--- title: "Email Extractor From Text - Free Online Tool | CanDoYa" description: "Free email extractor from text, HTML, logs, or notes. Remove duplicates, sort, lowercase, and copy a clean list privately in your browser." url: https://candoya.com/tools/email-extractor-from-text/ locale: en type: browser-tool --- # Email Extractor From Text Category: Text & Writing ## What is an email extractor from text? An email extractor from text scans pasted content for email-shaped addresses and turns every match into a clean list. It recognizes common addresses with subdomains and plus tags, removes duplicates by default, and can sort, lowercase, or separate results for your next workflow. All matching runs locally in your browser. The extractor is useful for content you already control: contact exports, support threads, HTML snippets, application logs, research notes, or documents copied as text. It finds practical mailbox syntax without opening links, sending messages, or checking any mail server. Treat the output as a list of candidates, because a correctly shaped address can still be misspelled, inactive, or undeliverable. **Use extracted addresses responsibly.** Finding an address does not give permission to send unsolicited messages. Follow the consent, privacy, and anti-spam rules that apply to your location and intended use. ## How to use it 1. **Paste the source text** - Add notes, HTML, logs, email threads, or any other text that contains addresses. 2. **Review the live matches** - The output updates as you type and shows total matches, unique addresses, and unique domains. 3. **Choose the output format** - Remove duplicates, sort A-Z, convert to lowercase, and select new lines, commas, or semicolons. 4. **Copy the result** - Copy the cleaned list into your approved document, spreadsheet, test fixture, or contact workflow. ## Who it's for - **Support and operations teams** collecting participants from a thread or log before updating an approved contact record. - **Developers and QA teams** finding test addresses in fixtures, source snippets, configuration exports, or diagnostic output. - **Editors and privacy reviewers** checking a draft or copied page for email addresses that should be removed before publishing. - **Data cleanup workflows** turning lawful, unstructured contact notes into a deduplicated list for a spreadsheet or CRM import. ## Expert note Duplicate matching is case-insensitive, but the first spelling is preserved unless you enable Lowercase. The matcher supports everyday forms such as `name+tag@example.co.uk`, but deliberately skips obfuscated text like `name (at) example (dot) com`, quoted-string local parts, and domain literals because those forms are unreliable in unstructured text. ## Frequently asked questions ### Is my text uploaded when I extract emails? No. Scanning, duplicate removal, sorting, lowercasing, and formatting all happen locally in your browser. The tool does not upload your pasted text, contact a mail server, or send a message to any address it finds. ### Is this email extractor free? Yes. You can extract and copy email addresses without an account, download, subscription, or usage meter. The result appears directly in the page as you type. ### How much text can I process? There is no fixed server-side limit because the text never leaves your browser. Very large inputs still depend on your device memory and browser performance, but ordinary documents, exports, source snippets, threads, and logs are processed live. ### Does the tool verify whether an email address exists? No. Extraction only confirms that text matches a practical email-address pattern. It cannot prove that the domain is configured, the mailbox exists, or a person reads it. Verify important addresses through an appropriate consent-based workflow before relying on them. ### Does it support plus addresses and subdomains? Yes. Common forms such as `name+tag@example.com` and `person@mail.example.co.uk` are included. The scanner also keeps supported punctuation inside the local part while excluding sentence punctuation around an address. ### Why was an email address missed? The address may be obfuscated with words such as “at” and “dot,” split by whitespace, embedded in an image, missing a dotted domain ending, or written in an uncommon quoted or domain-literal form. The extractor avoids guessing when text is ambiguous. ### Are duplicate email addresses removed? Yes, by default. Duplicate comparison ignores letter case, so `Name@Example.com` and `name@example.com` count as one address. Turn off Remove duplicates if repeated appearances matter, or enable Lowercase to normalize the copied output. ## Related tools - [URL Extractor](https://candoya.com/tools/url-extractor/) - [Remove Duplicate Lines](https://candoya.com/tools/remove-duplicate-lines/) - [Find and Replace](https://candoya.com/tools/find-and-replace/) - [Text Diff Checker](https://candoya.com/tools/text-diff/) - [Word Counter](https://candoya.com/tools/word-counter/) --- *Markdown edition of , published for AI agents and other automated readers. Index of key pages: .*