Entity Frequency Counter

What this tool detects

This tool scans text for capitalized words and multi-word capitalized sequences — a lightweight stand-in for named entities like people, companies, products, and places — and counts how often each one appears. It groups consecutive capitalized words into a single entity (so "New York Times" counts as one phrase, not three), then separately tallies standalone capitalized words, and returns the top 50 by frequency, labeled as Multi-word, Acronym, or Single word.

This is pattern-based, not true NLP named-entity recognition — it has no dictionary of real-world entities and doesn't know that "The" at a sentence start isn't a proper noun. It works well on typical English prose where capitalization reliably marks proper nouns, and less well on titles, headings, or heavily capitalized marketing copy.

When to use it

Use it for content and SEO analysis: checking which brand names, competitor names, or product terms dominate a piece of content, verifying that a target entity (your company name, a client's product) appears with the frequency you intended, or auditing a long document to see which proper nouns you reference most. It's also a fast way to spot inconsistent naming — if "Node.js", "NodeJS", and "Node JS" all show up separately, that's a sign to standardize.

For topical SEO work, entity frequency is a rough proxy for topical focus: a well-optimized article about a specific product or company should show that name as the top or near-top entity, not buried under generic proper nouns picked up from example names or quotes.

Example

Paste a product review mentioning "Slack" nine times, "Microsoft Teams" four times, and "Zoom" twice. The results table lists Slack (Single word, 9), Microsoft Teams (Multi-word, 4), Zoom (Single word, 2) sorted by count — confirming Slack is the clear subject of the piece.