NEW YORK, United States – 24th June 2026 – Airbrush announced the launch of its AI Watermark Remover, a new feature added to the Airbrush web platform designed to remove watermarks, logos, timestamps, and unwanted text from images and videos while preserving overall visual consistency and detail.
The AI Watermark Remover uses machine learning models to identify and reconstruct areas occluded by watermarks or other overlays, analyzing surrounding textures, colors, and patterns before generating replacements intended to blend with the original content. The capability addresses common editing needs such as the desire to remove watermark from video content as well as still images, and to quitar marca de agua from archived or repurposed visual assets intended for professional use.
The launch was accompanied by enhancements to the existing image quality enhancer functionality within the platform. The image quality enhancer operates alongside the watermark removal workflow to reduce artifacts and restore fine detail after reconstruction, supporting tasks that range from sharpening slightly blurred images to restoring color consistency across edited frames. The combined workflow aims to melhorar qualidade da foto for output destined for social media, ecommerce listings, and presentation materials.
Airbrush positioned the new feature to support a range of straightforward editing scenarios. Typical use cases include removing logos from marketing imagery, cleaning up screenshots, eliminating timestamps and text overlays from recorded footage, and preparing visuals for product photography and social channels. The company noted that the feature is relevant where users must quitar marca de agua for editorial or archival restoration and where teams need to remove watermark from video clips without undertaking frame-by-frame manual retouching.
The technical approach relies on contextual synthesis rather than copy-and-paste fills, which allows the tool to generate content that reflects underlying textures and lighting. This approach is intended to limit visible seams and preserve continuity across reconstructed areas, and it operates in tandem with the platform’s existing options to улучшить качество фото through targeted enhancement operations. The watermark removal process includes controls for selecting the area to be reconstructed and for adjusting the intensity of the enhancement output.
Airbrush cited international demand for integrated editing workflows that both remove unwanted overlays and improve underlying image clarity. Markets in Latin America and other regions frequently request features to quitar marca de agua while maintaining consistent visual standards, and users searching in multiple languages employ terms such as melhorar qualidade da foto and улучшить качество фото when seeking solutions. The company framed the new feature as part of an ongoing expansion of tools aimed at simplifying routine editing tasks for creators, marketers, and small teams that manage visual assets.
The rollout of the AI Watermark Remover follows iterative testing within Airbrush’s platform and updates to the model training data to better handle a variety of watermark styles, sizes, and placement scenarios. Product documentation and in-platform guidance describe accepted file types and recommended workflows for combining watermark removal with the image quality enhancer to achieve intended results.
About Airbrush
Airbrush develops web-based tools for AI-assisted photo and video editing, including features for removing overlays, restoring images, and enhancing clarity. The company offers model-driven editing workflows that combine automated reconstruction with targeted enhancement operations. Airbrush serves creators, marketers, and teams that manage visual assets across digital channels.
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