CatalogX vs FASHN — a Factual Comparison

Two fashion-AI tools with different centers of gravity: FASHN is a fashion generation platform and API; CatalogX is particularly focused on fashion catalog production and garment fidelity. We paid for FASHN credits and tested both on the same garments.

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At a Glance

FASHNCatalogX
CategoryFashion generation platform & APIAI fashion catalog production
Best forStyling outfits, instruction-driven editing, API buildersProducing accurate, listing-ready catalogs from real garment photos
Quality checkNo review against your original in the workflow we testedEvery render reviewed against your original photo; Quality mode re-shoots below-bar images free on Pro and above
Ethnic-wear inputsGeneral garment upload; no saree-zone inputs in the workflow we testedSeparate uploads for saree body, pallu, border and blouse
Speed (measured)~25–30s per generation~30s per generation
Garment fidelity approachGeneration-led; styling can add items not in your photoMeasure-then-anchor, output reviewed against your original, targeted re-shoots
Catalog workflowPer-image generationProjects, bulk runs, SKU filenames + manifest.csv, marketplace export
South Asian garments (measured)Flagship try-on rendered a kurti as a maxi dress in our testDedicated ethnic-wear playbooks: pleats, pallu, dupatta, hem anchoring

Which Tool for Which Job

Where FASHN is the better fit

FASHN's styling engine is genuinely impressive: in our paid test it composed a four-item flat-lay into one coherent styled look — even adding shoes to complete the outfit. If you want creative outfit generation, instruction-driven editing breadth, or a well-documented API to build on, FASHN is a strong, mature choice.

Where CatalogX is the better fit

The same test showed the trade-off: a system that adds shoes you never photographed is styling, not product photography — and FASHN's dedicated try-on rendered our maroon kurti as a maxi dress. CatalogX is built for the opposite job: reproduce the exact garment, measured and reviewed, then scale that across a catalog with Projects, SKU manifests and marketplace exports. Batch up to 20 garments per run, keep them in Projects, and export with 20 marketplace presets at no extra cost.

Simple USD Pricing

Free

$0

5 credits on signup — no card

Starter

$9.99/mo

30 images/month

Pro

$19.99/mo

100 images/month

Business

$49.99/mo

260 images, 4K, API

Agency

$149.99/mo

900 images/month

One credit = one generated image. Every plan is also a one-time pack at the same price — no subscription required. Unused credits roll over. Commercial use and no watermarks on every plan, free included. Full pricing & plan comparison →

Frequently Asked Questions

For catalog work, CatalogX. It measures the garment first, anchors the render to it, and reviews every output against your original photo — print, colour, neckline and hem. On Pro and above, Quality mode re-shoots below-bar images at no extra credit. FASHN is the stronger pick for creative styling, where adding items to complete a look is the point.

Five paid generations on FASHN (August 2026): outfit styling from a flat-lay was excellent; speed ~25–30s matched CatalogX; their flagship try-on failed on a maroon kurti, returning a maxi dress — the garment category error CatalogX's ethnic-wear playbooks exist to prevent.

Every new account gets 5 free generations — no credit card. Paid plans are $9.99/month (Starter, 30 credits), $19.99/month (Pro, 100 credits), $49.99/month (Business, 260 credits with 4K output and API access) and $149.99/month (Agency, 900 credits). Each is also available as a one-time purchase at the same price, and one credit is one generated image. Commercial use is included on every plan, free included — no watermarks.

Test it on your hardest garment

The comparison that matters is on your own product. 5 free generations, no card, results in 30 seconds.

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Keep Exploring

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Competitor details were verified in September 2026 from public product pages and, where stated, hands-on paid testing. Vendors change features — check their sites for current information. Corrections: [email protected].