SynthID Watermark
Detector & AI Image Checker
Upload any image or video to detect Google SynthID signatures, Imagen 3 fingerprints, and latent AI-generation markers — free, instant, no account required.
SynthID
Google Watermark
DALL-E
OpenAI Images
Midjourney
MJ Fingerprints
22 MB
Max File Size
Forensic Watermark Analysis
Upload an image or video to map pixel-level SynthID signatures, frequency anomalies, and embedded AI watermarks from Imagen 3, DALL-E, and Midjourney.
SynthID Media Scanner — Under Development
This feature is currently being upgraded with a more powerful detection engine. Stay tuned — it will be available very soon!
Detect invisible digital watermarks injected by Google Imagen, Midjourney, DALL-E, and other generative pipelines. Fully private — no images are stored.
Drag & drop your image or video here
Supports PNG, JPG, WebP, MP4, WebM up to 22 MB
Or try a demo preset
Awaiting Upload
Upload an image or video on the left to run pixel-frequency analysis and SynthID watermark detection.
Deep Forensic Analysis of Google SynthID
Learn why imperceptible watermarking is the gold standard for content authenticity, search ranking compliance, and safe AI integration.
How SynthID Watermarking Works
Google SynthID embeds a digital signature directly into pixel-value variations of images. Unlike metadata tags — which are lost when files are cropped or compressed — SynthID alters subtle visual noise patterns in the frequency domain, mathematically engineered to be imperceptible yet perfectly decodable.
By analyzing these spatial-frequency distributions, our scanner discovers these hidden layers instantly, certifying whether the asset was generated inside Google Imagen or similar diffusion pipelines.
Why Validate AI-Generated Visuals?
Search engines are upgrading their crawlers to inspect files for generative markers. Under Google's E-E-A-T criteria, undisclosed bulk AI media is subject to ranking penalties if it fails to establish genuine helpfulness.
Running a digital audit gives creators full control — confirm whether renders carry automatic embeds, structure appropriate markup, and pass search audits without friction.
Visual Watermark Format Comparison
How Google SynthID compares to metadata and overlay techniques
| Watermark Style | Robustness | Visibility | Detection Method |
|---|---|---|---|
| Google SynthID Latent | Ultra-High | Invisible to human eye | SynthID Scanner |
| EXIF / IPTC Metadata | Ultra-Low | Invisible to human eye | Deleted by any metadata stripper |
| Visible Logo Overlays | Medium | Highly visible / distracting | Visible in basic scan |
| Adversarial Visual Noise | High | Microscopic dither patterns | Machine visual learning |
Frequently Asked Questions
Q.Can SynthID watermarks be removed by taking a screenshot?
No. Google SynthID is engineered to withstand routine edits. Crop adjustments, resizing, format changes (JPEG to PNG), and screenshots do not remove the layered mathematical noise pattern. Our scanner reads frequency domain properties and can detect remnants even after compression.
Q.Does the SynthID Detector support videos or just images?
Both. If you upload an MP4 or WebM video, we analyze spatial layouts and keyframe structures to identify frame latency markers corresponding to Google Veo, OpenAI Sora, or typical generative pipelines.
Q.Is my uploaded media privately processed?
Completely. All analysis runs in isolated volatile memory per request. No images or videos are stored, logged, or used for model training. The tool is GDPR and CCPA compliant.
Q.Does cropping or compressing an image destroy the SynthID watermark?
Standard crops and metadata wipes do not alter deep frequency-domain watermarks like SynthID because they are embedded directly into pixel gradient ratios across the entire image canvas.