Comparison hub
Botika vs FASHN vs the rest: 14 tools, five scored dimensions, one matrix. Every number below came from our own paid accounts and the same 12-garment control set.
These are hands-on scores, not vendor-supplied ratings. No competing resource in this category publishes numeric scores at all, which means there is nothing to cross-check us against — so the methodology is published in full on how we test and score every tool. Every AI clothes changer below was run on our own paid account against the same control garments, so the columns are directly comparable rather than copied from marketing pages.
| Tool | Overall | Garment fidelity | Cost per usable image | Batch & API | License clarity | Price from | Best for |
|---|---|---|---|---|---|---|---|
| FASHN.ai #1 | 8.7 | 9.1 | 9.4 | 9.0 | 7.6 | from $9/mo | Best overall, and the cheapest credible API |
| Botika #2 | 8.2 | 8.0 | 7.2 | 8.1 | 8.6 | from $33/mo (annual) | Best end-to-end replacement for a flat-lay photoshoot |
| Nightjar #3 | 8.1 | 8.3 | 8.4 | 7.8 | 7.9 | ~$0.10/image | Best for Shopify sellers who want per-image pricing |
| Claid.ai #4 | 7.8 | 7.6 | 8.0 | 8.5 | 7.8 | from $9/mo | Best all-rounder when try-on is only part of the job |
| Genlook #5 | 7.7 | 7.5 | 8.6 | 7.4 | 8.0 | Free, up to $99/mo | Best customer-facing fitting room, and the most honest free tier |
| WeShop AI #6 | 7.4 | 7.3 | 7.9 | 6.8 | 7.2 | from $9.99/mo | Best budget on-model generator for small catalogs |
| Photoroom #7 | 7.3 | 7.0 | 7.8 | 8.4 | 7.6 | from $9.99/mo | Best batch throughput for high-volume listing cleanup |
| On-Model #8 | 7.2 | 7.4 | 7.0 | 6.4 | 7.4 | from EUR 19/mo | Best low-commitment entry point for European sellers |
| Modelia #9 | 7.1 | 7.2 | 6.6 | 7.6 | 7.2 | from $35/mo | Best 4K output with API access at a mid-tier price |
| WearView #10 | 7.0 | 7.2 | 6.4 | 6.6 | 8.2 | from $29/mo | Best licensing clarity, if you can live without a free tier |
| VModel #11 | 6.8 | 6.9 | 8.2 | 6.8 | 6.6 | Pay-as-you-go | Best pay-as-you-go option with real free credits |
| Antla #12 | 6.6 | 6.8 | 6.2 | 6.5 | 7.0 | from $19.99/mo | Storefront try-on widget for English-language stores |
| The New Black #13 | 6.4 | 6.6 | 7.4 | 5.8 | 6.4 | Credit packs from $5 | Cheapest way to experiment, capped at 1K output |
| Veesual #14 | 6.3 | 6.9 | 5.4 | 6.2 | 6.6 | from $50/mo | Enterprise fitting room, priced and paced accordingly |
These are the columns vendors never standardize. Input types, output resolution, batch, API, storefront integration, video and commercial license — the operational facts that decide whether a tool fits your workflow.
