Genlook vs. FASHN AI
Both platforms offer virtual try-on APIs, but they have different focuses.
See why Genlook is the preferred FASHN alternative for developers needing broad category support and predictable performance.
The Short Verdict
FASHN AI
Best for general fashion generation
- ✓Full fashion suite (model-create, image-to-video, etc.)
- ✓Used by other AI startups
- ✗Variable generation time (5–17s depending on quality)
- ✗Primarily focused on standard garments
- ✗Quality-tier pricing matrix
Genlook
Best for production e-commerce apps
- ✓Dedicated engines for shoes, glasses, hats, jewelry, wigs
- ✓Predictable speed (~9s average)
- ✓Simple flat pricing ($0.08/credit, drops to $0.06 above 3,000 credits)
- ✓High-resolution, high-quality output by default
- ✓4-call REST flow, no SDK lock-in
Detailed Feature Comparison
Everything you need to know to make the right choice for your app.
Category Support
Generation Speed
Pricing Model
Output Quality
Integration
Broad Categories vs. Garment Focus
The core difference between FASHN and Genlook comes down to the breadth of categories supported and pricing predictability.
FASHN AI: The Fashion Suite
FASHN AI offers a comprehensive suite of fashion-related AI tools, including model creation and image-to-video capabilities.
When to choose FASHN: If you are building an AI startup that needs a wide variety of generative fashion tools beyond just virtual try-on, and you primarily deal with standard clothing.
Genlook: The Specialized Try-On Engine
Genlook focuses entirely on providing the best possible virtual try-on experience across the widest range of product categories.
Why Genlook wins for e-commerce: We ship dedicated engines not just for clothes, but for shoes, jewelry, wigs, hats, and glasses. Combined with our predictable generation times and flat pricing, it's the most reliable choice for a diverse catalog.
Why Developers Choose Genlook
Built for diverse catalogs and predictable scaling
Genlook is designed for developers who need to support more than just t-shirts and dresses.
Dedicated Category Engines
Virtual try-on for a ring requires a completely different approach than a jacket. Genlook uses custom, dedicated engines for shoes, glasses, hats, jewelry, and wigs to ensure maximum realism.
Predictable Performance
With Genlook, you get a consistent ~9s average generation time. No need to worry about variable wait times based on complex quality settings.
Transparent Flat Pricing
No confusing quality-tier matrices. Genlook charges a flat $0.08 per generation (dropping to $0.06 at volume). High resolution is included by default.
While FASHN provides a broad suite of generative tools, Genlook delivers a more specialized, reliable, and comprehensive virtual try-on API for e-commerce catalogs that span multiple product types.
FAQ
Frequently Asked Questions
Does Genlook support accessories?↓
How does Genlook's pricing compare to FASHN?↓
Is Genlook's API easy to use?↓
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