Pixelcut's API mainly serves small and medium-sized developer teams that need image processing capabilities, especially for: e-commerce platform technology departments, content management SaaS developers, social application engineering teams, and so on. Through a simple API call, you can get the same AI processing power as Pixelcut's main site.
Four core API interfaces are currently open:
- Background Remover API:Automatically remove background service, support real-time return transparent PNG, call delay control within 300ms, suitable for integration into the product release system
- Image Upscaler API:Resolution enhancement interface with 2x/4x zoom support, including noise reduction and sharpening parameter configurations. Can be used for automatic optimization of user uploaded images
- Generate Background API:Dynamically generate product style background image, accept text/color/style multi-dimensional parameters, suitable for building intelligent design tools
- Magic Eraser API:Object removal service, can specify the coordinate area to automatically repair the screen. Post-audit image processing for social platforms
Technology highlights include: response compression (average savings of 40% bandwidth), batch mode (single support for 100 images), developer console real-time monitoring. Documentation shows integration of mainstream languages (Python/Node.js/Java) takes only 2-3 hours on average.
This answer comes from the articlePixelcut: a one-click AI tool for editing photosThe
