Zawa Launches AI Video Watermark Remover for Faster Video Cleanup and Content Reuse
Sydney, Australia, July 21st, 2026, FinanceWire
New AI-powered video watermark remover removes logos, subtitles, text, people and unwanted objects while reconstructing affected backgrounds.
Zawa, an AI-powered social content platform for brands and creators, is pleased to announce the launch of its Video Watermark Remover, a video cleanup tool designed to remove watermarks, subtitles, logos, text overlays, people and unwanted objects from video footage.
According to the company, the launch addresses a growing challenge in modern content production. A video may begin as an AI-generated clip, a social media post, an advertisement or a screen recording, yet it often needs to be adapted before it can be used in another campaign, language or publishing format. Embedded captions, outdated promotional dates, platform marks and obsolete brand elements can limit how easily that footage can be updated.
Until recently, removing these elements often required users to create masks, adjust individual frames or rely on basic removal tools that blurred the selected area. The process could become particularly difficult when a watermark moved across the screen, overlapped with a product or appeared near a person’s face.
To address these concerns, Zawa’s Video Watermark Remover uses artificial intelligence to detect unwanted visual elements, track them across frames and reconstruct the space they occupied. Rather than simply covering or blurring the selected area, the system analyzes the surrounding colors, textures and scene structure to create a more natural-looking result.
“Video content rarely stays in one format or on one platform,” says Zoey, Product Lead at Zawa. “A campaign may need new branding, translated subtitles or updated promotional information, but recreating the entire video is often unnecessary. We developed Zawa’s Video Watermark Remover to give users a more precise way to clean and adapt footage while protecting the people, products and other important details that should remain in the frame.”
At its core, the tool includes three specialized processing options. Smart Mode automatically analyzes the uploaded footage and determines how the selected content should be removed. Watermark Mode is optimized for logos, icons, graphical marks and other branded elements, while Subtitle Mode focuses on captions, subtitles and text overlays.
This specialized approach allows the system to apply different removal logic depending on the visual element being addressed. A line of subtitles at the bottom of a video, for example, presents a different reconstruction challenge from a moving logo positioned over a detailed product or person.
Zawa also separates important foreground subjects from the surrounding background. This helps reduce unintended changes to faces, people and products when a nearby mark or object is removed. Once the unwanted element has been identified, the affected portion of the background is reconstructed to blend with the surrounding frames.
The Video Watermark Remover can support several stages of a content workflow. Brands may use it to remove outdated dates, expired offers or former logos from advertising footage before adding current campaign information. Content teams can remove original subtitles before inserting translated captions for different markets. Screen-recorded tutorials can be cleaned by eliminating pop-up messages, corner labels or outdated interface text.
Not only that, but the tool can also assist with the authorized repurposing of videos created for different social platforms. Content owners may remove embedded platform marks before adapting their original footage for YouTube Shorts, Instagram Reels or other channels. Similarly, users working with authorized AI-generated footage can remove visible labels or watermarks before incorporating the video into a broader branded production, where such use is permitted by the applicable platform and licensing terms.
In addition to watermarks and subtitles, the system can remove background people, passersby, logos, text overlays and unwanted objects. These capabilities may be useful when an otherwise suitable clip contains a temporary obstruction or distracting visual element that would previously have required reshooting or extensive manual editing.
For larger production requirements, Zawa provides batch processing for as many as 30 video or image assets within a single workflow. Multiple cleanup functions can be applied during the process, allowing teams to address watermarks, subtitles, logos, people, text and objects without preparing each asset separately.
Users can preview the first five seconds of a processed result at no charge before deciding whether to continue with the complete video. Zawa is also developing expanded manual correction controls for complex scenes. These controls will allow users to create Erase Zones around content that should be removed and Protect Zones around visual details that must remain unchanged.
The launch expands Zawa’s collection of AI-assisted creative tools, which is designed to help brands, agencies, e-commerce businesses and content teams move from an initial creative asset to publishable content with fewer conventional editing steps.
Zawa’s Video Watermark Remover is available through the company’s online editor. Users are responsible for ensuring that they own, license or otherwise have permission to modify and republish any content processed through the platform.
For more information, please visit https://zawa.ai/.
About Zawa
Zawa is an AI-powered social content platform developed for brands, agencies, designers, creators and e-commerce sellers. Its growing suite of image, video and branding tools helps users produce, adapt and manage creative assets without requiring extensive design experience or large production teams. Zawa supports content workflows ranging from social media graphics and product imagery to video creation, remixing and visual cleanup for businesses operating across global markets.
Contact
Zawa Teaminfo@zawa.ai
Disclaimer. This is a paid press release.