Monetize Your Content Without Selling Out.
AI-powered product placement for micro-creators. Insert branded products into any video post-production — no scripts, no ad reads, no yellow bars.
Before & After: A product seamlessly placed into existing video content using AI.
Traditional product placement chases Reach (celebrities). PlaceAI focuses on Resonance. Micro-creators (1k–50k followers) have the highest engagement rates because their audience sees them as peers, not distant stars. When a product is "just there" in their room or on their desk, it carries the weight of a personal recommendation — without the "sold-out" feel of a scripted ad-read.
The current monetization model is a tax on the viewer's patience. The yellow bar on YouTube, the "Video will play after ad" countdown — these train viewers to hate the brand before they even see it. AI product placement removes the friction, allowing the story to flow uninterrupted.
Most micro-creators face a double-bind: they need money to keep creating, but their audience hates traditional sponsorships. PlaceAI lets creators monetize their backlog and new content without changing their personality or scripts. They don't have to "sell" the product — the product just lives in their world.
We are entering an era of "AI slop" — limitless, cheap, AI-generated content that people are already starting to ignore. Advertisers are desperate for authentic distribution. PlaceAI gives them a Trojan Horse: their product inside trusted, human-made content that people actually want to watch.
| Step | Action | Description |
|---|---|---|
| 1 | 📹 Upload Video | Drag & drop any video clip (3–10 seconds) |
| 2 | 🖼️ Product Asset | Upload reference & frontal images, or generate new assets with AI |
| 3 | 🎯 Placement Prompt | Annotate the placement area and generate a video prompt with AI assistance |
| 4 | ✨ Generate | AI models (Kling, Veo) seamlessly insert the product into the scene |
- AI Video Scan — Automatically analyzes scenes for optimal product placement opportunities
- Placement Chat Agent — Conversational AI that proposes and refines placements based on video + product context
- AI Product Image Generation — Generate product variants using Gemini image models
- Video Editor Workflow — Full-frame video editing with AI-powered placement proposals
- Creator Marketplace — Brands post placement briefs, creators accept and deliver
- Project Dashboard — Manage all placements with status tracking and generation history
| Layer | Technology |
|---|---|
| Frontend | React, TypeScript, Tailwind CSS, Shadcn/UI, Framer Motion |
| Backend | Supabase (Database, Auth, Storage, Edge Functions) |
| AI — Analysis | Google Gemini 2.5 Flash (video understanding, prompt generation) |
| AI — Generation | Kling AI (video-to-video product insertion) |
| AI — Images | Gemini Flash Image (product asset generation) |
# Clone the repository
git clone <YOUR_GIT_URL>
# Navigate to the project
cd placeai
# Install dependencies
npm install
# Start the development server
npm run devThe app will be available at http://localhost:5173.
src/
├── pages/ # Landing, Dashboard, Studio, VideoEditor, Marketplace
├── components/ # UI components, PlacementChat, VideoAnnotator, BeforeAfterSlider
├── contexts/ # Auth context
├── hooks/ # Custom React hooks
├── integrations/ # Supabase client & types
└── lib/ # Utilities
supabase/
├── functions/ # Edge Functions (analyze-video, generate-video, generate-prompt, etc.)
├── migrations/ # Database migrations
└── config.toml # Supabase configuration
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