> ## Documentation Index
> Fetch the complete documentation index at: https://docs.aigenstudio.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Choose an image tool

> Select the right endpoint for each image workflow.

AI Gen Studio exposes separate endpoints instead of one overloaded request shape. Choose the endpoint that matches the work you want to automate.

| Tool              | Endpoint                  | Use it for                                                                              |
| ----------------- | ------------------------- | --------------------------------------------------------------------------------------- |
| Remove Background | `POST /remove-background` | Transparent, white, or replacement backgrounds.                                         |
| Image Editing     | `POST /image/edit`        | Structured cleanup: resize, crop, relight, polish, upscale, shadow, background cleanup. |
| Image AI Edit     | `POST /image/ai-edit`     | Natural-language edits on source images.                                                |
| AI Background     | `POST /scene/create`      | Product placement in generated commerce scenes.                                         |
| Image Generation  | `POST /image/generate`    | New images from prompts.                                                                |
| Ad Creative       | `POST /ad/create`         | Campaign-style visuals from product images.                                             |

## Structured vs prompt-driven

Use `POST /image/edit` when your app can express the desired edit as structured options. Use `POST /image/ai-edit` when a product-specific instruction is required.

For catalog pipelines, structured options are easier to validate and repeat. Prompt-driven edits are best for edge cases or creative workflows.