How Erasio Works
A high-level look at the technology powering Erasio's AI engine — covering Google Gemini and Nano Banana watermark removal.
AI-Based Image Processing
Erasio applies advanced computational methods to analyze and reconstruct image data. Using calibrated reference patterns, the engine identifies and removes embedded watermark layers with high precision.
- Reference pattern calibration
- Pixel-level reconstruction
- Adaptive processing per image
Advanced Detection & Reconstruction
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
Browser-Native Architecture
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
Download Interception
The extension hooks into Gemini's download flow at the browser level, processing images transparently before they reach your file system. The experience is fully seamless.
- Native browser integration
- Pre-download processing
- Transparent to user workflow
Gemini & Nano Banana Pattern Recognition
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
Note: Erasio processes images entirely within your browser. We do not collect, store, or transmit any image data. Internal implementation details are proprietary. This page describes the technology at a high level only.