Extract Domains from Plain Text

Drop in any block of text—reading lists, chat paste, or messy copy—and get a short, A–Z sorted list of website names (registrable domains). One click, copy or download. Nothing is uploaded.

Your text

Paste, optionally tidy spacing, then extract.

Input is limited for performance. Extract runs in your browser only.

0 / 500,000 characters

Paste text above, then tap Extract website names to see counts and the list.

By Muhammad Abdullah Rauf · Founder, EverydayTools.proUpdated 2026

How do I extract domains from plain text?

Paste any block of text—notes, articles, chat exports, or reading lists—and click Extract. The tool finds hostname-shaped tokens, merges subdomains into one website name per site (example.com), sorts A–Z, and lets you copy or download a .txt list. No upload.

This tool is the beginner lane in the domain-extraction cluster: one textarea, one button, and a clean list of website names (registrable domains) pulled from unstructured prose.

It scans pasted text for dotted hostnames and URLs embedded in sentences—class notes, forwarded emails as plain text, PDF copy-paste, or informal lists. Optional “Tidy whitespace” normalizes line breaks and spaces before scanning (handy for messy PDFs). Results show mention counts, unique hostnames, and the final deduplicated website-name list.

Unlike the full domain extractor, there are no TLD filters, PSL toggles, CSV/JSON exports, or frequency tables—just paste, extract, copy, or download. For mixed logs, emails, and advanced exports, use the domain extractor instead.

Paste plain text → deduplicated website names (roots). Copy or .txt download. No server upload.

Quick answers

Concise answers for common searches — definitions, steps, and comparisons.

How do I extract domains from plain text without uploading?

Paste your text into the box and click Extract website names. Parsing runs in your browser tab—nothing is sent to EverydayTools servers. You get a deduplicated, alphabetically sorted list of registrable website names with optional .txt download.

What is the difference between this page and the domain extractor?

This page is the quick, text-only lane: one box, counts, copy, and download. The domain extractor handles mixed logs, emails, markdown, frequency views, registrable-root modes (Fast/PSL), and CSV/JSON export—use it when input is messy or structured.

What does “website name” mean in the output?

It is the registrable domain—the site key you would look up in DNS (example.com)—not every subdomain line. www.blog.example.com and api.example.com both map to example.com in the final list.

Is my pasted text uploaded?

No. Extraction, deduplication, and export run entirely in your browser. Close the tab when finished on a shared computer.

How to use Extract Domains from Plain Text

  1. Paste your text

    Drop notes, article excerpts, chat exports, or any block where domains appear inside sentences—not just one URL per line.

  2. Tidy whitespace (optional)

    Leave “Tidy whitespace” on to trim lines and collapse spaces (useful for PDF paste). Turn off if you need the raw string unchanged.

  3. Extract website names

    Click Extract website names. Review mention vs hostname counts, then the A–Z sorted list of registrable domains (one site per line).

  4. Copy or download

    Copy the list to clipboard or download domains-from-text.txt for spreadsheets, bookmarks, or downstream scripts.

Extract Domains from Plain Text examples

Reading list snippet

Input

I liked learningseo.io and the Ahrefs piece at ahrefs.com/blog.
Mirror: https://www.example.com/seo-basics

Output

ahrefs.com
example.com
learningseo.io

Three website names from bare domains and one https link; www and path are stripped to registrable roots.

Repeat mentions in notes

Input

Check api.vendor.co.uk and docs.vendor.co.uk before www.vendor.co.uk.

Output

vendor.co.uk

Three hostnames collapse to one website name; mention count in the UI will be higher than lines in the output list.

Who uses Extract Domains from Plain Text?

Common real-world scenarios where this tool saves time.

Reading lists and research notes

Turn informal article mentions into a checklist of sites to visit—without manually hunting for every dotted name.

Plain-text email forwards

Grab brand domains from informal threads pasted as text when you do not have a structured .csv export.

PDF and document paste cleanup

Use Tidy whitespace after copying from PDFs or tables so broken line wraps do not hide hostnames.

