This is an AI video processing application based on LTX 2.3 IC LoRA Outpaint Video Aspect Ratio Expansion.
Users only need to upload a video, set the target width and height, and provide prompts for frame expansion. The system will then expand the original video to the new aspect ratio.
Unlike ordinary video cropping, stretching, or adding black borders, this process does not simply change the frame size. Instead, it intelligently generates new environmental content outside the original frame based on the video content, character movements, scene structure, and prompts, enabling the video to adapt to a wider or taller aspect ratio.
The entire process is completed automatically: source video reading, frame rate reading, video frame extraction, target aspect ratio setting, original video scaling, canvas filling, expansion area construction, LTX 2.3 IC LoRA guidance, video redrawing and generation, gamma correction, video frame synthesis, original audio retention, and final video output.
The final output is a video with an expanded aspect ratio, which retains as much of the original video’s characters, movements, shot rhythm, and main content as possible, while naturally extending the background and scene content outside the original frame.
It is suitable for vertical-to-horizontal screen conversion, horizontal-to-widescreen conversion, short video aspect ratio expansion, video edge padding, ad video revisions, YouTube horizontal screen adaptation, Xiaohongshu/Douyin content repackaging, AI video reconstruction, and RunningHub video application encapsulation.
If packaged as a RunningHub application, the core selling point can be directly expressed as:
Upload a video, set the target ratio, and expand the aspect ratio intelligently with one click.


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