VigilAI detects AI-generated voices and deepfake video calls in real-time — before scammers can trick you. Free, private, no install needed.
// detection engine
Three independent signal layers cross-verify each other — a single suspicious result triggers the alert.
Extracts 40 MFCC coefficients from audio. AI voices have unnaturally low spectral variance — we catch that instantly.
Tracks 468 facial landmarks via MediaPipe. Deepfakes rarely blink naturally — our model checks eye aspect ratio across every frame.
Deepfake masks "shimmy" slightly. We track nose bridge movement variance and Fourier spectral energy — both giveaways of generation artifacts.
// capabilities
Every detection module targets the specific artifacts that AI generation leaves behind — making VigilAI the most thorough free deepfake checker available.
Record directly from your microphone during a suspicious call. Analyze in real-time as it happens.
Audio · MFCCUpload any .wav or .mp3 audio — or .mp4 / .mov video — for a deep-scan verdict with confidence score.
WAV · MP3 · MP4One-click live webcam scan. The AI monitors 468 facial landmarks across every frame.
MediaPipe · 468 ptsReal humans blink. Deepfakes don't — at least not naturally. We check eye aspect ratio frame by frame.
Biological SignalAI-generated faces are too smooth. We use 2D FFT to detect missing high-frequency pixel data.
Spectral · DFTThree detection layers cross-verify every signal. One red flag is enough. Results in under 5 seconds.
Local · Private// try it yourself
// the story
VigilAI is a free, browser-based deepfake and AI voice fraud detection platform. It was created to give ordinary people the same fraud-detection capabilities that large organisations have — at zero cost.
As deepfake technology becomes cheaper and accessible to bad actors, so must the defences. VigilAI runs three independent detection layers simultaneously and delivers a verdict in under 5 seconds with no data ever leaving the user's device.
Mission: Make AI-powered voice and face verification instantly accessible to anyone on earth — free, private, and requiring zero technical knowledge to use.
Founder · Lead Developer · VigilAI
Abhishek Kumar is an Indian developer and the sole founder and creator of VigilAI. Driven by the rapid rise of AI-generated scam calls and deepfake video fraud targeting everyday people, he built VigilAI from scratch — combining Python, LibROSA, MediaPipe, and OpenCV into a single accessible, free tool. His goal: put real, enterprise-grade deepfake detection in the hands of anyone with a web browser, anywhere in the world.
// the builder
// faq
Everything about VigilAI and its founder, answered.
Abhishek Kumar is the founder and creator of VigilAI. He is an Indian developer who built VigilAI to protect people from AI-generated fraud. Follow him on Instagram @cdrnine.png or X @vigilai_x. Email: vigilai.online@gmail.com
VigilAI is a free, real-time deepfake and AI voice detection tool at vigilai.online. It uses three analysis layers — MFCC spectral fingerprinting, MediaPipe facial landmark tracking, and Fourier pixel analysis — to detect whether audio or video is AI-generated. No install or account required.
Yes — VigilAI is completely free. No subscription, no login, no installation. Visit vigilai.online and launch the detection app.
VigilAI runs three simultaneous checks: MFCC Voice Fingerprinting (AI voices have unnaturally uniform spectral patterns), Biological Blink Detection (deepfake faces rarely blink naturally), and Fourier Pixel & Jitter Analysis (AI video has missing high-frequency pixel data and facial "shimmy"). One suspicious signal triggers a warning.
Yes. VigilAI's MFCC spectral analysis detects the acoustic signatures of AI voice synthesis and voice cloning. Test a live mic recording or upload a WAV or MP3 file.
Abhishek Kumar built VigilAI after seeing the rapid rise of AI-generated scam calls and deepfake video fraud. He wanted to make real, enterprise-grade deepfake detection accessible to everyone — completely free of charge.
// get in touch
Questions, partnerships, or want to report a deepfake? Reach out directly.