LTX2.3 Suite 3.5 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 containing subtitles, watermarks, lyrics, title text, or overlay text, and the system will automatically repair the video frames to remove these overlay elements as much as possible while reconstructing the background area obscured by the text.

Unlike ordinary video cropping or blur masking, this process does not simply paint over the subtitle area but uses a video restoration model to regenerate the frames blocked by the text. It strives to match the original video's colors, textures, lighting, shadows, motion blur, camera movement, and temporal continuity, making the repaired area look more natural.

The entire process is completed automatically: source video reading, video frame extraction, original audio retention, repair 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 as much as possible the original subjects, actions, camera movements, background, lighting, rhythm, and audio, while minimizing subtitle residue, text ghosting, smudges, flickering, and repair artifacts.

It is suitable for removing subtitles from short videos, removing video watermarks, cleaning up lyric subtitles, removing overlay text, cleaning up secondary creation materials, repairing advertisement videos, remastering old footage, reconstructing video backgrounds, 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.