Extract Emails

Email Extractor — clean, filter, and export in one place

If you’ve ever pulled addresses out of a messy document, chat export, or system log, you know the busywork: finding each email by eye, stripping out duplicates, normalizing case, and getting the results into a file your team can use. This Email Extractor removes that friction. Paste any content — or upload a .txt/.csv file — and it instantly parses out email addresses. From there you can tidy the list with a few sensible options: remove duplicates so you don’t contact the same person twice, convert everything to lowercase for consistency, and sort A–Z to make scanning and lookups easier.

Real‑world lists are rarely uniform, which is why the tool lets you filter by domain in two ways. In Include mode, you can keep only company or school domains (for example,example.com or uni.edu) and discard the rest. In Exclude mode, you can strip out free‑mail providers or noisy domains that you don’t want to keep. Enter domains separated by commas or spaces — gmail.com outlook.com example.org — and the results update immediately. A live summary shows how many addresses were found, how many are unique, and which domains appear most often, so you can understand the shape of your data at a glance.

When you’re happy with the list, you can copy it straight to the clipboard or download it. The TXT export is a simple newline‑separated list that works everywhere. The CSV export adds a domain column, which makes grouping, deduplicating, and pivoting in spreadsheets far easier. If you plan to combine multiple exports, you can always run the final file through a dedicated de‑duper later — but in most cases, the built‑in duplicate removal here is enough.

Privacy is a core design principle: all processing happens locally in your browser. No uploads, no servers, no tracking — which makes this tool a safe choice for sensitive contact lists and internal documents. Because the extractor uses a pragmatic pattern, it matches the vast majority of real‑world addresses you’ll encounter in the wild (docs, logs, emails, chat exports). It doesn’t attempt to validate inboxes or mail servers; if you need verification, run the exported list through a separate validator as a second step.

The interface is intentionally straightforward. You can paste text, drag and drop a file, or click to upload. Options are one click away: check Remove duplicates to collapse repeated entries, Convert to lowercase to normalize inconsistent casing, and Sort A–Z to put the list in a predictable order. The domain filter is flexible enough for quick targeting: keep your company’s domains only, or exclude common providers to focus on business addresses. At the bottom, you’ll see a compact domain breakdown, which is perfect for spotting trends or catching unexpected sources in the dataset.

If you’re preparing a list for mail‑merge or CRM import, the CSV export is usually the best choice. If you just need to hand someone a clean list in Slack or email, copy the output or download the TXT file. Either way, you’ll avoid manual hunting and cleanup — and you’ll get a result your teammates can trust.

Key features

• Extract emails from pasted text or uploaded .txt/.csv files
• Remove duplicates, convert to lowercase, and sort A–Z
• Domain filter: include or exclude specific providers
• Live totals, unique count, and top-domain statistics
• Copy to clipboard or export as TXT/CSV (CSV adds a domain column)
• Drag-and-drop support and quick clear actions
• 100% client‑side — no uploads, no servers, no tracking

Tips

• Paste only the sections likely to contain addresses for faster results and fewer false positives.
• Lowercasing the list helps catch duplicates where case differs (e.g., [email protected] vs [email protected]).
• Use Include mode to keep only company or school domains; use Exclude to filter out free‑mail providers.
• If you’re merging multiple exports, run the final file through Remove Duplicate Lines to consolidate.

Frequently asked questions

Paste, clean, filter, and export — this Email Extractor turns a chaotic block of text into a tidy, ready‑to‑share list in seconds, without sending anything off your device.