Measured data · Updated live

Live deepfake detection index

Real results from media the public runs through our free detectors — how much is flagged AI, which generators we actually catch, and where suspect clips come from. Every number below is measured, not modeled. It's early and small; it grows as more people check.

Media analyzed
518
since September 10, 2026
Flagged AI / manipulated
186
36% (186 of 518)
Cloned-voice detections
2
synthetic audio caught
Generators identified
35
distinct models so far

Read this before quoting a percentage. This is a small, self-selected sample: people run media through the tool because they already suspect it. So the 36% flag rate (186 of 518 checks) reflects that suspicion, not how much of the internet is fake. Treat these as transparent detector logs, not a population estimate.

Notice on Probabilistic Forensics: All counts reflect automated model confidence scores crossing detection thresholds. They describe detected algorithmic signals and do not constitute definitive factual certifications or legal determinations.

Generators we've actually identified

measured, not ranked by market share

The generative models our detector attributed on flagged media so far. Counts are deliberately shown raw — with a sample this size, a share percentage would be noise.

Model identifiedMedia typeTimes detected
ByteDance Seedance 2video33
Gemini 3image16
GPT-Image 1.5image11
Unattributedimage11
Bytedance Seedance 2video10
Stable Diffusionimage10
Alibaba Wanvideo7
Ai Audiovideo7
Qwenimage7
Openai Gpt Imageimage6
MiniMax Hailuovideo5
Unattributedvideo5
Flux (Black Forest Labs)image5
C2pa Syntheticimage5
Fluximage4
Sora2video3
Alibaba Wanimage3
4oimage3
Veo3video2
Minimax Hailuovideo2
Higgsfieldimage2
Flux2image2
Meta Movie Genimage2
xAI Grok Imageimage2
Meta Movie Genvideo1
Kling Aivideo1
Gemini 3video1
Imagen4video1
Ltxvideo1
Kreavideo1
Tencent Hunyuanimage1
Bytedance Seedance 2image1
Minimax Hailuoimage1
Maiimage1
Kling AIimage1

Where submitted video came from

How people brought video to the detector — a direct upload, or a link to a platform we resolve.

Direct upload165 (73%)
YouTube18 (8%)
Facebook14 (6%)
Instagram13 (6%)
Other link6 (3%)
X / Twitter5 (2%)
TikTok5 (2%)
Video checks226 analyzed
92 flagged (41%)
Verify a video →
Image checks292 analyzed
94 flagged (32%)
Verify an image →

Methodology & limits

  • Every figure is a live aggregate over real checks run through our public detectors since September 10, 2026, recomputed daily.
  • Verdicts come from multi-model frame and spectral analysis; a file is “flagged” when AI-generation, face-swap, or synthetic-voice signals cross the detection threshold.
  • Our own testing traffic is excluded. The sample is self-selected — users check media they already doubt — so figures describe what people bring us, not the internet at large.
  • The sample is currently small (518 files). We publish raw counts and show the sample size everywhere precisely so nobody over-reads a percentage. It gets more meaningful as volume grows.
Journalistic & Academic Resource

Cite This Data

Free to cite — please keep the sample-size context. Every figure is measured, not estimated.

Sealed Rose. (2026, October 29). Live Deepfake Detection Index [Data set]. https://sealedrose.com/tracker

Have media you need to verify?

Check videos, voice notes, or face images with Sealed Rose's free multi-model forensic pipeline — and your check becomes part of this index.