Learn: the research behind the signals
By the RedFlag team
RedFlag measures body-language and voice signals in video. These explainers cover what the peer-reviewed research actually says about each signal — including the parts that cut against the hype. No technology can detect lies, and we say so on every page; what can be measured is where a speaker's signals diverge from their own baseline.
Can AI detect lies from video? What the evidence says
Short answer: no — and any tool that claims otherwise is overselling. What the research supports instead, and what is honestly measurable in a video.
Blink rate and deception: what the research shows
Do people blink more under pressure? The evidence on blink suppression, the post-load rebound, and why only person-relative baselines make sense.
Does your voice change under stress? Pitch, monotony and the evidence
What decades of paralinguistics research says about pitch under cognitive strain — and why commercial voice-stress analyzers scored at chance.
Cognitive load in speech: pauses, fillers and speaking rate
Thinking hard leaks into speech. The research on pauses, speech rate and fillers, and what a careful listener (or analyzer) can actually pick up.
Want the exact thresholds and test procedure behind the verdict? Read How RedFlag scores a video.
See the signals for yourself. Paste any public YouTube video with a single speaker into the RedFlag analyzer — the face and voice analysis runs in your browser, free, no signup. RedFlag is not a lie detector; it shows you where the signals diverge and leaves the judgment to you.
Open the analyzer