Teaching registrable domains

Show beginners what “website name” means (example.com) without advanced PSL or export options.

Workflow guides

Step-by-step chains that connect related tools for common tasks.

Reading notes → bookmark checklist

  1. Paste article notes or syllabus text that mentions several sites inline.
  2. Enable Tidy whitespace if the paste came from a PDF or table.
  3. Extract, then copy or download the sorted website-name list.

Reference tables

Plain-text extractor vs focused tools

Pick the narrow tool when you already know your input shape.

ToolBest inputOutput
Extract Domains from Plain Text (this page)Prose, notes, informal pasteSorted website names + .txt
/domain-extractorMixed logs, emails, URLs, exportsHostnames or roots + CSV/JSON
/extract-domain-from-emailEmail address listsDomain per address
/extract-domain-from-urlOne URL per lineRoot domain per URL

Mentions vs website names in results

Understand the stats row before exporting.

MetricMeaningTypical use
Total mentionsEvery hostname token found in textSee how often sites are cited
Unique hostnamesDistinct full hostnames before root mergeSpot subdomain sprawl
Website namesRegistrable domains after mergeYour copy/download list

Common mistakes to avoid

Using this page for a pure URL list (one link per line)

Use Extract Domain from URL for line-oriented sitemaps and imports, or Domain Extractor when you also have emails and logs in the same paste.

Expecting every word with a dot to become a domain

Tokens must look like real hostnames (e.g. news.ycombinator.com). Version numbers like 1.2.3 or file names like report.pdf are skipped.

Pasting multi-megabyte files without splitting

Input is capped at 500k characters for responsiveness. Split huge logs or use the full domain extractor with file upload.

Comparing mention count to lines in the final list

Mentions count every hostname hit; website names merge subdomains to one root per site—fewer lines is normal.

Turning off Tidy whitespace on broken PDF paste

Enable Tidy whitespace when lines are split mid-word or full of double spaces—then re-run Extract.

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Frequently Asked Questions

How do I extract domains from plain text?

Paste any block of text—notes, paragraphs, or informal lists—and click Extract website names. The tool finds hostname-shaped tokens, merges subdomains into one name per site (example.com style), sorts alphabetically, and shows how many times domains appeared in your paste.

What is the difference between this page and the full domain extractor?

This page is a quick, beginner-friendly lane: one box, one button, counts, copy, and download. The domain extractor adds advanced parsing, richer exports, frequency and grouping, optional PSL mode, and is built for messy logs and mixed structured data.

What does “unique website names” mean here?

It is the registrable domain—the brand/site key you would look up in DNS—not every subdomain. So www.blog.example.com and api.example.com both map to example.com in the output list.

Does it work if my text only has bare domains (no https://)?

Yes. Dotted names like news.ycombinator.com are picked up when they look like real hostnames. Pure sentences without any domain-like tokens will return an empty list.

What does “Tidy whitespace” do?

It normalizes line endings, trims each line, collapses runs of spaces, and removes empty lines before scanning—useful for text copied from PDFs or tables. Turn it off if you need the raw string untouched.

Why are my counts different (mentions vs unique hostnames)?

Mentions count every time a hostname was detected. Unique hostnames is how many distinct full hostnames appeared before merging to website names. If the same site appears under several subdomains, you will see more hostnames than lines in the final list.

Can I export the domain list?

Yes. Use Copy list or Download .txt after extraction. For CSV/JSON with frequency columns, use the domain extractor instead.

Privacy, accuracy, and trust

Privacy

Extract Domains from Plain Text (/extract-domain-from-text) runs in your browser when supported—inputs are not uploaded to EverydayTools servers.

Accuracy

Hostname detection uses the same parsing rules as the domain-extractor cluster; registrable roots follow conservative suffix heuristics suited for quick lists.

For research and list-building—not legal discovery, security audits, or guaranteed WHOIS accuracy.

Part of Developer Tools

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Reviewed by EverydayTools Editorial Team on 2026-05-20.