LTX2.3 3.5 Series Suite | Subtitle Watermark Removal

This is an AI video restoration application for video subtitle, watermark, and overlay text removal.

Users only need to upload a video with subtitles, watermarks, lyrics, title text, or overlay text, and the system will automatically process and restore the video, attempting to remove these overlay elements and reconstruct the background areas obscured by the text.

Unlike ordinary video cropping or blur masking, this process does not simply paint over the subtitle area. Instead, it uses a video restoration model to regenerate the frames obscured by the text. It strives to match the original video’s colors, textures, lighting, shadows, motion blur, camera movements, and temporal continuity, making the restored areas look more natural.

The entire process is automated: source video reading, video frame extraction, original audio preservation, restoration prompt encoding, reverse prompt constraint, video size adjustment, Bernini video restoration condition construction, high-noise sampling reconstruction, low-noise sampling refinement, VAE decoding, video recomposition, and final video export.

The final output is a video that retains the original characters, actions, camera movements, background, lighting, rhythm, and audio as much as possible, while reducing subtitle remnants, text ghosting, smudging, flickering, and restoration artifacts.

It is suitable for short video subtitle removal, video watermark removal, lyric subtitle cleaning, overlay text removal, secondary creation material cleaning, ad video restoration, old material remastering, video background reconstruction, and packaging into RunningHub video applications.

If packaged as a RunningHub application, the core selling point can be directly expressed as:

Upload a video with subtitles or watermarks, and generate a clean and natural restored version with one click.