Extract Email Addresses

How to use Extract Emails

1. Paste text containing addresses or select a local text, CSV, or HTML file.
2. Choose deduplication, domain casing, order, sorting, and output format options.
3. Review the extracted and duplicate counts, then copy or download the list.

Supported behavior

Extract Email Addresses scans ordinary text for practical mailbox-shaped values, removes surrounding punctuation, and ignores clearly malformed matches. It is an extractor rather than full RFC mailbox validation and cannot prove that an address exists or accepts mail. By default duplicates are removed, domain names are lowercased, local-part comparison remains case-sensitive, and first appearance order is retained. You can instead sort results and export one address per line, comma- or semicolon-separated text, a JSON array, or CSV. Counts show extracted values and removed duplicates, making cleanup decisions visible. Internationalized domains may be preserved where the browser and parser support them. Pasted text and selected .txt, .csv, or .html files are examined only in your browser; addresses are never sent to a lookup, validation, or reputation service. Because prose punctuation and unusual valid mailbox syntax are ambiguous, inspect the result before using it as a contact list and obtain appropriate consent before sending messages.

• Extraction does not verify deliverability, ownership, consent, or mailbox existence.
• Rare but valid RFC mailbox forms may be omitted by the practical matching expression.

Examples

                Write to Ada <ada@example.com>, then copy ops@EXAMPLE.COM.
              

                sales@example.org; sales@example.org, SALES@example.org
              

Common use cases

• Collect support addresses from copied meeting notes.
• Deduplicate a mailbox list before importing it into an approved system.
• Convert addresses embedded in prose into a JSON array for local testing.

Frequently asked questions