How to Remove Gemini Watermarks from Multiple Images at Once

If an image you own or are authorized to edit contains a visible Gemini or Nano Banana mark, an image inpainting editor can attempt to fill the marked pixels. EraseKit lets you paint a selection and, when the mark appears at the same relative position, reuse that selection across a batch. It does not automatically detect every mark.

Use this only for images you own or have permission to modify, including your own AI-generated images. Do not remove marks from stock previews, proofs, or images you are not licensed to edit. EraseKit is independent and is not affiliated with or endorsed by Google, Gemini, or Nano Banana.

Visible marks versus invisible provenance

A visible watermark is a pattern of pixels in the image. You can mark those pixels with a brush or rectangle and ask an inpainting model to generate a replacement based on surrounding context. The generated patch is an estimate; it cannot reveal the original hidden pixels.

Invisible provenance systems such as SynthID are a different matter. Editing the visible mark does not remove an invisible SynthID watermark, and it does not guarantee removal or preservation of other provenance metadata. EraseKit does not inspect or verify invisible markers.

Remove a visible mark with EraseKit

1. Open the Gemini watermark editor and load PNG, JPG/JPEG, or WebP images. The interface accepts up to 30 images in one session.
2. On one image, paint over the entire visible mark. Include its full edge, but avoid covering nearby detail unnecessarily.
3. For multiple images, use Apply to all only when the watermark occupies the same relative coordinates in the other images. Review each result before downloading.

The first edit may require the inpainting model to download and initialize. Image processing runs in your browser, while the website and model resources still load over the network. EraseKit uses ONNX Runtime Web with WebGPU where available and WebAssembly as a fallback.

When a shared selection is appropriate

Suppose a set of images was exported with a small logo added at the lower-right corner and the framing is consistent. A single selection around that corner can map proportionally to the other images. It can save repetitive painting when the mark size and position remain aligned.

The feature repeats coordinates; it does not search each image for a watermark. A different crop, orientation, aspect ratio, or mark placement can cause the mask to cover the wrong region. If positions differ, edit images individually or use the general watermark remover one image at a time.

Improve the chance of a clean reconstruction

Inpainting is more difficult when a mark crosses a face, text, a thin edge, or a detailed pattern. A logo over plain sky or a softly textured wall gives the model more uniform context than one over foliage, fabric, lettering, or repeating tiles. Large selected areas can also require more invented content.

Use a tight but complete selection, include shadows or outlines only when they are part of what you intend to remove, and inspect the result at full size. Look for blurred patches, bent lines, repeated texture, or fragments of the original mark. Large selected regions may be processed at reduced resolution and scaled back, which can soften detail. If the result is not suitable, try a revised selection or a conventional editor with more precise reconstruction tools.

Keep a responsible editing record

Keep the original file and compare it with the edited result. If the image is used in a context where provenance matters, disclose that it was edited. Removing a visible mark does not grant permission to publish or commercially use the underlying image.

For a fuller explanation of the batch workflow, see batch watermark removal. For other photo cleanup tasks, start at the EraseKit object remover.