Slazzer

Automatically detects and removes the background from a single image using deep learning models, preserving the subject in the foreground. Produces a transparent PNG output ready for use in design or e-commerce contexts.

Processes multiple images (100+) in a single batch operation, automatically removing backgrounds from all images simultaneously and delivering results in minutes. Dramatically reduces processing time compared to manual or single-image workflows.

Connects Slazzer to Zapier automation platform, enabling background removal to be triggered automatically as part of larger workflows. Allows images to flow from storage services, form submissions, or other sources directly into Slazzer without manual uploads.

Integrates Slazzer with Make.com (formerly Integromat) automation platform, enabling background removal to be embedded in complex multi-step workflows. Allows conditional logic, data transformation, and integration with hundreds of other apps.

Provides REST API endpoints for programmatic background removal, allowing developers to integrate Slazzer directly into custom applications, scripts, or internal tools. Supports authentication, batch requests, and webhook callbacks for asynchronous processing.

Provides 50 monthly credits on the free tier, allowing users to test the service and process a limited number of images before committing to a paid plan. Credits are consumed per image processed.

Offers flexible pay-as-you-go pricing with credit packages that scale based on usage volume. Allows teams to purchase credits in bulk at discounted rates and only pay for what they use.

Generates output images in PNG format with transparent backgrounds, preserving the alpha channel for seamless integration into design tools, web pages, and e-commerce platforms. Maintains subject quality while removing all background pixels.