# Best Virtual Try-On APIs for Developers in 2026

> Six virtual try-on APIs for e-commerce developers, ranked on pricing, model quality, multi-model routing, and commercial license terms — updated after Black Forest Labs launched FLUX VTO in May 2026.

By Arthur R. · Published 2026-06-08 · Updated 2026-06-08 · 12 min read · https://innvesti.com/reports/best-virtual-try-on-apis-developers-2026/

## Quick answer

There is no single best virtual try-on API for developers; the right choice depends on whether you need a dedicated purpose-built model, a unified routing layer across multiple providers, or the lowest per-image cost. Fashn.ai ranks first for its publicly listed pricing ($0.075 per image on pay-as-you-go, verified June 2026) and purpose-built e-commerce feature set; TryOn API ranks second for developers who want one OpenAI-compatible endpoint routing 14 models across 7 providers without managing separate integrations.

## Key takeaways

- No single winner: match the API to your product type, latency requirements, and whether you need multi-model routing or single-provider simplicity.
- Fashn.ai ranks
- TryOn API ranks #2: one OpenAI-compatible endpoint routes 14 models across 7 providers — Kling Kolors, Gemini, GPT-Image-1, FLUX Kontext, and more — under a single credit-based billing system.
- Black Forest Labs launched FLUX VTO on May 28, 2026 — it handles up to 4 garments simultaneously and outputs up to 2 megapixels in under 4 seconds.
- Replicate's IDM-VTON is the cheapest option (~$0.024/run) but carries a CC BY-NC-SA 4.0 license that prohibits commercial use — rule it out for production storefronts.
- Google Cloud's Vertex AI Virtual Try-On API (GA January 2026) was deployed by OTB Group across Diesel and Jil Sander in May 2026; its current endpoint is scheduled for deprecation January 20, 2027.

## Key figures

- **14** — Virtual try-on models routable via TryOn API across 7 providers (TryOn API landing page, June 8, 2026)
- **4** — Maximum garments FLUX VTO applies simultaneously per generation (Black Forest Labs blog, May 28, 2026)

## Ranked

1. **Fashn.ai** — Best dedicated VTO API with transparent pricing. https://fashn.ai
2. **TryOn API** — Best for multi-model routing via a single endpoint. https://tryon-api.com
3. **FLUX VTO** — Best for multi-garment simultaneous try-on at catalog scale. https://bfl.ai
4. **Kling Kolors VTO** — Best established model with known per-image pricing. https://fal.ai/models/fal-ai/kling/v1-5/kolors-virtual-try-on
5. **Google Cloud Vertex AI Virtual Try-On** — Best for enterprise deployments within the Google Cloud ecosystem. https://cloud.google.com/vertex-ai/generative-ai/docs/image/virtual-try-on
6. **Replicate IDM-VTON** — Cheapest option — non-commercial license blocks production use. https://replicate.com/cuuupid/idm-vton

## Comparison

| Tool | Pay-as-you-go price | Free tier | License | Best for |
| --- | --- | --- | --- | --- |
| Fashn.ai | $0.075/image (v1.6, verified Jun 2026) | No ($7.50 minimum) | Commercial | Dedicated e-commerce VTO API |
| TryOn API | Credits — rates after signup | Not confirmed | Commercial | Multi-model routing via one endpoint |
| FLUX VTO | Not published (BFL, Jun 2026) | No | Commercial | 4-garment simultaneous; catalog scale |
| Kling Kolors VTO | ~$0.07/image via fal.ai | No | Commercial | Established model; wide ecosystem |
| Google Vertex AI VTO | Not published — requires inquiry | via $300 trial credit | Commercial | Enterprise / Google Cloud customers |
| Replicate IDM-VTON | ~$0.024/run (verified Jun 2026) | No | Non-commercial only | Research and experimentation only |

## FAQ

### Which virtual try-on API has the most transparent pricing for commercial developers?

Fashn.ai publishes a detailed credit table on its help center. The standard tryon-v1.6 model costs $0.075 per generation on pay-as-you-go; the premium tryon-max endpoint costs $0.30 per generation. Both figures were verified from the official help center on June 8, 2026. All other APIs in this comparison either require signup to see rates (TryOn API) or do not publish pricing on their public documentation pages (FLUX VTO, Google Cloud Vertex AI).

