On-Model
AI fashion imagery for e-commerce catalogs and campaigns.
At a glance
- Editor score9.8 / 10
- PricingFree plan · paid from €17/mo (annual) · 14-day trial
- Best forTeams needing reusable models and automation
- Free planYes
- Virtual model generationYes
- Facts checked20 Sep 2026
Where it wins
- Custom digital twins and reusable AI model identities
- Batch processing, folder uploads, and team presets
- REST API with webhooks and bulk downloads
Where it doesn't
- Free images are watermarked and restricted to private, non-commercial use
- Free plan limits output to 25 images per month
- API access starts with the Basic plan
Our verdict on On-Model
On-Model is a web-based AI fashion content platform from PiktID for fashion brands, retailers, studios, freelancers, and e-commerce teams. It turns flat-lay and other product photos into on-model imagery, creates product packshots, recolors garments, replaces models in existing photography, and supports reusable AI model identities. Custom model uploads can become digital twins, while detail repair and image editing support further production work. The service is available through the web and API, with commercial usage available through paid credits.
The plan structure covers both occasional production and recurring catalog work. Free includes 75 credits per month, up to 25 images, 10 AI models, 1080p output, watermarked images, and community support. Basic is shown at €17 per month with annual billing and adds 120 credits, up to 40 images per month, 15 AI models, 4K output, email support, and API access. Pro is shown at €89 per month with annual billing and includes 800 credits, up to 260 images per month, 50+ AI models, 4K output, team collaboration, and priority support. Enterprise adds unlimited credits, images, and models, plus custom integrations, a dedicated account manager, and an SLA guarantee. Pay-as-you-go provides 5,000 credits, with top-ups that do not expire.
Its strongest fit is a team that needs consistent model identities across many product images rather than one-off image creation. Batch processing, shared identities, presets, webhooks, and bulk downloads support repeatable workflows, while the REST API can connect image production to broader systems. The 14-day trial provides time to evaluate the workflow before committing. Smaller users can start free, but watermarks and private, non-commercial restrictions make that tier less suitable for published store or campaign imagery. Choose On-Model for reusable identities and production automation; consider another option if you need unrestricted commercial output at no cost or do not need fashion-specific model workflows.
On-Model pricing
All 5 On-Model plans and prices →
On-Model fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Virtual model generation | Yes |
| Model input | Both |
| Apparel swap | Yes |
| Custom model upload | Yes |
| Maximum output resolution | Not verified |
| Commercial usage | Yes |
| API access | Yes |
| Free trial | 14 days · no card needed |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, GDPR |
| Support | Email, Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan · paid from €17/mo (annual) · 14-day trial (source) |
| Website | on-model.com |
| Facts checked | 20 Sep 2026 |
Alternatives to On-Model
- Bandy AIA broad AI studio for creating fashion imagery, try-on visuals, videos, and commerce assets.7.2
- SnaproomA flexible AI fashion studio with 4K output, try-on, video, and commercial licensing.8.0
- AmplyarAffordable apparel content creation with try-on, video, batch processing, and 4K paid output.7.0
See all On-Model alternatives →
On-Model vs the competition
- On-Model vs Bandy AI
- On-Model vs Snaproom
- On-Model vs Amplyar
- On-Model vs Modelia
- On-Model vs FASHN AI
- On-Model vs Fit It On
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On-Model is listed in our AI Fashion Model Generators directory. Add the badge to your site — it links back to this page.
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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