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Named Entity Extractor

Extract person names, organizations, locations, and other entities from any text using a real AI model (BERT NER) running directly in your browser. Document analysis happens entirely in your browser — nothing is uploaded.

Click "Extract Entities" to load the AI model (~170 MB one-time download). After loading, it works offline.
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Named Entity Recognition Online — Free, Private, Browser-Only

Named Entity Recognition (NER) is one of the most useful natural language processing tasks. It automatically identifies and classifies key information in text: person names, company names, geographic locations, dates, monetary amounts, and more. This tool brings that capability directly to your browser with no server required.

Powered by a BERT-based NER model running via Transformers.js, this tool processes your text entirely on your device. Whether you are reviewing legal documents, analyzing news articles, or extracting contact information from emails, your data stays private.

What Gets Extracted

  • Person names (PER) — People mentioned in the text
  • Organizations (ORG) — Companies, institutions, agencies
  • Locations (LOC) — Cities, countries, addresses, geographic places
  • Miscellaneous (MISC) — Nationalities, events, products, other named entities

Use Cases for Entity Extraction

Legal document review: Quickly identify all parties, locations, and organizations mentioned in contracts, court filings, or regulatory documents. Journalism: Extract sources, organizations, and locations from press releases or interview transcripts. Research: Pull structured data from unstructured academic papers or reports. Data extraction: Convert free-text records into structured data for databases or spreadsheets.

Color-Coded Highlighting

Entities are highlighted directly in your original text with color coding: blue for people, green for organizations, amber for locations, and purple for other entities. You can export the results as a CSV file or a plain list for use in spreadsheets or other tools.

Privacy You Can Verify

Open your browser's Network tab in developer tools and watch: after the model downloads, zero network requests are made when you extract entities. Your text never leaves your machine. This makes it safe for sensitive documents like HR records, medical notes, or confidential business communications.