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Email Address Extractor

Paste any text — HTML, documents, logs, or plain text — to instantly extract all unique email addresses as a clean, copyable list.

About Email Address Extractor — Extract Emails from Text Online

Email addresses embedded in unstructured text — a webpage source, a pasted email thread, a CSV export, a document, or log output — can be tedious to extract manually when there are dozens or hundreds of them. This extractor runs a regex pattern over any text you paste, finds all standard email addresses, removes duplicates, and sorts them alphabetically. The output can be formatted as one per line, comma-separated, or semicolon-separated for direct use in different contexts. Everything runs in your browser; your text is never sent anywhere.

Practical uses include extracting contact addresses from a copied webpage, pulling all the email addresses out of a long email thread to build a reply-all list, getting a unique list of addresses from a CSV export that has duplicate rows, or pulling emails from log files where they appear mixed with other data. The tool is also useful for auditing — pasting a scraped page to see how many email addresses are exposed publicly, which is a common step in both security reviews and data compliance checks.

How to Use Email Address Extractor

  1. Paste your text into the Input Text area — this can be any unstructured text: webpage HTML, plain text, CSV content, email thread, log output, or any other format.
  2. Click Extract. The tool scans the input with a regex pattern and finds all strings matching standard email address format.
  3. Review the Extracted Emails panel. Duplicates are removed automatically and addresses are sorted alphabetically. The count badge shows how many unique addresses were found.
  4. Select your preferred output format using the separator dropdown — one per line (for pasting into a list), comma-separated (for CSV or spreadsheet paste), or semicolon-separated (for email clients like Outlook that use semicolons as separators).
  5. Click Copy All to copy the extracted email list to your clipboard.

Features and Output Options

The extractor handles several common scenarios beyond basic email finding.

  • Duplicate removal: When the same email address appears multiple times in the input (common in email threads where headers repeat), it appears only once in the output. The deduplication is case-insensitive — [email protected] and [email protected] are treated as the same address.
  • Alphabetical sorting: The output is sorted alphabetically by email address, making it easy to scan for a specific address or domain, and making the list consistent when the same extraction is run multiple times.
  • Separator options: One per line is the most readable format and useful for lists. Comma-separated works for pasting into spreadsheets or CSV tools. Semicolon-separated is the format Outlook and many corporate email clients use for the To: field when you paste multiple addresses.
  • Large text handling: The extractor processes the entire input text regardless of length. For very large inputs (thousands of lines of log data), the extraction may take a second — this is normal and doesn't indicate a problem.
  • HTML-aware: Pasting webpage HTML source is a common use case. The regex finds email addresses within href attributes, in plain text content, and anywhere else in the HTML without requiring special HTML-parsing mode.

Tips for Better Extraction Results

The tool finds what's there — the quality of results depends partly on what you paste in.

  • Paste the raw source, not the rendered page: When extracting from a webpage, use Ctrl+U to view the page source and copy that, rather than selecting visible text on the rendered page. Rendered text selection misses addresses in link attributes and metadata; the HTML source contains all of them.
  • Check the output for false positives: The regex pattern finds any string matching the [email protected] format. In technical documents and code samples, you may encounter strings that look like email addresses but aren't (e.g., [email protected] used as a placeholder). Scan the results and remove any obvious placeholders before using the list.
  • Use the comma-separated format for spreadsheet import: If you're importing the email list into a spreadsheet or CRM, comma-separated output can be pasted into a single cell and then split into a column using the text-to-columns function, or pasted directly into a CSV-aware field.
  • Run multiple extractions for large data sets: If you're extracting from a very large document (a whole mailing list export or a large log file), split the input into chunks and run the extraction on each section separately. Comparing the results across sections helps identify patterns in where addresses appear.

Why Use an Email Extractor Online

Extracting email addresses manually from a long document is error-prone and slow. Writing a regex in a terminal or text editor requires knowing the pattern and the right tool. This extractor removes both barriers — paste text, click extract, copy the result. Because it runs in the browser, it works on any device without installation and handles the deduplication and formatting steps that would otherwise require extra processing.

Marketing teams extracting contacts from event attendance lists or partner documents benefit from the immediate, formatted output. Developers processing log files or exported data benefit from a quick browser-based extraction without needing to write a script. Security and compliance teams auditing what email addresses are exposed in public-facing HTML benefit from being able to paste page source and see the exposure immediately.

Frequently Asked Questions about Email Address Extractor

Yes. All extraction happens in your browser using JavaScript. No text is sent to any server. Your input text exists only in browser memory while you're using the tool, and closing or refreshing the tab clears it completely. This makes the tool safe to use with sensitive contact lists or internal documents that you don't want uploading to a third-party server.

No. The extractor finds standard RFC-compliant email addresses — strings matching the [email protected] pattern. Obfuscated forms like "user at domain dot com", "user(at)domain.com", or "user[@]domain.com" are not detected because they intentionally don't match the standard format. Obfuscation exists specifically to defeat automated email extraction — if you need to extract obfuscated addresses, you'd need to normalize the obfuscation format first (e.g., find-and-replace " at " with "@").

The extractor finds standard email addresses: a local part (which can include letters, numbers, dots, hyphens, underscores, and plus signs), an @ symbol, a domain name, and a top-level domain. It handles common formats like [email protected], [email protected], and [email protected]. It does not detect non-standard or highly unusual formats, email addresses with quoted local parts, or internationalized email addresses with non-ASCII characters.

The most common reason is that the email isn't in plain text form in the input. In HTML source, email addresses in JavaScript variables, CSS content, or encoded as HTML entities may not match the regex pattern. Email addresses with non-standard characters (quotes around the local part, unusual unicode characters) also won't match. If a specific address isn't being extracted, paste just that address into the input to test it in isolation — if it doesn't extract alone, it's likely in a non-standard format.

Yes, completely free. No account, no sign-up, and no usage limits. You can extract email addresses from as many texts as you need. Because the extractor runs entirely in your browser using JavaScript, there are no API costs and no rate limits.