Composed Fit vs FASHN
Composed Fit is a complete AI styling platform. FASHN is a virtual try-on API for developers. Different layers of the stack — here's how they compare.
Feature Comparison
| Feature | Composed Fit | FASHN |
|---|---|---|
| Model | AI styling platform | Try-on API only |
| Stylist | AI (Claude-powered) | No |
| Try-On | Virtual (via FASHN) | Virtual (API) |
| Bespoke Design | Yes | No |
| Body Scanning | Yes (3DLOOK) | No |
| Catalog | 30,000+ products | None |
| Pricing | $19/mo (unlimited) | Pay-per-API-call |
| Commitment | None | None |
| Returns | N/A (buy direct) | N/A |
Frequently Asked Questions
What is FASHN?
FASHN is a virtual try-on API. It takes a photo of a person and a photo of a garment, then generates an image of the person wearing that garment. It is a developer tool (an API), not a consumer product. It has no styling, no product catalog, no recommendations, and no way to buy clothes.
How is Composed Fit different?
Composed Fit is a complete AI styling platform. It uses FASHN's try-on technology as one component, but adds AI styling (Claude-powered), a 30,000+ product catalog, body scanning, bespoke design, and outfit recommendations. FASHN is a tool; Composed Fit is the product built on top of tools like FASHN.
Can I use FASHN directly to try on clothes?
Only if you are a developer integrating the API, or using an app that has integrated it. FASHN does not offer a consumer-facing app for browsing and trying on clothes. Composed Fit wraps FASHN's try-on in a full styling experience — you get recommendations first, then try them on with one click.
Does Composed Fit use FASHN?
Yes. Composed Fit integrates the FASHN API for its virtual try-on feature. But Composed Fit's value goes far beyond try-on: AI styling, product discovery, body scanning, and bespoke design. FASHN handles the image generation; Composed Fit handles the entire fashion experience around it.