YunoNext

Free / No sign-up / Local-only processing

Extract emails from text, in seconds.

Paste a thread or drop a text file. Get a clean, deduplicated list you can filter, copy, and export — processed locally in your browser.

Email extractor tool

How it works

Privacy: extraction runs entirely in your browser. Your text and files are never sent to a server.

No uploads

Content stays in your tab.

No account

Open the page and use it.

No ads

Just the tool and its output.

Free to use

No quota or paywall.

How it works

Three steps from messy input to a usable list.

Whether you are working with an email thread, a copied spreadsheet column, or a saved page, the process takes seconds. There is no import wizard or processing queue; the tool is designed around the way messy contact data actually arrives.

Before

Raw input
  1. From: Priya Shah <priya.shah@acme.com>
  2. To: dev@acme.com
  3. Cc: PRIYA.SHAH@acme.com
  4. Bcc: sales [at] northwind [dot] io
  5. Attachments: logo@2x.png
  6. Log: admin@acme.com - 200 OK
  7. Unsubscribe: hello@example.org
  8. Duplicate: hello@example.org

Threads, CSV columns, HTML source, and saved email - exactly as they arrive.

After

Clean list
  • priya.shah@acme.com
  • dev@acme.com
  • sales@northwind.io
  • admin@acme.com
  • hello@example.org
7 matches5 unique2 duplicates removed

Same pasted thread. Decoded, deduplicated, and ready to export.

0 uploads
  1. 01

    Add your text or files

    Paste an email thread, spreadsheet column, or page source. You can also drop up to 10 text-based files, 5 MB each, to extract multiple email addresses from text in one run.

  2. 02

    Choose how clean you want it

    Remove duplicates and lowercase addresses by default. Turn on disguise decoding for [at] and [dot] patterns, or keep every occurrence.

  3. 03

    Review, filter, and export

    Search, sort, group by domain, and remove rows you do not need. Copy the visible list or download it as TXT or CSV.

Features

A small tool that respects the data you feed it.

Most email extractors ask you to upload a list, sign up, or accept a wall of ads. This free email extraction tool does the work in the browser and stays out of the way.

01

Your data never leaves the tab

Parsing happens on your device. There is no upload endpoint, no processing queue, and no server-side copy of your list.

02

Clean output, not a regex dump

File-like matches such as logo@2x.png are rejected, casing can be normalized, and duplicates are counted instead of silently dropped.

03

Duplicates you can see

The summary separates total matches, unique addresses, and duplicates. Toggle deduplication off when you need every occurrence.

04

Domain-level control

See the busiest domains, filter with exact domains or wildcards like *.edu, and exclude consumer domains in one step.

05

Exports match your view

Search and domain filters apply to copy and download, so the TXT or CSV you get contains exactly the rows you reviewed.

06

No ads, accounts, or paywalls

The page is the tool. There is no sign-up wall, no upload quota, and no advertising script competing for space or attention.

Use cases

For lists that arrive as text, not clean tables.

If you can select it or save it as a text-based file, you can extract email addresses from text, CRM exports, and saved pages here. The work stays in your browser.

Two professionals shaking hands after a meeting

Recruiting and sales

Turn a pasted thread or exported CRM column into a deduplicated contact list, then isolate the domains you actually care about.

A team reviewing campaign results together in an office

Marketing and research

Pull addresses out of campaign notes, event lists, or HTML exports without sending prospect data to another SaaS tool.

A laptop displaying source code on a desk

Development and QA

Check what addresses appear in fixtures, logs, email templates, or contact files and export a clean set for testing.

Local processing protects where the data goes, not whether you are allowed to use it. Only process contact data you have permission to use, and follow the anti-spam and privacy laws that apply to you.

Supported files

Text-based files, read as plain text.

Upload a file or paste its contents. Files are decoded as text and never executed or rendered, including saved HTML and email source.

Plain text

  • TXT
  • TEXT
  • LOG
  • MD
  • MARKDOWN

Notes, logs, documentation, exported columns, and any text you paste directly into the editor.

Structured data

  • CSV
  • TSV
  • JSON
  • XML

CRM exports, spreadsheet data, API responses, backups, and configuration files. Read as text, not executed.

Web and email

  • HTML
  • HTM
  • EML
  • VCF

Saved pages, email source, and contact cards. HTML is never rendered, so embedded scripts do not run.

Input limit
5,000,000 chars
Per file
5 MB
Files per run
10
Matches
100,000

Guide

Extract emails from text: online, files, and Python.

Use the same browser tool for a single copy-paste job or a list spread across several files. These are the three most common ways people extract email addresses from text.

Extract emails from text online

A free online email extraction tool is the fastest option when you do not want to install software or write a script. Paste your text and select Extract emails. This free email extractor from text online runs locally, so your source is never uploaded, and it needs no account.

Extract emails from a text file

You can extract emails from a text file in formats such as TXT, CSV, TSV, JSON, XML, HTML, Markdown, LOG, EML, and VCF. Add up to 10 files per run at 5 MB each. Files are read as plain text and never executed or rendered. Add several at once when you need a bulk email extractor for a folder of exports, or check the supported file formats above.

