> For the complete documentation index, see [llms.txt](https://docs.qolaba.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.qolaba.ai/image-generation/image-editing/background-removal.md). # Background Removal Background Removal automatically detects the subject of an image and removes the background — producing a clean, isolated subject ready for use in design, marketing, and content workflows. *** #### What Background Removal Does The tool analyzes the uploaded image, identifies the primary subject, and removes everything behind it. The output is a clean image with the subject isolated — typically exported with a transparent background ready for placement on any new background or design layout. **Common use cases:** * Product photography — isolate products for e-commerce listings and marketing materials * Headshots and portraits — remove backgrounds for professional profile images or team pages * Design compositing — extract subjects for use in posters, banners, and creative layouts * Social media assets — create clean, versatile visuals for use across multiple backgrounds * Marketing creatives — prepare subjects for placement on brand-consistent backgrounds *** #### How to Use Background Removal * **Step 1 —** Open **Image Editing → Background Removal** from the workspace. * **Step 2 —** Upload the image you want to process, or select one from your generation history. * **Step 3 —** Review the credit cost displayed. * **Step 4 —** Click **Generate**. The tool processes the image and returns the subject with the background removed. * **Step 5 —** Download the output or use it as a reference input for a new generation. *** #### Tips for Clean Background Removal Results 1. **Use images with clear subject separation** The tool performs best when there is strong visual contrast between the subject and background. High-contrast images with a clearly defined subject edge produce the cleanest removal. 2. **Avoid complex or busy backgrounds when possible** Images with intricate backgrounds — dense foliage, patterned surfaces, or multiple overlapping elements — may produce less precise edges. Simpler backgrounds consistently yield cleaner results. 3. **Use high-quality, well-lit source images** Blurry, low-resolution, or poorly lit images make subject detection less accurate. A sharp, well-exposed source image produces a significantly cleaner output. 4. **Review edges after processing** Check the subject edges in the output before using it in a design. Fine details like hair, fur, or transparent elements may require additional refinement in a design tool if precision is critical. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.qolaba.ai/image-generation/image-editing/background-removal.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.