SynthGuard: An Open Platform for Detecting AI-Generated Multimedia with Multimodal LLMs

TL;DR

SynthGuard is an open platform that leverages multimodal large language models to detect and analyze AI-generated multimedia, offering explainability and accessibility for researchers, educators, and the public.

Contribution

It introduces a comprehensive, open-source platform combining traditional detectors and multimodal LLMs for multimedia AI detection with transparency and educational features.

Findings

Supports both image and audio detection

Provides explainable inference for user understanding

Accessible interface for diverse users

Abstract

Artificial Intelligence (AI) has made it possible for anyone to create images, audio, and video with unprecedented ease, enriching education, communication, and creative expression. At the same time, the rapid rise of AI-generated media has introduced serious risks, including misinformation, identity misuse, and the erosion of public trust as synthetic content becomes increasingly indistinguishable from real media. Although deepfake detection has advanced, many existing tools remain closed-source, limited in modality, or lacking transparency and educational value, making it difficult for users to understand how detection decisions are made. To address these gaps, we introduce SynthGuard, an open, user-friendly platform for detecting and analyzing AI-generated multimedia using both traditional detectors and multimodal large language models (MLLMs). SynthGuard provides explainable inference, unified image and audio support, and an interactive interface designed to make forensic analysis accessible to researchers, educators, and the public. The SynthGuard platform is available at: https://in-engr-nova.it.purdue.edu/