Extract emails from text with Python

If you work in Python, a short regular expression can find addresses in a text file. This example reads the file, finds email-shaped strings, and removes duplicates with set():

import re

pattern = re.compile(
    r"[A-Za-z0-9._%+-]+@"
    r"[A-Za-z0-9.-]+\.[A-Za-z]{2,}"
)

with open(
    "contacts.txt", encoding="utf-8"
) as file:
    text = file.read()

emails = sorted(
    set(pattern.findall(text))
)
print(emails)

A basic regex is a useful email address extractor, but it can match file names such as logo@2x.png and does not decode [at] or [dot]. The browser tool applies format checks and optional decoding when you need a clean list without maintaining a script.

On-device path

Local only

  1. Your input

    Pasted text or up to 10 text-based files.

  2. This browser tab

    Parsed with browser APIs or a local Web Worker.

    No upload

  3. Clean output

    Copy, TXT, or CSV - filtered exactly as reviewed.

0 bytes uploaded. There is no server-side copy of your text or files.

Only the page's own HTML, CSS, JavaScript, fonts, and icon are requested.

Privacy

Your list should not become someone else's data.

The extractor reads text with browser APIs and matches addresses in the page or a local Web Worker. There is no content upload step and no analytics script.

Stays in your tab

  • Pasted text and uploaded file contents
  • Extracted addresses and domain counts
  • Search, sort, and filter state

Not stored

  • Nothing after you close the tab unless optional on-device history is enabled
  • No cookies for tracking or advertising
  • No analytics or ad scripts on this page

Loading the page fetches its HTML, CSS, JavaScript, fonts, and icon. Those requests do not contain your text or files. As with any website, the hosting provider may process standard connection logs for the page request itself; the tool does not send your content anywhere.

Limitations

Useful, with clear edges.

No tool is the right fit for every job. These are the boundaries you should know before relying on the output.

  • 01JavaScript must be enabled. All extraction happens in your browser, so there is no server fallback.
  • 02The tool validates format, not deliverability. It cannot tell you whether a mailbox exists or will accept mail.
  • 03It does not crawl URLs or websites. Add the text or a saved file instead.
  • 04Disguise decoding covers common [at] and [dot] patterns, not every custom obfuscation scheme.
  • 05Inputs are capped at 5,000,000 characters, files at 5 MB each, 10 files per run, and 100,000 matches per extraction.
  • 06Results are kept in the current tab only. Reloading or closing the page clears them.
  • 07It is an email finder from text, not a contact discovery service. Only addresses already present in your source are returned.

FAQ

Questions people ask before pasting a list.

Still unsure about a limit or a result? Start with the answer here, then try the tool with a small sample.

Is this email extractor really free?

Yes. You can extract emails from text free of charge, with no account, trial, watermark, or usage limit. There are no ads, and no premium version is needed to copy or download your results.

Are my emails or files uploaded to a server?

No. The tool reads pasted text and files in your browser and extracts addresses locally. Your content is never sent to YunoNext or a third party. The page loads its own assets, but your text and files are not part of any network request.

What file types can I use?

You can paste text or upload TXT, TEXT, CSV, TSV, HTML, HTM, JSON, Markdown, LOG, XML, EML, and VCF files. Each file can be up to 5 MB, with up to 10 files per run. That covers most ways to extract emails from a text file, spreadsheet export, or saved email source.

Does the extractor remove duplicates?

Yes, duplicate removal is on by default and is case-insensitive. The results panel shows total matches, unique addresses, duplicates, and domains. You can turn deduplication off to inspect every occurrence.

Can it find obfuscated addresses like name [at] domain [dot] com?

There is an optional "Decode [at] / [dot]" setting. It converts common patterns such as name [at] example [dot] com, name(at)example.com, and name at example dot com before matching. Unusual spacing or custom substitutions may still be missed.

Does it verify that an email address is valid or deliverable?

No. The tool checks format, length, domain shape, and filters out file-like matches such as image names. It does not run SMTP checks or confirm that a mailbox exists. Treat exported lists as unverified.

Can I export the results?

Yes. You can copy all visible results, download a plain-text file with one address per line, or download a CSV with email and domain columns. Copy and exports respect your filters, so you can copy emails from text without including rows you removed.

Is extraction history saved?

Only if you enable optional on-device history. It is off by default, saves extracted addresses for up to five runs in this browser, and never uploads them. You can clear the history at any time.

Can I copy emails from text in bulk?

Yes. Paste up to 5,000,000 characters or add up to 10 files in one run, then use Copy all or export TXT/CSV. Deduplication, domain filters, and a 100,000-match limit make it a practical bulk email extractor and email list extractor.

Can I extract email IDs from text?

Yes. The tool extracts every valid address present in your source and removes duplicates by default. It only returns email IDs that already appear in the text or files you provide; it does not guess or enrich contacts.

Ready when you are

A cleaner list in under a minute.

No file upload, no account, no ads. Paste your data and take the list with you.

Open the Email ExtractorSee how it works