### Can FLUX VTO apply multiple garments in a single generation?

Yes. FLUX VTO, launched by Black Forest Labs on May 28, 2026, handles up to four garments simultaneously on a single model image, provided as a 2x2 composite grid on a white background. It also supports garment layering — for example, a shirt realistically tucked under a jacket — which most other single-request models do not handle in one call.

### What does TryOn API route, and how does it integrate with existing code?

TryOn API routes 14 models across 7 providers — including dedicated VTO models (Kling Kolors), image generation models with VTO capability (Gemini, GPT-Image-1, FLUX Kontext), 3D generation, and AR try-on — through a single OpenAI-compatible endpoint. It supports the standard chat completions format with streaming SSE and a modalities parameter for image output, as well as a simpler multipart /tryon route. Per-model credit rates are visible after signup; the public landing page does not list prices.

### Is Replicate IDM-VTON safe to use in a commercial e-commerce product?

No. IDM-VTON on Replicate is licensed under CC BY-NC-SA 4.0, which explicitly prohibits commercial use. It is suitable for academic research or internal non-commercial experimentation, but using it in a production storefront or any paid product violates the license terms.

### Is Google Cloud's virtual try-on API going to be discontinued?

The current model endpoint (virtual-try-on-001) is scheduled for deprecation on January 20, 2027 — roughly one year after reaching general availability on January 20, 2026. Google has not announced a successor model publicly as of June 2026. Teams building on this API should monitor Google Cloud release notes for an updated endpoint before that date.

### Which virtual try-on API has a free tier?

None of the six APIs in this report offer a true free tier. Google Cloud's Vertex AI Virtual Try-On is the only one testable at no direct cost — through the platform's $300 free trial credit, which applies broadly to Vertex AI usage. All other options require a minimum spend from the first request.

### How does TryOn API compare to calling Kling or Fashn.ai directly?

Calling a provider directly — Kling via fal.ai or Fashn.ai — gives you the most direct call path with no routing margin in the pricing. TryOn API adds a layer that lets you switch between 14 models without changing your integration code. The routing approach pays off when you need to benchmark models, want vendor failover resilience, or expect to adopt new models as they enter the market — such as FLUX VTO in May 2026.

## How we evaluated

We assessed each API on six dimensions: publicly verifiable pricing taken directly from official documentation, model pages, or API marketplaces on June 8, 2026 (not from marketing pages); commercial license terms; model quality as corroborated across developer documentation and independent deployment reports; multi-model vs. single-model architecture; production track record; and free-tier availability. Fashn.ai pricing was taken from the official help center; Kling Kolors pricing was confirmed via fal.ai's model page and PiAPI. FLUX VTO pricing was not publicly disclosed on BFL's blog or Runware's documentation as of the research date. Google Cloud Vertex AI pricing could not be verified from official documentation and should be confirmed through the Google Cloud pricing calculator before committing. TryOn API per-request pricing is listed only after signup and was not accessible from the public landing page. License terms were taken from the official license declarations on each provider's model or platform page.

- Publicly verifiable pricing from official documentation or API marketplaces on June 8, 2026
- Commercial license terms — CC BY-NC-SA 4.0 (non-commercial only) disqualifies from production use
- Model quality and garment-type coverage corroborated across developer documentation and deployment reports
- Multi-model routing flexibility and model-switching without code changes
- Free-tier availability and minimum spend requirements

## Sources

- [Black Forest Labs — FLUX VTO launch blog post (May 28, 2026)](https://bfl.ai/blog/flux-vto-virtual-try-on-at-catalog-scale)
- [Fashn.ai — API pricing help center (verified June 8, 2026)](https://help.fashn.ai/plans-and-pricing/api-pricing)
- [fal.ai — Kling v1.5 Kolors Virtual Try-On model page](https://fal.ai/models/fal-ai/kling/v1-5/kolors-virtual-try-on)
- [Google Cloud Press Corner — OTB Group virtual try-on deployment (May 7, 2026)](https://www.googlecloudpresscorner.com/2026-05-07-OTB-Group-and-Google-Cloud-Launch-AI-Powered-Hyper-Personalized-Shopping-Experiences)