Now every clothing brand shoots like a big label.
ModelSnapper was an early-stage AI fashion-content platform built to help clothing brands create professional fashion imagery without traditional photoshoots.
It combined AI-generated fashion models with a garment-to-marketing-image workflow, supporting different models, poses, skin tones, and backgrounds.
As the technical co-founder, I built ModelSnapper’s v1 from scratch — the technical and product foundations — alongside a marketing co-founder.

A look at ModelSnapper in action — from uploading a garment and configuring the model to generating AI-powered fashion imagery.
Watch the demo →Built to explore how generative AI could simplify fashion content creation for small-to-medium clothing businesses.
The idea was to simplify fashion content creation for smaller clothing businesses — taking a garment from upload to an AI-generated fashion image through a structured production workflow.
The underlying project work included garment input, model configuration, generation, assessment, regeneration, storage, authentication, and credit management.

Flat garment in, campaign-ready model photo out — real ModelSnapper output.
As technical co-founder, I built v1 from scratch alongside a marketing co-founder — designed for real customers from day one.
Account management and access control via Clerk, with safe session handling throughout.
Usage-based credits and rate limiting to keep generation fair, predictable and cost-controlled.
GA4 + GTM instrumentation to understand usage, conversion and where value is realized.
Free and paid tiers via LemonSqueezy — designed for small-to-medium clothing businesses.
The v1 I built is still online. Explore it and see how AI turned a single product photo into campaign-ready imagery.