AI Magic Eraser

Upload an image and paint over any object, text, or blemish to instantly remove it.

Flawless Object Deletion directly in your browser

An advanced, client-side inpainting utility engineered to reconstruct backgrounds, remove blemishes, and delete unwanted objects with microscopic accuracy.

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Navier-Stokes Algorithm

Utilizes the powerful mathematical OpenCV INPAINT_NS engine to seamlessly match surrounding textures, lighting, and geometric structures in milliseconds.

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Ultra-Lightweight Engine

Compiled directly into WebAssembly (WASM). At under 3MB, this logic layer initiates instantly across both desktop hardware and mobile devices without heavy network loads.

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100% Local Privacy

Your images are processed directly inside your browser. No data is ever transmitted, intercepted, or saved to cloud servers. Total security for sensitive photography.

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Precision Brushing

Dynamic, adjustable brush controls allow for targeting tiny skin blemishes, power lines, or massive background objects with absolute precision and undo-history.

System Requirements & Compatibility

Because this tool executes computer vision logic locally, your browser must support modern WebAssembly standards.

Hardware Specs

  • Memory (RAM)Minimum 2GB required. Can operate on entry-level mobile devices.
  • ProcessorWebAssembly supported CPU required. Hardware acceleration utilizes available GPU.

Supported Browsers

Chrome DesktopVersion 90+
Chrome AndroidVersion 90+
Firefox DesktopLatest
Safari / WebKitVersion 15+

Frequently Asked Questions

What makes local AI object deletion better than cloud processing?

Local processing requires no network latency, meaning brush gestures and object removal happen directly in memory without transferring heavy photos over the web. It is also 100% private, ensuring no images are ever stored on remote databases.

What file sizes and formats are supported?

We support common image formats including PNG, JPEG, and WEBP. The local loader checks and allows images up to 15MB. Clear, uncompressed source files yield the best context for the mathematical model to reconstruct background pixels.

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