Our advanced AI voice detection technology uses deep learning algorithms to analyze audio characteristics, speech patterns, vocal biomarkers, and spectral features. It compares these against extensive databases of both human and AI-generated voice samples to provide accurate detection results with detailed probability scores.

You can upload MP3, WAV, OGG, and M4A audio files for analysis. Our system handles these formats natively, ensuring accurate processing without quality loss or conversion issues. Each file is securely processed and results are delivered instantly.

Yes, our system is optimized for analyzing audio clips of various lengths, including short recordings. We use sophisticated chunk-based analysis that can process audio segments as brief as 4 seconds, making it ideal for voice messages, social media clips, and brief recordings.

Yes! We have an integrated AI noise removal feature that can filter out background music and noise to improve detection accuracy. Our advanced algorithms can separate voice from background elements, ensuring reliable results even in challenging audio environments.

Voice identification focuses on recognizing specific individuals, while our voice detection specializes in distinguishing between human and AI-generated voices. Our technology is designed specifically for deepfake detection and synthetic voice identification, providing essential protection against AI voice scams.

Absolutely. Our AI voice detection system is trained on diverse multilingual datasets and can accurately analyze voices across different languages and accents. This global approach ensures reliable detection regardless of the language spoken in the audio.

Our system achieves up to 99% accuracy for clear audio samples, making it one of the most reliable AI voice detectors available. We provide detailed probability scores and confidence levels for each analysis, backed by continuous model improvements and extensive testing across diverse voice samples.