Background removal API and self-hosted open-weight model for image matting
Free AI image generator agent to create, edit, and refine images from prompts or reference photos
Stage
Not given
Not given
Founded
2022
Not given
Based in
DE
Not given
Pricing model
Freemium
Freemium
Pricing
Pro Model API: 50 free credits on signup, then credit packs from €10 (100 credits at €0.10 each) to €500 (10,000 credits at €0.05 each), or equivalent monthly subscriptions. Open-weight model: Apache-2.0, free to self-host.
Free plan available with watermark. Starter: $9/month (Billed annually $108/year, 50% off regular $19/month or $228/year). Pro: $19/month (Billed annually $228/year, 50% off regular $39/month or $468/year). Max: $39/month (Billed annually $468/year, 50% off regular $79/month or $948/year). Credit Pa
Key features
Pro Model API with managed REST infrastructure in Frankfurt, Germany
Open-weight Apache-2.0 model for self-hosting on Python, Docker, or macOS
Alpha matte output for precise edge refinement
Refine feature with Keep and Remove brush strokes
Optimized for hair, fur, and complex edges
Native macOS app with batch processing and on-device Apple Silicon inference
GIMP 3.0 plugin for local background removal
Docker support with web UI and headless API
Create readable text in images
Web search integration during image creation
Reference image guidance
Focused image editing without regeneration
Multiple AI models for different purposes
Multiple style options
Adjustable aspect ratios
Commercial use license with paid plans
Private image generation
Watermark-free downloads with paid plans
What makes it different
Publishes benchmarked results comparing against alternatives including remove.bg with losses included
Same API schema for both managed API and self-hosted open-weight model for easy switching
RAM-only processing with no image storage or training on customer uploads
p95 latency of 1.95 seconds on managed API with EU hosting for GDPR compliance
No subscription lock-in with optional monthly billing or one-time credit packs
Agent-based refinement with focused follow-up instructions instead of full regeneration
Web search integration to base image details on real sources