Kling AI published a September 22, 2026 guide comparing four background remover workflows for images and videos: Kling AI, Leonardo, Canva and CapCut. The guide says the best choice depends on what users need to keep, what should replace the background, and whether the task involves a product cutout, a moving video subject or a completely new scene. Kling AI is positioned for images and videos using prompts and reference images, Leonardo for image assets and API processing workflows, Canva for social graphics and presentations, and CapCut for presenter clips and social videos.

Kling AI’s workflow combines image and video background editing rather than stopping at basic cutouts. Kling IMAGE 3.0 Omni can isolate a subject for a transparent image or rebuild the surrounding scene while preserving product or subject details. The guide says prompt-based editing lets users describe the desired background, reference images can guide visual direction, and IMAGE 3.0 Omni supports 2K and 4K output for product visuals, campaign assets and other high-resolution creative work. Kling VIDEO 3.0 Omni can remove, replace or rework video backgrounds with natural-language instructions without requiring footage shot against a green screen. A reference image can help define a new environment while keeping the original subject, movement and camera perspective central to the edit.

Leonardo is described as an image-only option with automated background removal and a documented background-removal API for applications or image-processing workflows. The guide separates background removal, generation and upscaling into different operations: separating a subject, creating a setting or adding image detail. It also warns that API capabilities may not appear in the visual editor, especially when users plan bulk processing.

Canva is presented as an image-and-video design editor where background removal sits alongside text, graphics, social posts and presentations. Its photo editor includes erase and restore brushes for edge cleanup or recovering details, and the editor supports video background removal. The guide says access depends on plan and entry point, and Canva AI does not currently support the video background removal feature available in the editor. CapCut is described as a video editor with automatic subject detection, manual refinement controls and chroma key (removing a selected background color) for suitable green-screen or blue-screen footage. The guide says controls can differ across desktop, web and mobile, and users should check hair, hands and moving-object edges before export.

For image cutouts, the guide recommends starting with a clear source file, strong subject contrast, even lighting and sharp edges. In Kling AI, users upload an image and describe what should stay and what should be removed; for reusable cutouts, the prompt should explicitly request a transparent background. The guide advises checking hair, thin straps, glass, small gaps, product shape, color, labels and texture, and confirming that the saved file is genuinely transparent rather than merely showing a checkerboard pattern.

For video background edits, the guide says users upload a clip to Kling VIDEO 3.0 Omni and provide a short description of which subject should stay and which background parts should be removed or changed. It gives an example prompt asking a cat motorcycle ride to move through five settings in sequence: a country road at dusk, a country road at night, a road lined with golden autumn trees, a snow-covered road and a coastal road beside the sea. The guide says the edit should preserve the cat, motorcycle, rider’s gloved hands and original camera perspective while adapting lighting and reflections to each setting.

For e-commerce images, the guide says one product cutout can support a listing page, store banner or seasonal campaign. Product listings should preserve shape, color, packaging and visible text while meeting marketplace image requirements. Design assets should be checked against both light and dark backgrounds, and campaign visuals can use Kling AI to explore new background directions while preserving defining product details. The guide flags fine hair, transparent materials, reflective surfaces, narrow openings, crop, scale and consistent background treatment as areas requiring review. It also says users managing a large catalog should verify batch-processing support separately. The FAQ states that Kling AI

Kling AI published a September 22, 2026 guide comparing four background remover workflows for images and videos: Kling AI, Leonardo, Canva and CapCut. The guide says the best choice depends on what users need to keep, what should replace the background, and whether the task involves a product cutout, a moving video subject or a completely new scene. Kling AI is positioned for images and videos using prompts and reference images, Leonardo for image assets and API processing workflows, Canva for social graphics and presentations, and CapCut for presenter clips and social videos.

Kling AI’s workflow combines image and video background editing rather than stopping at basic cutouts. Kling IMAGE 3.0 Omni can isolate a subject for a transparent image or rebuild the surrounding scene while preserving product or subject details. The guide says prompt-based editing lets users describe the desired background, reference images can guide visual direction, and IMAGE 3.0 Omni supports 2K and 4K output for product visuals, campaign assets and other high-resolution creative work. Kling VIDEO 3.0 Omni can remove, replace or rework video backgrounds with natural-language instructions without requiring footage shot against a green screen. A reference image can help define a new environment while keeping the original subject, movement and camera perspective central to the edit.

Leonardo is described as an image-only option with automated background removal and a documented background-removal API for applications or image-processing workflows. The guide separates background removal, generation and upscaling into different operations: separating a subject, creating a setting or adding image detail. It also warns that API capabilities may not appear in the visual editor, especially when users plan bulk processing.

Canva is presented as an image-and-video design editor where background removal sits alongside text, graphics, social posts and presentations. Its photo editor includes erase and restore brushes for edge cleanup or recovering details, and the editor supports video background removal. The guide says access depends on plan and entry point, and Canva AI does not currently support the video background removal feature available in the editor. CapCut is described as a video editor with automatic subject detection, manual refinement controls and chroma key (removing a selected background color) for suitable green-screen or blue-screen footage. The guide says controls can differ across desktop, web and mobile, and users should check hair, hands and moving-object edges before export.

For image cutouts, the guide recommends starting with a clear source file, strong subject contrast, even lighting and sharp edges. In Kling AI, users upload an image and describe what should stay and what should be removed; for reusable cutouts, the prompt should explicitly request a transparent background. The guide advises checking hair, thin straps, glass, small gaps, product shape, color, labels and texture, and confirming that the saved file is genuinely transparent rather than merely showing a checkerboard pattern.

For video background edits, the guide says users upload a clip to Kling VIDEO 3.0 Omni and provide a short description of which subject should stay and which background parts should be removed or changed. It gives an example prompt asking a cat motorcycle ride to move through five settings in sequence: a country road at dusk, a country road at night, a road lined with golden autumn trees, a snow-covered road and a coastal road beside the sea. The guide says the edit should preserve the cat, motorcycle, rider’s gloved hands and original camera perspective while adapting lighting and reflections to each setting.

For e-commerce images, the guide says one product cutout can support a listing page, store banner or seasonal campaign. Product listings should preserve shape, color, packaging and visible text while meeting marketplace image requirements. Design assets should be checked against both light and dark backgrounds, and campaign visuals can use Kling AI to explore new background directions while preserving defining product details. The guide flags fine hair, transparent materials, reflective surfaces, narrow openings, crop, scale and consistent background treatment as areas requiring review. It also says users managing a large catalog should verify batch-processing support separately. The FAQ states that Kling AI