Data Extractor

Pull every email, link, number, date & amount out of messy text into JSON — offline.

Extract emails, phone numbers, URLs and more from any text into a clean list or table. Free data extractor that runs in your browser — nothing uploaded.

About Data Extractor

Data Extractor is a free, browser-based tool that pulls structured values — emails, URLs, phone numbers, dollar amounts, dates, IPv4 addresses, SSNs, credit-card numbers, and API keys — out of any messy block of text and lists them as deduplicated values plus a copy-ready JSON object. It uses deterministic regex pattern-matching (no AI model), with extra checks like a Luhn checksum for card numbers and a calendar-plausibility check for dates so junk digits aren't mis-extracted. Everything runs locally in your browser — your text is never uploaded, and there is no signup.

How to use Data Extractor

  1. Paste your messy text — an email, a server log, a receipt, or a page of notes — into the 'Your text' box, or click 'Sample' to load an example.
  2. Under 'What to extract', toggle the type chips (Email, URL, API key, SSN, Card, IP, Phone, Money, Date) on or off; all nine are enabled by default.
  3. Watch the matches appear live as you type — each enabled type gets its own card with the deduplicated values and a count.
  4. Click 'Copy' on any type card to copy just those values (one per line).
  5. Use the 'Copy JSON' button to grab the full result as a JSON object keyed by type.

Frequently asked questions

Is my text uploaded to a server?
No. All extraction happens in your browser using local regex pattern-matching — your text never leaves the page and nothing is uploaded.
Is it free and do I need an account?
Yes, it's completely free with no signup, account, or watermark.
What types of data can it extract?
Nine types: emails, URLs (http/https), API keys (OpenAI sk-, AWS AKIA, GitHub, Google, Slack, and JWTs), Social Security numbers, credit-card numbers, IPv4 addresses, phone numbers, dollar amounts, and dates. You choose which types to extract with the toggle chips.
Does it avoid false positives like random number strings?
For the trickier types it runs a second check: credit cards must pass a Luhn checksum, and dates must be a plausible month/day across common orderings, so a version string or '13/32/2026' won't be wrongly extracted.
What output format do I get, and are duplicates removed?
You get per-type lists plus a combined JSON object where each key is a type mapped to an array of its values. Values are deduplicated and kept in the order they first appear in your text.
Is there a limit on how much text I can paste?
Yes. Because extraction runs live in your browser, very large pastes (over about 5 MB of text) are blocked with a warning so the tab doesn't freeze — trim the input and it will process again.

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