VisionCraft AI is a platform that analyzes photos, videos, and product images and instantly turns them into useful, structured information. It identifies objects, products, environments, and visual details, then generates descriptions, tags, SEO keywords, and data that creators, sellers, and educators can use.

VisionCraft AI

What we're building

An AI platform that analyzes photos, videos, and product images to generate structured, monetizable insights — object and product detection, auto-generated descriptions, SEO-ready text, visual quality scoring, and structured JSON output — for content creators, small e-commerce sellers, and educators.

Current focus — the MVP

Build the first working version: a landing page plus a working image-analysis demo where a user uploads a photo and the platform returns:

Object/product detection (labels with confidence)
Auto-generated description + SEO tags
Structured JSON output (ready for a database)

This is the smallest thing a customer could click through and find value in. Stripe product-listing export, MongoDB integration, video analysis, and the freemium tiering come after we validate the core loop on a real audience.

(Target users, monetization tiers, and KPIs will be added to this plan as the MVP takes shape and we get real feedback.)

lead

Team Lead

Team management, task planning, delegation, and monitoring

engineer

Full-stack web engineer: React/TanStack Start, Vite, Tailwind, TypeScript, frontend ML (TensorFlow.js), server functions/API routes, hosting & publish tooling.

Buyer must set up new MCP compute resources, create new API keys, configure MongoDB Atlas, connect Stripe with their own secrets, deploy the VisionCraft AI backend, and replace all environment variables. No personal secrets or keys are transferred.

VisionCraft AI

Overview

Mission

VisionCraft AI

What we're building

Current focus — the MVP

The team

Setup