Free, private, browser-based Universal Emoji Counter and Density Analyzer utility for social media creators, copywriters, and developers. Accurately count total and unique emojis using modern Unicode Grapheme Cluster Segmentation (Intl.Segmenter). Accurately calculates complex Zero-Width Joiner (ZWJ) family sequences, Fitzpatrick skin tone modifiers, regional indicator flag pairs, and keycap symbols as single visual emojis. Analyze real-time emoji density percentages, inspect hex codepoints (U+…), visualize frequency clouds, categorize across 9 Unicode matrices, strip or extract emojis, and export reports in JSON and CSV formats. 100% client-side with zero data storage.

Universal Emoji Counter & Density Analyzer

Count total and unique emojis, analyze density percentages, decode complex Zero-Width Joiner (ZWJ) sequences, and export multi-format Unicode breakdown in real-time.

Total Emojis 🔢

0 total instances found

Unique Emojis ✨

0 distinct glyphs

Emoji Density 📊

0.0%

0% of total characters

Dominant Emoji 👑

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None detected

Perceived Graphemes: 0

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UTF-16 Code Units (Length): 0

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Words: 0

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Lines: 0

💡 Drag & drop any .txt, .md, or .csv text file directly into the box 📁 Upload File

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Glyph	Unicode Codepoint(s)	Type & Sequence	Count	Share / Density	Action
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📚 Emoji Encoding & Unicode Grapheme Segmentation Guide

A Zero-Width Joiner (\u200D) is an invisible Unicode character used to connect two or more individual emojis into a single visual glyph. For example, the Technologist emoji (👨‍💻) is composed of Man (U+1F468) + ZWJ (U+200D) + Laptop (U+1F4BB). This tool utilizes the modern Intl.Segmenter Grapheme Cluster engine to ensure compound emojis and family sequences (e.g., 👨‍👩‍👧‍👦) are counted accurately as 1 single emoji rather than broken across multiple parts.

JavaScript strings are UTF-16 encoded. Standard ASCII characters take 1 code unit (length 1), but emojis usually occupy surrogate pairs (2 code units each). When skin tones (Fitzpatrick modifiers) or ZWJ sequences are combined, a single visual emoji like 👍🏽 can have a .length of 4, and 👨‍👩‍👧‍👦 can have a .length of 11. Our parser separates Unicode grapheme clusters from UTF-16 code units so your analytics reflect true visual density.

Legacy regex expressions using simple Unicode blocks often misidentify standard punctuation, ASCII digits (0-9), and hash symbols (#) as emojis. By leveraging modern Unicode property escapes (\p{Extended_Pictographic}) in combination with regional indicator pair checks (\p{Regional_Indicator}{2}) and keycap sequence matching (#️⃣), our engine ensures 100% precision across all Unicode 15 & 16+ releases.

Every calculation, grapheme decomposition, skin modifier categorization, and file parsing happens strictly in your local browser memory using native ECMAScript APIs. Zero text, social captions, or metadata are ever transmitted to any external server or stored remotely.

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