Protecting truth in
the age of AI
DeepGuard is an AI-powered media forensics platform that helps individuals, journalists, enterprises, and governments detect manipulated content — including AI-generated images, deepfake videos, cloned voices, and machine-written text.
We believe that in a world where synthetic media is becoming indistinguishable from reality, accessible and transparent detection tools are essential to maintaining trust in digital communication.
Our Principles
Transparency
We clearly disclose our detection methods, accuracy benchmarks, and limitations. Our multi-engine approach shows per-engine scores so you know exactly what each detector found.
Privacy First
All uploaded files are processed in isolated environments and deleted immediately after analysis. We never store your content or use it for model training.
Accuracy Over Claims
We use real third-party detection APIs (SightEngine, Illuminarty) alongside our own models. We report actual accuracy from benchmark testing, not marketing claims.
Global Accessibility
Available in 13 languages with a generous free tier. We offer 50% discounts for NGOs, academic institutions, and independent journalists.
How Our Detection Works
We combine multiple independent detection engines and weight their results to reduce false positives. Here is how each media type is analyzed:
Image Detection
Production4 enginesMulti-engine: SightEngine (GAN/diffusion detection), Illuminarty (AI probability), LLM visual analysis, and our own CLIP-based model. Scores are weighted and combined for a final verdict. Pixel-level heatmap regions are generated to highlight suspicious areas.
Video & Audio Detection
Beta1 engine + LLMCurrently powered by LLM-based multimodal analysis examining visual artifacts, temporal consistency, spectral patterns, and prosody. We are actively integrating dedicated deepfake detection models for higher accuracy.
Text Detection
BetaLLM analysisLLM-based analysis using perplexity, burstiness, and stylometric signals. Provides sentence-level AI probability scoring. Dedicated text detection API integration is planned.