How It Works
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1. Send Data
Send text (or conversation logs) to the IntenCheck API.
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2. Multi-dimensional Analysis
Receive structured JSON with meta-programs, emotions, mood, and communication style indicators.
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3. Take Action
Use these signals to personalize content, coach users, segment audiences, or support human professionals.
Example Use Cases
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📈 Customer Reviews Analysis
Automatic tone detection + recommendations. E-shop example: extract dissatisfied reviews and automatically suggest empathetic response templates.
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🤖 Chatbot Intent Recognition
Real-time emotion & tone correction. Support example: if a client is aggressive, automatically adjust the chatbot's response to be more polite and accommodating.
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✉️ Marketing A/B Testing
Tone comparison before publishing. Email marketing: "Version A is too cold, change to Version B with +20% more sincerity."
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👥 HR Communication
Sincerity & tone checking. Employee feedback: filter out insincere or overly aggressive reviews before moderation.
🌐 All Languages – No Compromises
Native Analysis in Your True Language
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Input text in EN, LT, RU, DE, FR...
Send text in its native language. IntenCheck analyzes it precisely in that language without losing context through intermediate translation steps.
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Get structured JSON in any language
Need results for a Lithuanian team? Request
"output_lang": "lt". Need them for global clients? Request"en". Get labels, tones, and recommendations exactly as you need them.