Erasio applies advanced computational methods to analyze and reconstruct media data. Using calibrated reference patterns, the engine identifies and removes embedded watermark layers with high precision — across single images and every frame of a video.

• Reference pattern calibration
• Pixel-level reconstruction
• Adaptive processing per image and frame

The watermark detection system locates the mark's footprint by comparing luminance and color channel data. The reconstruction phase restores the underlying original content without visible artifacts.

• Multi-channel analysis
• Artifact-free reconstruction
• Sub-pixel accuracy

For video, Erasio decodes the clip with the browser's WebCodecs API, removes the watermark from each frame with the same reconstruction engine used for stills, then re-encodes a clean MP4 — copying the original audio track across untouched.

• WebCodecs decode & re-encode
• Per-frame watermark removal
• Original audio preserved

All processing runs inside the Chrome Extension using the browser's built-in Canvas and WebAssembly APIs. There is no server, no cloud uploads, and no third-party processing — ever.

• Canvas API rendering
• No network calls for processing
• Zero data exposure

The extension hooks into Gemini's download flow at the browser level, processing images and videos transparently before they reach your file system. The experience is fully seamless.

• Native browser integration
• Pre-download processing
• Transparent to user workflow

Erasio maintains a library of known Gemini watermark signatures, including the Nano Banana compact-overlay pattern. The engine automatically selects the correct removal strategy based on the detected pattern, ensuring accurate reconstruction across all Gemini model outputs.

• Multi-pattern signature library
• Nano Banana compact overlay support
• Automatic pattern detection & selection