AI Behavioral Analysis

Every voice
tells the truth.

Advanced emotional and behavioral analysis that detects stress, anxiety, and incongruence in speech — in real time.

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Behavioral signals analyzed
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Pattern accuracy on English
0ms
Average analysis time
// Live demo

See what the AI
actually sees.

the-truth-ai — analysis report
// Global verdict
Sustained stress detected throughout recording
Speaker demonstrates consistent behavioral anomalies across 5 of 7 analyzed segments. Semantic content contradicts emotional state in 3 key moments.
HIGH RISK
// Audio waveform + key moments
// Behavioral risk index
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+42pts above baseline
// Stress consistency
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Sustained pattern throughout
// Confidence index
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Within expected range
// Emotion timeline
Stress
Anxiety
Confidence
Calmness
// Sentence-by-sentence analysis — click to expand
"I have never felt stressed at work. Never. Everything runs perfectly smooth."
Stress: 84 Semantic incongruence Repetition detected 2.1s pause before
Voice pitch spiked 67% above personal baseline. Hume anxiety score 71/100 despite semantically positive content — severe incongruence detected. Word repetition ("Never. Never.") is a documented deception pattern. 2.1 second pause before statement is 4× longer than speaker's baseline pause. Patterns of this type appear in approximately 70–80% of cases involving deliberate concealment.
"I don't really have any side projects or anything like that going on."
Stress: 79 Hedging language Speech rate drop -34%
Multiple hedging markers: "really", "or anything like that". Speech rate dropped 34% below speaker baseline at this phrase. Pitch variance 2.8× above baseline. Distress score 68/100. Behavioral patterns consistent with information withholding — probability 70–80%.
"I've been doing this for about... ten years now, honestly I love every single day."
Stress: 61 Filler pause mid-sentence Over-qualification
Mid-sentence pause of 1.4s before "ten years" — speaker appears to calculate response. "Honestly" is a self-attestation marker. Anxiety score 54/100. Patterns correlate with deceptive behavior in approximately 55–65% of documented cases.
"Hi, my name is Arseny and I'm a project manager."
Stress: 18 Baseline segment
Opening statement shows normal behavioral markers. Pitch and speech rate within baseline range. Used as calibration reference for subsequent analysis.
// How it works

Three steps.
One truth.

Record. Analyze. Understand what was really said.

🎙

Calibrate your voice

Speak for 20 seconds naturally. The system maps your personal baseline — pitch, tempo, pause patterns. All deviations are measured against you, not population averages.

🧠

Analyze any recording

Upload audio or video — a call, interview, negotiation, anything. Three independent engines simultaneously capture semantic, vocal, and acoustic signals.

📊

Read the truth

Get a behavioral risk index, stress timeline, and sentence-by-sentence breakdown. Every flagged moment shows exactly what gave it away — pitch spike, pause, semantic incongruence.

// Use cases

Built for moments
when truth matters.

🤝

Business negotiations

Analyze recorded calls and meetings to surface incongruence between what partners say and how they say it. Catch hidden hesitations before signing.

👥

HR & hiring

Evaluate interview recordings for behavioral stress patterns. Understand if a candidate's confidence matches their actual comfort with the role.

💑

Personal relationships

The viral use case — record a conversation, run it through The Truth, and see the emotional timeline. Is what they said aligned with how they felt?

🎯

Self-improvement

Practice high-stakes presentations and speeches. See exactly where your vocal confidence drops and train yourself to deliver with consistent authority.

// Under the hood

Three layers.
One verdict.

Semantic Analysis
Prosody Engine
Acoustic Fingerprinting
BRS Formula
SEC Congruence Model
Personal Baseline Calibration
Real-time Processing
Multi-language Support

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the truth?

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