Are they being sarcastic? Upload audio for AI to check if words match tone and flag sarcasm or irony.
Select the AI model for audio analysis. Different models may have different capabilities.
Record audio directly from your microphone
Emotional Congruence Checker is an AI-powered tool that checks if spoken words match emotional tone, identifying potential sarcasm, irony, hidden emotions, or inauthentic expressions. It analyzes the alignment between verbal content (what is said) and vocal expression (how it is said), detecting when emotional tone matches or contradicts literal meaning. The tool examines instances where emotional tone either matches or contradicts words, notes potential sarcasm, irony, hidden emotions, or inauthentic expressions, and evaluates overall emotional authenticity. This makes it valuable for communication analysis, relationship counseling, content creators assessing authenticity, researchers studying emotional expression, or anyone wanting to understand emotional authenticity in communication.
Upload your audio content and the AI analyzes emotional congruence systematically. It examines the literal meaning of words spoken and compares it with emotional tone expressed through voice. Congruence detection identifies when tone matches words (authentic expression) or contradicts words (potential sarcasm, irony, or hidden emotions). Sarcasm detection looks for tone that contradicts positive words. Irony identification finds expressions where tone suggests different meaning. Hidden emotion detection identifies emotions expressed through tone but not words. Inauthenticity analysis evaluates whether expressions seem genuine. The tool provides detailed analysis of congruence patterns, identifying specific instances where alignment or misalignment occurs, explaining what indicates congruence or incongruence, and evaluating overall emotional authenticity. It helps you understand when communication is emotionally authentic versus when there might be underlying emotions or inauthentic expression.
Upload the clip and the AI compares what the words literally say against how they are delivered. Sarcasm usually shows up as a mismatch: positive words carried by flat, exaggerated, or sing-song tone. The result names the suspect moments, describes the mismatch it heard, and says how confident it is, instead of a flat yes or no.
Sarcasm lives in the gap between text and tone. The model listens for the classic markers: exaggerated stress on praise words, drawn-out vowels, a pitch contour that drops where sincerity would rise, and timing that feels performed. When the literal meaning and the vocal signal point in opposite directions, that contradiction is what gets flagged.
It can flag the signs. When someone says they are fine in a strained voice, or enthusiasm sounds rehearsed rather than felt, the analysis notes the discrepancy between stated and expressed emotion. What it cannot do is read minds: it describes inauthenticity cues in the audio, and you supply the context about the person and situation.
Congruence means the emotion in the voice matches the meaning of the words: saying something sad and sounding sad. Incongruence is the interesting part, since it covers sarcasm, irony, polite masking, and forced positivity. The checker reports where your clip sits on that spectrum and which specific moments pulled the words and tone apart.
Decent on clear cases, honest about ambiguous ones. Broad sarcasm with obvious tonal exaggeration is easy; deadpan delivery is genuinely hard because the whole point is sounding sincere. Cultural and personal speaking styles also vary, some people just sound flat. Treat the output as a second opinion on tone, not a verdict on what someone meant.
Natural conversation beats scripted reads, and you want the speaker clearly audible for at least 15 to 30 seconds. Texted words have no tone, which is exactly why people argue about them; a voice memo or call clip gives the analysis the vocal layer it needs. Crosstalk and background music blur the read, so cleaner is better.
What emotion is in this voice? Upload audio to detect happiness, sadness, anger, and mood shifts in speech or…
Is my audio accessible? Upload a clip for transcription, sound descriptions, and accessibility barrier checks.
Accent detector. Upload a voice recording and AI identifies your accent, regional dialect, and pronunciation…
How old do I sound? Upload a voice clip and AI estimates your age range from pitch, timbre, and articulation.
Is my voice masculine or feminine? Upload a recording and AI reads the three signals listeners use — pitch, r…
Deep voice test. Upload a recording and AI rates pitch, resonance, and bass quality on the voice depth spectr…