AI-powered background removal API for images and video
A typed decision API for routing, classification, and scoring
Stage
Not given
Not given
Founded
Not given
Not given
Based in
DE
CA
Pricing model
Freemium
Paid
Pricing
Free plan: 100 credits/month. Pro: $9/month (2,000 credits). Mega: $29/month (10,000 credits). Ultra: $99/month (50,000 credits). Giga: $299/month (200,000 credits). From $0.002 per image or $0.45 per minute of video on volume plans.
$0.040 USD per million input tokens; output is free
Key features
AI-powered background removal for images and video
Hair-level precision handling complex edges like fur and hair
Under 2 seconds per image processing time
REST API with Python and TypeScript SDKs
Support for up to 6K resolution and 36 megapixels
Transparent PNG, WebP and video output formats
n8n, Zapier, Make and MCP integrations
Bulk and batch processing for thousands of images
99.9% uptime guarantee
GDPR compliant with no model training on user images
Choice question type with multiple options and probability scores
Boolean question type for true/false judgments with probability
Score question type with min/max range and level probabilities
Filter list endpoint for ranking JSON items by instruction match
Support for image and audio input with Crossroads-M model
Idempotency keys for safe retries without duplicate charges
Rate limiting with 120 requests per minute default and 4 concurrent requests
Multiple question types per request with single round trip
What makes it different
Drop-in replacement for remove.bg before its shutdown on 1 December 2026
Simple, transparent billing with no hidden fees or complex credit math
Developer-first experience with clear documentation and easy integration
One unified credit pool for both images and video processing
Returns probability scores for every answer to guide decision-making confidence
Supports image and audio analysis alongside text with dedicated audio-trained model
Filter lists by instruction match without writing text generation code
Typed output constrains format while preserving flexible judgment logic