Invisible Watermark Checker

Detect LSB steganography, AI invisible watermarks, and suspicious patterns — all in your browser, no upload

Drag and drop files here or click to select

JPG, PNG, WebP, BMP — one image, up to 20 MB

LSB Steganography Analysis

Error Level Analysis (ELA)

Frequency Domain (FFT)

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About Invisible Watermark Checker

As AI-generated images become ubiquitous, platforms embed invisible watermarks to track content origin or prove AI authorship. This browser-based tool analyzes images for several types of hidden markers: LSB steganography (data hidden in the least significant bits of pixels), AI watermarks (C2PA / Content Credentials metadata, or frequency-domain embeddings like Tree-Ring), and signs of image manipulation via Error Level Analysis.

Four complementary techniques run automatically: LSB bit-plane visualization with statistical analysis, Error Level Analysis (ELA), 2D Frequency Spectrum (FFT), and metadata scanning for AI generation tags. All processing happens in your browser — no data leaves your device.

How to Use?

Click the upload area or drag-and-drop an image file (JPG, PNG, WebP, or BMP).
The tool automatically runs four analyses: LSB, ELA, FFT, and metadata scan. Wait a moment for the results.
Review the verdict summary and click each analysis tab to explore the visual output and detailed statistics.

Notes:

ELA is most meaningful on JPEG images. PNG/WebP files (lossless) will show higher ELA values due to the format conversion — this does not necessarily indicate a watermark.
LSB detection is statistical. A "suspicious" score means unusually random LSB patterns; it does not confirm a specific hidden message.
Frequency-domain AI watermarks (e.g., Tree-Ring) can only be conclusively verified using the original secret key. This tool highlights visual anomalies in the spectrum.

Frequently Asked Questions

What is an invisible watermark?

An invisible watermark is data embedded in an image that cannot be seen with the naked eye. It may encode copyright information, AI model attribution, or tracking data. Common types include LSB steganography, frequency-domain embeddings, and C2PA/Content Credentials stored in metadata.

What is LSB steganography?

LSB (Least Significant Bit) steganography hides data in the lowest-order bit of each pixel channel (R, G, B). This causes minimal visible change but can be detected by analyzing the statistical distribution of bit planes — images with hidden LSB data show unusually random (high-entropy) bit patterns.

What AI watermarks can this tool find?

The tool scans image metadata for C2PA/Content Credentials tags and AI generator labels (DALL-E, Midjourney, Stable Diffusion, etc.), checks the frequency spectrum for ring-shaped anomalies common in Tree-Ring watermarks, and uses ELA to detect injected pixel regions. Definitive verification of some AI watermarks still requires the original secret key.

What does Error Level Analysis (ELA) show?

ELA re-compresses the image at a standard JPEG quality and highlights areas that compress differently from the rest. Uniform regions normally produce low ELA values. Areas with high ELA (shown as bright spots) may indicate previous editing, compositing, or watermark injection.

Is my image uploaded to a server?

No. The entire analysis runs locally in your web browser using JavaScript and the HTML5 Canvas API. No image data is transmitted to any server — your image stays completely private.