| Tool | Category | Input types | Max resolution | Batch | API | Shopify app | Video | Cost per image |
|---|---|---|---|---|---|---|---|---|
| FASHN.ai #1 | On-Model Generator | flat-lay, hanger, mannequin, on-model, selfie | 4K (Pro), 576x864 base | Yes | Yes | No | No | $0.075/image via API |
| Botika #2 | On-Model Generator | flat-lay, hanger, mannequin, packshot | 4K (Advanced) | Yes | No | No | Yes | Roughly $1.10/usable image at entry tier |
| Nightjar #3 | On-Model Generator | flat-lay, hanger, mannequin, packshot | 2048x2048 default, 4K upscale | Yes | No | Yes | No | ~$0.10/image |
| Claid.ai #4 | Retouch & Background | flat-lay, packshot, on-model | 4K native | Yes | Yes | No | No | $0.09 to $0.50/image depending on operation |
| Genlook #5 | Customer-Facing Fitting Room | selfie, on-model | Web display resolution | No | No | Yes | No | $0.10 to $0.17 per extra try-on |
| WeShop AI #6 | On-Model Generator | flat-lay, packshot, on-model | HD | No | Yes | No | No | Roughly $0.30 to $0.60/usable image |
| Photoroom #7 | Retouch & Background | flat-lay, packshot, on-model | 4K on higher tiers | Yes | Yes | Yes | No | Around $0.025/export on batch plans |
| On-Model #8 | On-Model Generator | flat-lay, hanger, packshot | HD to 2K | No | No | No | No | Roughly EUR 0.40 to 0.80/usable image |
| Modelia #9 | On-Model Generator | flat-lay, packshot, on-model | 4K | Yes | Yes | No | No | Roughly $0.35 to $0.70/usable image |
| WearView #10 | Customer-Facing Fitting Room | selfie, on-model, packshot | 4K | No | No | No | No | Roughly $0.58 to $0.90/usable image |
| VModel #11 | On-Model Generator | flat-lay, on-model, selfie | HD | No | Yes | No | No | ~$0.02 per swap at signup credit rate |
| Antla #12 | Customer-Facing Fitting Room | selfie, on-model | Web display resolution | No | No | Yes | No | Varies by plan and session volume |
| The New Black #13 | On-Model Generator | flat-lay, packshot | 1K (hard cap) | No | No | No | No | ~$0.12/generation |
| Veesual #14 | Customer-Facing Fitting Room | selfie, on-model | Web display resolution | No | No | No | No | Varies by contract and session volume |
Brand-side generators and customer-facing fitting rooms are not competitors — they are different products. Comparing their scores across the line is a category error; compare within a category, then across price.
| Brand-side generator | Customer-facing fitting room | |
|---|---|---|
| Primary user | Catalog and production team | The shopper on your product page |
| Where it lives | Studio and asset workflow | Storefront widget or app |
| Output | Reusable marketing imagery | An in-session interactive render |
| Pricing model | Per image or per seat | Per session or monthly platform fee |
| Integration effort | Export and upload | App install, widget or API |
| Success metric | Cost per usable image | Conversion lift and return rate |
Unfamiliar with the split? Read virtual try-on explained.
Botika scores 8.2/10 from from $33/mo (annual); FASHN.ai scores 8.7/10 from from $9/mo. End-to-end catalog shoots versus flat-lay fidelity and API workflows.
| Botika | FASHN.ai | |
|---|---|---|
| Composite | 8.2/10 | 8.7/10 |
| Garment fidelity | 8.0 | 9.1 |
| Cost per usable image | 7.2 | 9.4 |
| Entry price | from $33/mo (annual) | from $9/mo |
| API | No | Yes |
| Max resolution | 4K (Advanced) | 4K (Pro), 576x864 base |
Botika full review and test scores | FASHN.ai full review and test scores
Claid.ai scores 7.8/10 from from $9/mo; Photoroom scores 7.3/10 from from $9.99/mo. Budget general product imagery at a similar entry price.
| Claid.ai | Photoroom | |
|---|---|---|
| Composite | 7.8/10 | 7.3/10 |
| Garment fidelity | 7.6 | 7.0 |
| Cost per usable image | 8.0 | 7.8 |
| Entry price | from $9/mo | from $9.99/mo |
| API | Yes | Yes |
| Max resolution | 4K native | 4K on higher tiers |
Claid.ai full review and test scores | Photoroom full review and test scores
Nightjar scores 8.1/10 from ~$0.10/image; On-Model scores 7.2/10 from from EUR 19/mo. Usage-based per-image pricing versus a flat monthly subscription.
| Nightjar | On-Model | |
|---|---|---|
| Composite | 8.1/10 | 7.2/10 |
| Garment fidelity | 8.3 | 7.4 |
| Cost per usable image | 8.4 | 7.0 |
| Entry price | ~$0.10/image | from EUR 19/mo |
| API | No | No |
| Max resolution | 2048x2048 default, 4K upscale | HD to 2K |
Nightjar full review and test scores | On-Model full review and test scores
Genlook scores 7.7/10 from Free, up to $99/mo; WearView scores 7.0/10 from from $29/mo. Free-tier storefront try-on versus a paid-only entry plan.
| Genlook | WearView | |
|---|---|---|
| Composite | 7.7/10 | 7.0/10 |
| Garment fidelity | 7.5 | 7.2 |
| Cost per usable image | 8.6 | 6.4 |
| Entry price | Free, up to $99/mo | from $29/mo |
| API | No | No |
| Max resolution | Web display resolution | 4K |
Genlook full review and test scores | WearView full review and test scores
Cost efficiency here means published price divided by the share of generations that survived quality control — not the vendor's headline per-image rate. Against human production at $25–$75 per basic listing image and $100–$500+ per lifestyle image, even the weakest tool in this table wins on price alone; the question is whether the output ships.
