🧠 AI EMOTION DETECTOR • 7 EMOTIONS • INSTANT • 100% PRIVATE • FREE

Free AI Text Emotion Detector

Paste any text → get instant emotion analysis with sentiment chart, keyword highlights, confidence score & full report

✓ 7 Emotions✓ Score Bars✓ Sentiment Meter✓ Keyword Highlight✓ Compare Mode✓ History Log✓ Copy Report
7
Emotions
200+
Keywords
⚡
Instant
🔒
Private
Free
Always
🧠 Analyze
📊 Compare
📋 History
📚 Guide
✍ Enter Text to Analyze
0 words · 0 characters Leave blank for sample
📊 Sentiment Meter
🔴 Negative🔵 Neutral🟩 Positive
🌞 All Emotion Scores
🔍 Detected Emotion Keywords
📈 Text Statistics
📊 Compare Two Texts Side by Side
TEXT A
TEXT B
📋 Analysis History
No analyses yet. Use the Analyze tab to get started.
🧠 7 Emotions Explained
😊
HAPPY
Joy, excitement, love, satisfaction. Keywords: thrilled, amazing, wonderful, love, fantastic
😢
SAD
Sorrow, grief, heartbreak, loss. Keywords: devastated, heartbroken, crying, miss, lonely
😠
ANGRY
Rage, frustration, hostility. Keywords: furious, outraged, hate, infuriating, unacceptable
😨
FEAR
Anxiety, terror, worry, dread. Keywords: terrified, panic, nightmare, horrified, dread
😲
SURPRISE
Astonishment, shock, unexpected. Keywords: wow, unbelievable, stunning, astonished, shocked
🤢
DISGUST
Revulsion, distaste, repulsion. Keywords: disgusting, revolting, repulsive, vile, nauseating
😐
NEUTRAL
Objective, factual, balanced. No strong emotional keywords detected in text.
💡 Tips for Best Results
  • ✅ 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
TC
ToolsCoops AI TeamUpdated September 17, 2026
Emotion DetectionAI SentimentNLP ToolFreeNo Signup100% Private

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

😊
Happy
joy, excited, love
😢
Sad
grief, heartbreak, loss
😠
Angry
rage, fury, outrage
😨
Fear
terror, panic, dread
😲
Surprise
shock, astonishment
🤢
Disgust
revulsion, repulsion
😐
Neutral
objective, factual
📊
All Scores
shown as % bars

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

What is an AI text emotion detector?+
It analyzes written text and identifies the dominant emotion using keyword scoring — happy, sad, angry, fear, surprise, disgust, or neutral. Results include a confidence score, sentiment meter, keyword highlights, and full score breakdown for all 7 emotions.
How accurate is the emotion detection?+
High accuracy for clear emotional content with explicit emotion words. Longer texts (50+ words) are more accurate. The tool uses 200+ keywords with intensity weighting. Sarcasm and subtle irony are not detected — the system is keyword-based, not context-aware AI.
Is my text data stored or shared?+
No. Everything runs locally in your browser. Your text never leaves your device. No server, no API, no storage. Close the tab and all data is gone. You can safely analyze private or confidential text.
What is the difference between emotion detection and sentiment analysis?+
Sentiment analysis gives positive/negative/neutral. Emotion detection is more granular — it identifies specific feelings (happy, sad, angry, fear) rather than just polarity. This tool does both: it shows the specific dominant emotion AND a positive-to-negative sentiment meter.
Can I compare two texts at once?+
Yes. Use the Compare tab. Paste two texts, click Compare, and both get analyzed simultaneously with a side-by-side emotion result and a verdict explaining the key difference.
What types of text work best?+
Complete sentences with emotional content: customer reviews, social media posts, emails, journal entries, feedback forms, creative writing. Factual and technical text typically returns Neutral. Minimum 10 words for a meaningful result; 50+ words for best accuracy.
Does it work in languages other than English?+
Optimized for English. Other languages using Latin script may work partially if they share common emotion words. For non-English text, results may not be reliable.
Can I save or export my results?+
Yes. Click Copy Report after analysis to copy the full result to your clipboard. All analyses in the current session are saved in the History tab for quick reference.
What does the emotion confidence score mean?+
The confidence score (0-100%) shows how strongly the dominant emotion appears relative to all other emotions. A score above 70% means a strong, clear dominant emotion. Below 40% means the text has mixed emotional signals.
Does this tool work on mobile?+
Yes. Fully responsive on all smartphones and tablets. Dark mode is supported automatically based on your device system theme. No download or app install required.
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