Pilio is an online tool that removes Gemini watermarks from images and short videos. It addresses the need for creators to obtain clean versions of AI-generated visual content by automatically detecting and eliminating logos, stars, and other watermarks.
The service is optimized for Gemini logo and star watermarks while also handling other common types. It uses AI-powered cleanup that locates the watermark and restores the surrounding area with high precision. Users upload an image or short video, after which the system selects the best processing method and performs removal in the cloud. Supported image formats include PNG, JPG, and WebP. Supported video formats include MP4, MOV, and WebM. Results show the original file with watermark alongside the cleaned version.
Processing occurs entirely in the browser-based interface with no software installation required. The tool works on any device including phones, tablets, and computers. Operation follows three steps: upload the file by choosing it or dragging and dropping, allow the AI to remove the watermark, and download the clean result. Transparent pricing displays the exact number of credits needed before processing begins, with images charged per file and videos charged by duration. Free credits are available to start.
It functions as a specialized watermark removal service for Gemini-generated media.
In the Other image editing space, Free Gemini Watermark Remover Online takes a focused approach. It focuses on removing unwanted Gemini AI watermarks and logos from generated images and videos without manual editing. It is built as a consumer product for AI image and video creators. A free plan is available. Free Gemini Watermark Remover Online is available on the web.
Behind Free Gemini Watermark Remover Online is Pilio, and it first shipped in 2025. The project is developed in the open on GitHub with 5k stars and 104 commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 6 similar projects. Key capabilities include AI Watermark Removal, Image Processing, and Video Processing. The interface is available in 19 languages, including Arabic, German, and English.
Summary written by a language model from the project’s public pages.
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