Amazon wants 1,600px minimum and 2,000px recommended; Shopify recommends 2,048×2,048 and accepts up to 5,000×5,000. Amazon additionally requires AI-generated imagery to be labeled and bars it from the main listing image.
| Tool | Max resolution | Amazon 2,000px | Shopify 2,048px |
|---|---|---|---|
| FASHN.ai | 4K (Pro), 576x864 base | Pass | Pass |
| Botika | 4K (Advanced) | Pass | Pass |
| Nightjar | 2048x2048 default, 4K upscale | Pass | Pass |
| Claid.ai | 4K native | Pass | Pass |
| Genlook | Web display resolution | Not published | Not published |
| WeShop AI | HD | Not published | Not published |
| Photoroom | 4K on higher tiers | Pass | Pass |
| On-Model | HD to 2K | Pass | Pass |
| Modelia | 4K | Pass | Pass |
| WearView | 4K | Pass | Pass |
| VModel | HD | Not published | Not published |
| Antla | Web display resolution | Not published | Not published |
| The New Black | 1K (hard cap) | Not published | Not published |
| Veesual | Web display resolution | Not published | Not published |
Solo Shopify seller under 50 SKUs
FASHN.ai · 8.7/10
Low fixed cost matters more than throughput at this volume.
Agency batching 500+ images a month
FASHN.ai · 8.7/10
API access and queue throughput dominate the economics.
Brand needing one consistent house model
Botika · 8.2/10
Identity consistency across a whole catalog is the binding constraint.
Patterned, printed or sheer garments
FASHN.ai · 8.7/10
Garment fidelity is where mid-tier tools visibly fail.
Storefront try-on widget for shoppers
Genlook · 7.7/10
This is a different product category, not a cheaper version of the same one.
Evaluating before committing budget
FASHN.ai · 8.7/10
A real free allowance lets you run your own garments before paying.
Want the opinionated ordering instead of the matrix? Our full ranking of the best AI virtual try-on tools .
This comparison covers compliant, safe-for-work virtual try-on and fashion-imagery tools only. Applications built to produce non-consensual or explicit imagery are permanently excluded from every table on this site.
On privacy, we check three things per tool: whether uploads are retained, whether they feed model training by default, and whether a documented deletion path exists. Vendors who leave those undocumented are scored down on license clarity. See our privacy policy and terms and affiliate disclosure.
Botika scores 8.2/10 against FASHN.ai at 8.7/10. Botika starts at from $33/mo (annual); FASHN.ai starts at from $9/mo. Pick by workflow, not by score alone: end-to-end catalog shoots versus flat-lay fidelity and api workflows.
FASHN.ai takes the top composite at 8.7/10 across our 14-tool test group, best for best overall, and the cheapest credible API. FASHN.ai leads specifically on garment fidelity at 9.1/10.
Yes. 12 of the 14 tools we tested publish a free allowance, typically a small monthly credit grant. Free output is often watermarked or restricted to non-commercial use, so read the license before putting it on a listing.
Accuracy depends almost entirely on the garment. Plain solids and simple silhouettes come out clean across most tools; repeating patterns, legible logos, sheer fabrics and structured tailoring are where scores separate. That is why our control set is weighted toward hard cases.
Per-image cost across this group runs from roughly $0.075 to about $1.00, plus subscriptions between $9 and $99 a month. FASHN.ai currently leads cost per usable image at 9.4/10, because rejected generations still consume credits.
The reported effect is real but the evidence is mostly vendor-sourced. Zalando published a 40% return decrease in its Levi's pilot, and apparel carries a ~26% return rate while making up 56% of ecommerce returns. Treat single-pilot numbers as directional, not as an industry benchmark.
Yes, with two constraints. Amazon requires AI-generated imagery to be labeled and prohibits it from serving as the main listing image, and images need 1,600px minimum with 2,000px recommended. Your tool's own commercial license at your plan tier is a separate question.
It varies, and vendors document it unevenly. We check retention policy, whether uploads feed model training by default, and whether a deletion path exists. Tools that leave those questions unanswered are scored down on license clarity and flagged in their individual review.
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We re-run the control set on every major model release and re-verify pricing monthly. Corrections and vendor re-test appeals: hello@removeclothing.com.