AI Detector Help Center
Start with the curated guides below for ChatGPT detector checks, deepfake review, and academic integrity workflows. When CMS help articles are available, they appear in the searchable list.
Popular guides
- ProductsAI Video & Deepfake Detector Guide
Analyze uploaded videos for frame-level temporal consistency and deepfake artifacts.
- ProductsAI Image Detector Forensics Guide
Inspect still images for diffusion patterns from Midjourney, FLUX.1, and Stable Diffusion using FFT frequency analysis.
- ResourcesForensics Alternatives Guide
Compare AIGuardian with Reality Defender, Sightengine, and WasItAI.
- SolutionsDeepfake Review Playbook
Combine automated screening with provenance checks before publication or escalation.
- SolutionsGemini Multimodal Guide
Learn how Gemini visual and multimodal outputs affect authenticity verification workflows.
- BlogSora & Kling Video Forensics
Analyze temporal consistency and generative physics glitches in AI video clips.
- BlogSafe synthetic media review
A practical multi-step workflow for trust-and-safety and editorial teams.
- AccountPlans and quotas
Compare Free, Weekly, Monthly, Quarterly, and Annual credit limits for image and video detection.
- AccountContact support
Reach AIGuardian support for billing, institutional pricing, or product questions.
Frequently Asked Questions
- What makes deepfake video detection different from image checks?
- Deepfake video detection requires analyzing inter-frame temporal consistency, facial mesh stability, and biometric PPG signals across consecutive frames, while static image forensics focuses on spatial frequency (FFT) and diffusion noise.
- Can deepfake video evade detection through social media compression?
- While re-encoding can blur surface details, AIGuardian evaluates deeper mathematical artifacts, including frequency spectra and biometric temporal anomalies that survive recompression.
- How can I improve AI detector result quality?
- Submit high-resolution original media when possible, avoid heavy crop compression, and review results alongside artifact heatmaps.
- What should teams do when investigating suspected synthetic media?
- Treat detector output as probabilistic evidence, inspect frame-by-frame timestamps, check cryptographic provenance (C2PA/SynthID), and correlate with source channels.
- Where do I start if I am new to AIGuardian?
- Begin with the AI Video Detector or AI Image Detector for visual forensics, then explore solution playbooks for deepfakes and multimodal review.
- What should I do when a score looks ambiguous?
- Treat the result as a signal: inspect localized artifact heatmaps, examine biological reflections, and escalate for expert manual review.