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Technology

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.