Free AI Text Emotion Detector
Paste any text → get instant emotion analysis with sentiment chart, keyword highlights, confidence score & full report
- ✅ Use complete sentences with clear emotional context
- ✅ Longer texts (50+ words) give more accurate results
- ✅ English text works best — optimized for English NLP
- ✅ Try customer reviews, journal entries, social posts, emails
- ⚡ Sarcasm and irony may not detect accurately (keyword-based)
- ⚡ Mixed emotion texts show the dominant emotion only
Free AI Text Emotion Detector — Sentiment Analysis Tool Online
Understanding the emotional tone of text is one of the most powerful capabilities of modern natural language processing. This free AI text emotion detector analyzes any written text and identifies the dominant emotion instantly — whether that is happiness, sadness, anger, fear, surprise, disgust, or neutral tone — with confidence scores, keyword highlighting, sentiment meter, and a full copyable report. No signup, no server uploads, 100% browser-based and private.
What is Text Emotion Detection?
Text emotion detection, also called affective computing or sentiment analysis, is the computational process of identifying and categorizing emotional states expressed in written language. Unlike simple positive/negative sentiment analysis, emotion detection identifies specific feelings: joy, sadness, anger, fear, surprise, and disgust — the six basic emotions identified by psychologist Paul Ekman, plus neutral for objective text. This tool implements a seventh category, disgust, giving seven total emotion categories for comprehensive coverage.
The tool uses a weighted keyword scoring system with over 200 emotion-specific words. Each word is scored by intensity — "devastated" scores higher for sadness than "sad". The emotion with the highest cumulative score becomes the dominant result. All scores are normalized to percentages for easy comparison across emotion categories.
7 Emotions This Tool Detects
Real-World Applications
- Customer Feedback Analysis — analyze reviews, support tickets, and survey responses to identify emotional trends
- Content Writing — check the emotional tone of blog posts, emails, and marketing copy before publishing
- Social Media Monitoring — paste comments or posts to understand audience emotional reactions
- Mental Health Support — journal entry analysis to track emotional patterns over time
- Academic Research — linguistics, psychology, and communication studies requiring emotion coding
- Education — help students understand emotional language in literature and creative writing
- HR and Management — analyze employee feedback, meeting notes, and internal communications
How the Sentiment Meter Works
The sentiment meter at the top of results shows where your text falls on a spectrum from strongly negative (anger, fear, sadness, disgust) to strongly positive (happiness, surprise). The needle position is calculated from a weighted combination of all emotion scores — positive emotions pull the needle right, negative emotions pull it left, neutral text keeps it centered. This gives a quick visual summary of overall tone before reading the detailed breakdown.
Compare Mode — Two Texts Side by Side
The Compare tab lets you paste two different texts and analyze their emotions simultaneously. This is useful for comparing how two different versions of a message feel, how two customer reviews differ emotionally, or how your writing tone changed between drafts. Both texts get a full emotion analysis and a verdict highlighting the key difference between them.
Privacy — Your Text Never Leaves Your Device
All emotion analysis runs entirely in your browser using JavaScript keyword matching. No text is uploaded to any server, no API call is made, no data is logged or stored anywhere outside your browser session. You can safely analyze private emails, confidential feedback, personal journal entries, or sensitive business communications without any privacy risk. Close the browser tab and the session data is gone permanently.
❓ Text Emotion Detector FAQ
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