AI Watermark Detector
Check images for common visible marks, C2PA content credentials, Exif/XMP metadata, and experimental invisible-watermark or LSB steganography risk signals. 100% local processing — your images never leave your device.
How It Works
Upload Image
Drag & drop or click to upload any image. Supports PNG, JPG, and WebP up to 20MB.
Analyze Watermarks and Metadata
Our detector checks common visible watermark patterns and scans file headers for C2PA, Exif, XMP, and IPTC markers.
View Results
Get a detailed report showing watermark confidence, C2PA status, Exif data, and metadata analysis.
What We Detect
Visible Watermarks
The Gemini ✦ star logo in the bottom-right corner of AI-generated images
C2PA Signatures
Content Credentials manifests that identify AI-generated content
Exif Metadata
Camera info, GPS data, software tags that may reveal AI generation
XMP & IPTC Data
Extended metadata including creator tool, descriptions, and AI markers
Invisible Watermark Signals
Experimental pixel-statistical risk scoring for invisible watermark clues; cannot reliably confirm or rule out SynthID
LSB / Steganography Scan
Looks for simple or known-format least-significant-bit payloads and suspicious statistical signals
Frequently Asked Questions
How does the AI watermark detector work?
Our detector analyzes known visible watermark patterns such as the Gemini star logo, checks file headers for Exif data, C2PA manifests, XMP metadata, and IPTC tags, then runs experimental invisible-watermark and LSB steganography scans.
Can it check other AI image watermark clues?
Yes. It checks common visible watermark clues, C2PA/Exif/XMP/IPTC metadata markers, and experimental LSB/steganography risk signals. It still cannot reliably confirm or rule out proprietary statistical invisible watermarks such as SynthID.
Is my image uploaded to a server?
No! All detection happens 100% locally in your browser using the Canvas API and binary header analysis. Your image data never leaves your device.
What is C2PA metadata?
C2PA (Coalition for Content Provenance and Authenticity) is a standard that embeds provenance information in image files. Many AI tools like Adobe Firefly and some versions of DALL-E embed C2PA manifests that identify the image as AI-generated.
How accurate is the detection?
Visible watermark detection uses pixel-level pattern matching against known alpha maps, with confidence scores. Metadata detection is highly accurate as it reads the file's binary structure directly. Results show confidence levels so you can make informed decisions.
Can it detect invisible watermarks like SynthID?
The page now includes experimental pixel-statistical signal analysis, but it is not an official SynthID detector and cannot reliably confirm or rule out SynthID. Proprietary invisible watermarks usually require the official detector model, keys, or verification service.
What is the difference between invisible watermark detection and LSB scanning?
Invisible watermark detection looks for weak statistical pixel patterns. LSB scanning checks least-significant-bit planes, channel entropy, and known payload headers. Both are experimental risk checks, not proof that hidden data is definitely present or absent.
Need to remove a watermark?
Our free tool can remove the Gemini watermark from your images instantly.
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