful when extracting from code or documentation.

Can I export as vCard?

Yes! Export valid emails as a .vcf vCard file that you can import directly into Google Contacts, Outlook, or your phone.

Is this GDPR compliant?

The tool includes a privacy notice reminding you about GDPR/CAN-SPAM compliance. We don't store or transmit any data - but ensure you have consent before using extracted emails for marketing.

Reviews

What people say

Reviews from people who used this tool.

Loading reviews…

Presets

Popular presets

Jump to a version of this tool already set up for a specific need.

Who Uses Email Extractor

Email Extractor Features

Smart Extraction: Finds email addresses in any text with pattern matching

Auto Dedup + Filter: Removes duplicates, filters test/fake emails, classifies professional vs personal

File Upload: Upload .txt, .csv, .html, .log files to extract emails from documents

Multi-Format Export: Export as CSV, JSON, TXT, or vCard (.vcf) for contacts import

GDPR Notice: Built-in privacy warning for GDPR/CAN-SPAM compliance

Frequently Asked Questions

Is the Email Extractor free?

Yes, extract unlimited emails from text or files (up to 10MB each) with no signup. Deduplication, professional/personal classification, and export to CSV, JSON, TXT, or vCard are all included free.

Can I upload files to extract emails?

Yes! Upload .txt, .csv, .html, .log, .md, .json, or .xml files up to 10MB. Emails are extracted from the file content.

Does it classify professional vs personal emails?

Yes, emails from Gmail, Yahoo, Hotmail etc. are tagged as 'Personal'. Company domain emails are tagged as 'Professional'. You can filter to show only professional emails.

What is the test email filter?

It filters out common test/fake emails like test@example.com, admin@example.com, foo@bar.com - useful when extracting from code or documentation.

Can I export as vCard?

Yes! Export valid emails as a .vcf vCard file that you can import directly into Google Contacts, Outlook, or your phone.

Is this GDPR compliant?

The tool includes a privacy notice reminding you about GDPR/CAN-SPAM compliance. We don't store or transmit any data - but ensure you have consent before using extracted emails for marketing.

Question

CSV

JSON

TXT

vCard

Opens in a spreadsheet

✓ Yes

Import needed

✓ One column

✗ No

Keeps domain and type

✓ Yes

✗ No

Imports to contacts

Some apps

✗ No

✓ Yes

Includes odd formats

✓ Yes

Valid only

File name

emails.csv

emails.json

emails.txt

contacts.vcf

Text tool · Free

Email Extractor: Clean Address Lists from Any Text

Paste text or add a file and get every email address, deduplicated, checked and grouped by domain, ready to copy or export. Read in your browser.

Email Studio

Paste or upload · dedupe · group · export

Text never uploaded Free · No sign-up

Source text

Paste text or add a file

Files: .txt, .csv, .html, .log, .md, .json, .xml, up to 10 MB, read as plain text.

Filters

Exclude test emailstest@test.com, foo@bar.com and similar12 knownProfessional onlyHide Gmail, Yahoo, Outlook, iCloud and other free mail14 domains

Emails found

0Total

0Valid

0Work

0Personal

Paste text or upload a file. Every address appears here, grouped by domain.

vCard exports only addresses with a valid format (0), for Outlook, Google Contacts or Apple Contacts.

No sign-up needed Updates as you type Grouped by domain Nothing uploaded

File types: 7
File size, max: 10 MB
Export formats: 4
Uploads: 0

Nothing uploadedText and files are read in your browser. The addresses you find are never sent anywhere.

Clean listsDuplicates removed regardless of case, with filters for test and free-mail addresses.

Grouped by domainSee which companies the addresses belong to, and search the list by domain.

Four exportsCopy all, or download CSV, JSON, TXT or a vCard file for your contacts app.

What's next

More text tools

Tools that pick up where this one leaves off.

Send bulk messagesUse the extracted contacts for templated outreach · WhatsApp Bulk Message Formatter

Email Extractor - Free Online Tool

A clean email list in three steps

Paste or add a file

Filter the list

Copy or export

How to use this email extractor

Paste the text

Add files

Check the counts

Export what you need

What the extractor finds, and what it misses

Everyday addresses

Unusual or hidden

Format check

Test and personal

Four ways to take the list with you

For spreadsheets

For code

A plain list

For a contacts app

Who cleans up email lists

Sales teams

Recruiters

Event organisers

Researchers

Consent rules before you hit send

EU: GDPR

US: CAN-SPAM

India: DPDP Act

Keeping a list clean over time

Note where each list came from

Merge, then dedupe

Remove opt-outs

Check addresses before a big send

Export formats compared

Pro tips for extracting emails

Use page source

Fix [at] first

Hide test data

Sort by company

Copy one

Append files

Mask before sharing

Ask first

Keep personal addresses, or work only?

Professional only

All addresses

Who uses this email extractor

Event teams

Account managers

Recruiters

Data analysts

Admins

Support teams

Frequently asked questions

What people say

Popular presets

More free text tools

Email Extractor - Free Online Tool

Email Studio

Source text

Filters

Emails found

More text tools

A clean email list in three steps

Paste or add a file

Filter the list

Copy or export

How to use this email extractor

Paste the text

Add files

Check the counts

Export what you need

What the extractor finds, and what it misses

Everyday addresses

Unusual or hidden

Format check

Test and personal

Four ways to take the list with you

For spreadsheets