AI Entity & PII Extractor
Paste text and pull out people, organizations, locations, emails, phone numbers, IPs and URLs with an AI model that runs entirely in your browser.
The entity model runs locally in your browser, so the text you scan for names, emails and other details is never uploaded and stays on your device.
Cleaning up messy text? Try the AI Text Cleaner.
About AI Entity & PII Extractor
This AI entity and PII extractor scans a block of text and pulls out the things that matter — people, organizations and locations recognised by an on-device AI model, plus emails, phone numbers, IP addresses and URLs found by precise pattern matching. The first time you use it, a compact named-entity model downloads once and is cached by your browser; every scan after that runs on your own device, so the documents, logs, emails and notes you paste stay private and never leave your machine. It is useful for spotting personal data before you share a file, building a quick list of the names or companies mentioned in a report, pulling every email or URL out of a dump of text, or getting a structured overview of unstructured content. Results are grouped by type and de-duplicated, and you can copy the whole list in one click. Because entity recognition is model-based, it is a strong assistant rather than a guarantee — always review the results when redacting sensitive data.
Features
- People, organizations and locations detected by an on-device AI model
- Emails, phone numbers, IP addresses and URLs found by exact pattern matching
- Results grouped by type, de-duplicated and shown with a confidence hint
- Everything runs in your browser — the text you scan is never uploaded
- One-time model download that is cached, so later scans are instant and work offline
- Copy the full, grouped list of entities to your clipboard in one click
How to use the AI Entity & PII Extractor
- Paste the text you want to scan into the Text box.
- Click Extract entities; the first run downloads the model once, then it runs locally.
- Review the entities grouped by type — people, organizations, locations and contact details.
- Click Copy all to grab the full list.
Example
Input
Reach out to Dr. Alice Chen at alice.chen@medlab.org or call +1 (415) 555-0142. The trial runs at Stanford in California.
Output
People: Alice Chen
Organizations: Stanford
Locations: California
Emails: alice.chen@medlab.org
Phone numbers: +1 (415) 555-0142
Names and places come from the AI model; emails and phone numbers from pattern matching.
Common errors & troubleshooting
- The first scan takes a moment to start. — The model downloads once on first use and is then cached; later scans begin almost instantly, even offline.
- A name or company is missed or mislabelled. — Entity recognition is model-based and not perfect; review the results and don't rely on it alone when redacting sensitive data.
- An unusual phone-number format is not detected. — Phone matching favours common formats; add spacing or a country code, or check the number manually if it uses an uncommon layout.
- No entities are found in text you expected to match. — The model recognises people, organizations and locations plus emails, phones, IPs and URLs; other data types won't appear as entities.
Frequently asked questions
- Is my text uploaded to extract entities?
- No. The named-entity model runs directly in your browser, so the text you paste is processed on your own device and is never sent to a server.
- What kinds of entity can it find?
- An AI model detects people, organizations and locations, and pattern matching adds emails, phone numbers, IP addresses and URLs. Results are grouped by type.
- Can I use this to find PII before sharing a file?
- Yes, it is a useful first pass for spotting names, contact details and addresses. Because recognition is model-based, always review the results before relying on them for redaction.
- Why does the first scan need a download?
- The AI model is fetched once before it can run locally. It is cached afterwards, so later scans start immediately and even work without a connection.
- Can I extract entities offline?
- After the one-time model download, yes — because everything runs on your device, you can extract entities with no network connection.
- How accurate is the entity recognition?
- It is strong on well-formed text but not perfect: names can be missed or mislabelled and unusual formats may slip through. Treat it as an assistant and verify anything important.
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